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https://www.mkdocs.org/about/release-notes/ +Author-email: Tom Christie +License-Expression: BSD-2-Clause +License-File: LICENSE +Classifier: Development Status :: 5 - Production/Stable +Classifier: Environment :: Console +Classifier: Environment :: Web Environment +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: BSD License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3 :: Only +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Documentation +Classifier: Topic :: Text Processing +Requires-Python: >=3.8 +Requires-Dist: click>=7.0 +Requires-Dist: colorama>=0.4; platform_system == 'Windows' +Requires-Dist: ghp-import>=1.0 +Requires-Dist: importlib-metadata>=4.4; python_version < '3.10' +Requires-Dist: jinja2>=2.11.1 +Requires-Dist: markdown>=3.3.6 +Requires-Dist: markupsafe>=2.0.1 +Requires-Dist: mergedeep>=1.3.4 +Requires-Dist: mkdocs-get-deps>=0.2.0 +Requires-Dist: packaging>=20.5 +Requires-Dist: pathspec>=0.11.1 +Requires-Dist: pyyaml-env-tag>=0.1 +Requires-Dist: pyyaml>=5.1 +Requires-Dist: watchdog>=2.0 +Provides-Extra: i18n +Requires-Dist: babel>=2.9.0; extra == 'i18n' +Provides-Extra: min-versions +Requires-Dist: babel==2.9.0; extra == 'min-versions' +Requires-Dist: click==7.0; extra == 'min-versions' +Requires-Dist: colorama==0.4; (platform_system == 'Windows') and extra == 'min-versions' +Requires-Dist: ghp-import==1.0; extra == 'min-versions' +Requires-Dist: importlib-metadata==4.4; (python_version < '3.10') and extra == 'min-versions' +Requires-Dist: jinja2==2.11.1; extra == 'min-versions' +Requires-Dist: markdown==3.3.6; extra == 'min-versions' +Requires-Dist: markupsafe==2.0.1; extra == 'min-versions' +Requires-Dist: mergedeep==1.3.4; extra == 'min-versions' +Requires-Dist: mkdocs-get-deps==0.2.0; extra == 'min-versions' +Requires-Dist: packaging==20.5; extra == 'min-versions' +Requires-Dist: pathspec==0.11.1; extra == 'min-versions' +Requires-Dist: pyyaml-env-tag==0.1; extra == 'min-versions' +Requires-Dist: pyyaml==5.1; extra == 'min-versions' +Requires-Dist: watchdog==2.0; extra == 'min-versions' +Description-Content-Type: text/markdown + +# MkDocs + +> *Project documentation with Markdown* + +[![PyPI Version][pypi-v-image]][pypi-v-link] +[![Build Status][GHAction-image]][GHAction-link] +[![Coverage Status][codecov-image]][codecov-link] + +MkDocs is a **fast**, **simple** and **downright gorgeous** static site +generator that's geared towards building project documentation. Documentation +source files are written in Markdown, and configured with a single YAML +configuration file. It is designed to be easy to use and can be extended with +third-party themes, plugins, and Markdown extensions. + +Please see the [Documentation][mkdocs] for an introductory tutorial and a full +user guide. + +## Features + +- Build static HTML files from Markdown files. +- Use Plugins and Markdown Extensions to enhance MkDocs. +- Use the built-in themes, third party themes or create your own. +- Publish your documentation anywhere that static files can be served. +- Much more! + +## Support + +If you need help with MkDocs, do not hesitate to get in contact with us! + +- For questions and high-level discussions, use **[Discussions]** on GitHub. + - For small questions, a good alternative is the **[Chat room]** on + Gitter/Matrix. +- To report a bug or make a feature request, open an **[Issue]** on GitHub. + +Please note that we may only provide +support for problems/questions regarding core features of MkDocs. Any +questions or bug reports about features of third-party themes, plugins, +extensions or similar should be made to their respective projects. +But, such questions are *not* banned from the [chat room]. + +Make sure to stick around to answer some questions as well! + +## Links + +- [Official Documentation][mkdocs] +- [Latest Release Notes][release-notes] +- [Catalog of third-party plugins, themes and recipes][catalog] + +## Contributing to MkDocs + +The MkDocs project welcomes, and depends on, contributions from developers and +users in the open source community. Please see the [Contributing Guide] for +information on how you can help. + +## Code of Conduct + +Everyone interacting in the MkDocs project's codebases, issue trackers, and +discussion forums is expected to follow the [PyPA Code of Conduct]. + + +[codecov-image]: https://codecov.io/github/mkdocs/mkdocs/coverage.svg?branch=master +[codecov-link]: https://codecov.io/github/mkdocs/mkdocs?branch=master +[pypi-v-image]: https://img.shields.io/pypi/v/mkdocs.svg +[pypi-v-link]: https://pypi.org/project/mkdocs/ +[GHAction-image]: https://github.com/mkdocs/mkdocs/workflows/CI/badge.svg?branch=master&event=push +[GHAction-link]: https://github.com/mkdocs/mkdocs/actions?query=event%3Apush+branch%3Amaster + +[mkdocs]: https://www.mkdocs.org +[Issue]: https://github.com/mkdocs/mkdocs/issues +[Discussions]: https://github.com/mkdocs/mkdocs/discussions +[Chat room]: https://gitter.im/mkdocs/community +[release-notes]: https://www.mkdocs.org/about/release-notes/ +[Contributing Guide]: https://www.mkdocs.org/about/contributing/ +[PyPA Code of Conduct]: https://www.pypa.io/en/latest/code-of-conduct/ +[catalog]: https://github.com/mkdocs/catalog + +## License + +[BSD-2-Clause](https://github.com/mkdocs/mkdocs/blob/master/LICENSE) diff --git a/micromamba_root/Lib/site-packages/mkdocs-1.6.1.dist-info/RECORD b/micromamba_root/Lib/site-packages/mkdocs-1.6.1.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..de92b9e6ddd390ae03a3dd5dc032c25b3ca64f1a --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs-1.6.1.dist-info/RECORD @@ -0,0 +1,213 @@ +../../../bin/mkdocs,sha256=LbuzcWUPylaqQVCQx3wOP9BD093DSviERusyMUpeQek,495 +mkdocs-1.6.1.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +mkdocs-1.6.1.dist-info/METADATA,sha256=Mhz9reV3GMt3CGW6nxWhmU9lpqCHHpUOPJJNTKbhSms,6038 +mkdocs-1.6.1.dist-info/RECORD,, +mkdocs-1.6.1.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 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b/micromamba_root/Lib/site-packages/mkdocs-1.6.1.dist-info/entry_points.txt @@ -0,0 +1,9 @@ +[console_scripts] +mkdocs = mkdocs.__main__:cli + +[mkdocs.plugins] +search = mkdocs.contrib.search:SearchPlugin + +[mkdocs.themes] +mkdocs = mkdocs.themes.mkdocs +readthedocs = mkdocs.themes.readthedocs diff --git a/micromamba_root/Lib/site-packages/mkdocs/__init__.py b/micromamba_root/Lib/site-packages/mkdocs/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7652a394e30911a3d34fd7def64fa5b40406a39d --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/__init__.py @@ -0,0 +1,5 @@ +#!/usr/bin/env python + + +# For acceptable version formats, see https://www.python.org/dev/peps/pep-0440/ +__version__ = '1.6.1' diff --git a/micromamba_root/Lib/site-packages/mkdocs/__main__.py b/micromamba_root/Lib/site-packages/mkdocs/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..c8d40969e767c659956de1600f66005c02a49ea9 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/__main__.py @@ -0,0 +1,370 @@ +#!/usr/bin/env python + +from __future__ import annotations + +import logging +import os +import shutil +import sys +import textwrap +import traceback +import warnings + +import click + +from mkdocs import __version__, config, utils + +if sys.platform.startswith("win"): + try: + import colorama + except ImportError: + pass + else: + colorama.init() + +log = logging.getLogger(__name__) + + +def _showwarning(message, category, filename, lineno, file=None, line=None): + try: + # Last stack frames: + # * ... + # * Location of call to deprecated function <-- include this + # * Location of call to warn() <-- include this + # * (stdlib) Location of call to showwarning function + # * (this function) Location of call to extract_stack() + stack = [frame for frame in traceback.extract_stack() if frame.line][-4:-2] + # Make sure the actual affected file's name is still present (the case of syntax warning): + if not any(frame.filename == filename for frame in stack): + stack = stack[-1:] + [traceback.FrameSummary(filename, lineno, '')] + + tb = ''.join(traceback.format_list(stack)) + except Exception: + tb = f' File "{filename}", line {lineno}' + + log.info(f'{category.__name__}: {message}\n{tb}') + + +def _enable_warnings(): + # When `python -W...` or `PYTHONWARNINGS` are used, `sys.warnoptions` is set. + # In that case, we skip warnings configuration since + # we don't want to overwrite the user configuration. + if not sys.warnoptions: + from mkdocs.commands import build + + build.log.addFilter(utils.DuplicateFilter()) + + warnings.simplefilter('module', DeprecationWarning) + warnings.showwarning = _showwarning + + +class ColorFormatter(logging.Formatter): + colors = { + 'CRITICAL': 'red', + 'ERROR': 'red', + 'WARNING': 'yellow', + 'DEBUG': 'blue', + } + + text_wrapper = textwrap.TextWrapper( + width=shutil.get_terminal_size(fallback=(0, 0)).columns, + replace_whitespace=False, + break_long_words=False, + break_on_hyphens=False, + initial_indent=' ' * 11, + subsequent_indent=' ' * 11, + ) + + def format(self, record): + message = super().format(record) + prefix = f'{record.levelname:<8}- ' + if record.levelname in self.colors: + prefix = click.style(prefix, fg=self.colors[record.levelname]) + if self.text_wrapper.width: + # Only wrap text if a terminal width was detected + msg = '\n'.join(self.text_wrapper.fill(line) for line in message.splitlines()) + # Prepend prefix after wrapping so that color codes don't affect length + return prefix + msg[11:] + return prefix + message + + +class State: + """Maintain logging level.""" + + def __init__(self, log_name='mkdocs', level=logging.INFO): + self.logger = logging.getLogger(log_name) + self.logger.setLevel(level) + self.logger.propagate = False + + self.stream = logging.StreamHandler() + self.stream.setFormatter(ColorFormatter()) + self.stream.name = 'MkDocsStreamHandler' + self.logger.addHandler(self.stream) + + def __del__(self): + self.logger.removeHandler(self.stream) + + +pass_state = click.make_pass_decorator(State, ensure=True) + +clean_help = "Remove old files from the site_dir before building (the default)." +config_help = ( + "Provide a specific MkDocs config. This can be a file name, or '-' to read from stdin." +) +dev_addr_help = "IP address and port to serve documentation locally (default: localhost:8000)" +serve_open_help = "Open the website in a Web browser after the initial build finishes." +strict_help = "Enable strict mode. This will cause MkDocs to abort the build on any warnings." +theme_help = "The theme to use when building your documentation." +theme_choices = sorted(utils.get_theme_names()) +site_dir_help = "The directory to output the result of the documentation build." +use_directory_urls_help = "Use directory URLs when building pages (the default)." +reload_help = "Enable the live reloading in the development server (this is the default)" +no_reload_help = "Disable the live reloading in the development server." +serve_dirty_help = "Only re-build files that have changed." +serve_clean_help = ( + "Build the site without any effects of `mkdocs serve` - pure `mkdocs build`, then serve." +) +commit_message_help = ( + "A commit message to use when committing to the " + "GitHub Pages remote branch. Commit {sha} and MkDocs {version} are available as expansions" +) +remote_branch_help = ( + "The remote branch to commit to for GitHub Pages. This " + "overrides the value specified in config" +) +remote_name_help = ( + "The remote name to commit to for GitHub Pages. This overrides the value specified in config" +) +force_help = "Force the push to the repository." +no_history_help = "Replace the whole Git history with one new commit." +ignore_version_help = ( + "Ignore check that build is not being deployed with an older version of MkDocs." +) +watch_theme_help = ( + "Include the theme in list of files to watch for live reloading. " + "Ignored when live reload is not used." +) +shell_help = "Use the shell when invoking Git." +watch_help = "A directory or file to watch for live reloading. Can be supplied multiple times." +projects_file_help = ( + "URL or local path of the registry file that declares all known MkDocs-related projects." +) + + +def add_options(*opts): + def inner(f): + for i in reversed(opts): + f = i(f) + return f + + return inner + + +def verbose_option(f): + def callback(ctx, param, value): + state = ctx.ensure_object(State) + if value: + state.logger.setLevel(logging.DEBUG) + + return click.option( + '-v', + '--verbose', + is_flag=True, + expose_value=False, + help='Enable verbose output', + callback=callback, + )(f) + + +def quiet_option(f): + def callback(ctx, param, value): + state = ctx.ensure_object(State) + if value: + state.logger.setLevel(logging.ERROR) + + return click.option( + '-q', + '--quiet', + is_flag=True, + expose_value=False, + help='Silence warnings', + callback=callback, + )(f) + + +def color_option(f): + def callback(ctx, param, value): + state = ctx.ensure_object(State) + if value is False or ( + value is None + and ( + not sys.stdout.isatty() + or os.environ.get('NO_COLOR') + or os.environ.get('TERM') == 'dumb' + ) + ): + state.stream.setFormatter(logging.Formatter('%(levelname)-8s- %(message)s')) + + return click.option( + '--color/--no-color', + is_flag=True, + default=None, + expose_value=False, + help="Force enable or disable color and wrapping for the output. Default is auto-detect.", + callback=callback, + )(f) + + +common_options = add_options(quiet_option, verbose_option) +common_config_options = add_options( + click.option('-f', '--config-file', type=click.File('rb'), help=config_help), + # Don't override config value if user did not specify --strict flag + # Conveniently, load_config drops None values + click.option('-s', '--strict/--no-strict', is_flag=True, default=None, help=strict_help), + click.option('-t', '--theme', type=click.Choice(theme_choices), help=theme_help), + # As with --strict, set the default to None so that this doesn't incorrectly + # override the config file + click.option( + '--use-directory-urls/--no-directory-urls', + is_flag=True, + default=None, + help=use_directory_urls_help, + ), +) + +PYTHON_VERSION = f"{sys.version_info.major}.{sys.version_info.minor}" + +PKG_DIR = os.path.dirname(os.path.abspath(__file__)) + + +@click.group(context_settings=dict(help_option_names=['-h', '--help'], max_content_width=120)) +@click.version_option( + __version__, + '-V', + '--version', + message=f'%(prog)s, version %(version)s from { PKG_DIR } (Python { PYTHON_VERSION })', +) +@common_options +@color_option +def cli(): + """MkDocs - Project documentation with Markdown.""" + + +@cli.command(name="serve") +@click.option('-a', '--dev-addr', help=dev_addr_help, metavar='') +@click.option('-o', '--open', 'open_in_browser', help=serve_open_help, is_flag=True) +@click.option('--no-livereload', 'livereload', flag_value=False, help=no_reload_help) +@click.option('--livereload', 'livereload', flag_value=True, default=True, hidden=True) +@click.option('--dirtyreload', 'build_type', flag_value='dirty', hidden=True) +@click.option('--dirty', 'build_type', flag_value='dirty', help=serve_dirty_help) +@click.option('-c', '--clean', 'build_type', flag_value='clean', help=serve_clean_help) +@click.option('--watch-theme', help=watch_theme_help, is_flag=True) +@click.option( + '-w', '--watch', help=watch_help, type=click.Path(exists=True), multiple=True, default=[] +) +@common_config_options +@common_options +def serve_command(**kwargs): + """Run the builtin development server.""" + from mkdocs.commands import serve + + _enable_warnings() + serve.serve(**kwargs) + + +@cli.command(name="build") +@click.option('-c', '--clean/--dirty', is_flag=True, default=True, help=clean_help) +@common_config_options +@click.option('-d', '--site-dir', type=click.Path(), help=site_dir_help) +@common_options +def build_command(clean, **kwargs): + """Build the MkDocs documentation.""" + from mkdocs.commands import build + + _enable_warnings() + cfg = config.load_config(**kwargs) + cfg.plugins.on_startup(command='build', dirty=not clean) + try: + build.build(cfg, dirty=not clean) + finally: + cfg.plugins.on_shutdown() + + +@cli.command(name="gh-deploy") +@click.option('-c', '--clean/--dirty', is_flag=True, default=True, help=clean_help) +@click.option('-m', '--message', help=commit_message_help) +@click.option('-b', '--remote-branch', help=remote_branch_help) +@click.option('-r', '--remote-name', help=remote_name_help) +@click.option('--force', is_flag=True, help=force_help) +@click.option('--no-history', is_flag=True, help=no_history_help) +@click.option('--ignore-version', is_flag=True, help=ignore_version_help) +@click.option('--shell', is_flag=True, help=shell_help) +@common_config_options +@click.option('-d', '--site-dir', type=click.Path(), help=site_dir_help) +@common_options +def gh_deploy_command( + clean, message, remote_branch, remote_name, force, no_history, ignore_version, shell, **kwargs +): + """Deploy your documentation to GitHub Pages.""" + from mkdocs.commands import build, gh_deploy + + _enable_warnings() + cfg = config.load_config(remote_branch=remote_branch, remote_name=remote_name, **kwargs) + cfg.plugins.on_startup(command='gh-deploy', dirty=not clean) + try: + build.build(cfg, dirty=not clean) + finally: + cfg.plugins.on_shutdown() + gh_deploy.gh_deploy( + cfg, + message=message, + force=force, + no_history=no_history, + ignore_version=ignore_version, + shell=shell, + ) + + +@cli.command(name="get-deps") +@verbose_option +@click.option('-f', '--config-file', type=click.File('rb'), help=config_help) +@click.option( + '-p', + '--projects-file', + default=None, + help=projects_file_help, + show_default=True, +) +def get_deps_command(config_file, projects_file): + """Show required PyPI packages inferred from plugins in mkdocs.yml.""" + from mkdocs_get_deps import get_deps, get_projects_file + + from mkdocs.config.base import _open_config_file + + warning_counter = utils.CountHandler() + warning_counter.setLevel(logging.WARNING) + logging.getLogger('mkdocs').addHandler(warning_counter) + + with get_projects_file(projects_file) as p: + with _open_config_file(config_file) as f: + deps = get_deps(config_file=f, projects_file=p) + + for dep in deps: + print(dep) # noqa: T201 + + if warning_counter.get_counts(): + sys.exit(1) + + +@cli.command(name="new") +@click.argument("project_directory") +@common_options +def new_command(project_directory): + """Create a new MkDocs project.""" + from mkdocs.commands import new + + new.new(project_directory) + + +if __name__ == '__main__': # pragma: no cover + cli() diff --git a/micromamba_root/Lib/site-packages/mkdocs/exceptions.py b/micromamba_root/Lib/site-packages/mkdocs/exceptions.py new file mode 100644 index 0000000000000000000000000000000000000000..e1177769343f5853e187daf6ea941585b26b1413 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/exceptions.py @@ -0,0 +1,41 @@ +from __future__ import annotations + +from click import ClickException, echo + + +class MkDocsException(ClickException): + """ + The base class which all MkDocs exceptions inherit from. This should + not be raised directly. One of the subclasses should be raised instead. + """ + + +class Abort(MkDocsException, SystemExit): + """Abort the build.""" + + code = 1 + + def show(self, *args, **kwargs) -> None: + echo('\n' + self.format_message()) + + +class ConfigurationError(MkDocsException): + """ + This error is raised by configuration validation when a validation error + is encountered. This error should be raised by any configuration options + defined in a plugin's [config_scheme][]. + """ + + +class BuildError(MkDocsException): + """ + This error may be raised by MkDocs during the build process. Plugins should + not raise this error. + """ + + +class PluginError(BuildError): + """ + A subclass of [`mkdocs.exceptions.BuildError`][] which can be raised by plugin + events. + """ diff --git a/micromamba_root/Lib/site-packages/mkdocs/localization.py b/micromamba_root/Lib/site-packages/mkdocs/localization.py new file mode 100644 index 0000000000000000000000000000000000000000..aff643fd59b010a3e771807725e73322a57a463c --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/localization.py @@ -0,0 +1,92 @@ +from __future__ import annotations + +import logging +import os +from typing import TYPE_CHECKING, Sequence + +from jinja2.ext import Extension, InternationalizationExtension + +from mkdocs.config.base import ValidationError + +if TYPE_CHECKING: + import jinja2 + +try: + from babel.core import Locale, UnknownLocaleError + from babel.support import NullTranslations, Translations + + has_babel = True +except ImportError: # pragma: no cover + from mkdocs.utils.babel_stub import Locale, UnknownLocaleError # type: ignore + + has_babel = False + + +log = logging.getLogger(__name__) +base_path = os.path.dirname(os.path.abspath(__file__)) + + +class NoBabelExtension(InternationalizationExtension): # pragma: no cover + def __init__(self, environment): + Extension.__init__(self, environment) + environment.extend( + install_null_translations=self._install_null, + newstyle_gettext=False, + ) + + +def parse_locale(locale: str) -> Locale: + try: + return Locale.parse(locale, sep='_') + except (ValueError, UnknownLocaleError, TypeError) as e: + raise ValidationError(f'Invalid value for locale: {e}') + + +def install_translations( + env: jinja2.Environment, locale: Locale, theme_dirs: Sequence[str] +) -> None: + if has_babel: + env.add_extension('jinja2.ext.i18n') + translations = _get_merged_translations(theme_dirs, 'locales', locale) + if translations is not None: + env.install_gettext_translations(translations) # type: ignore[attr-defined] + else: + env.install_null_translations() # type: ignore[attr-defined] + if locale.language != 'en': + log.warning( + f"No translations could be found for the locale '{locale}'. " + 'Defaulting to English.' + ) + else: # pragma: no cover + # no babel installed, add dummy support for trans/endtrans blocks + env.add_extension(NoBabelExtension) + env.install_null_translations() # type: ignore[attr-defined] + + +def _get_merged_translations( + theme_dirs: Sequence[str], locales_dir: str, locale: Locale +) -> Translations | None: + merged_translations: Translations | None = None + + log.debug(f"Looking for translations for locale '{locale}'") + if locale.territory: + locale_str = f"{locale.language}_{locale.territory}" + else: + locale_str = locale.language + for theme_dir in reversed(theme_dirs): + dirname = os.path.join(theme_dir, locales_dir) + translations = Translations.load(dirname, [locale_str]) + + if type(translations) is NullTranslations: + log.debug(f"No translations found here: '{dirname}'") + continue + if TYPE_CHECKING: + assert isinstance(translations, Translations) + + log.debug(f"Translations found here: '{dirname}'") + if merged_translations is None: + merged_translations = translations + else: + merged_translations.merge(translations) + + return merged_translations diff --git a/micromamba_root/Lib/site-packages/mkdocs/plugins.py b/micromamba_root/Lib/site-packages/mkdocs/plugins.py new file mode 100644 index 0000000000000000000000000000000000000000..f3dcb996abf42407640b842c41d6c563462c7fff --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/plugins.py @@ -0,0 +1,697 @@ +"""Implements the plugin API for MkDocs.""" + +from __future__ import annotations + +import logging +import sys +from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, MutableMapping, TypeVar, overload + +if sys.version_info >= (3, 10): + from importlib.metadata import EntryPoint, entry_points +else: + from importlib_metadata import EntryPoint, entry_points + +if TYPE_CHECKING: + import jinja2.environment + +from mkdocs import utils +from mkdocs.config.base import Config, ConfigErrors, ConfigWarnings, LegacyConfig, PlainConfigSchema + +if TYPE_CHECKING: + from mkdocs.config.defaults import MkDocsConfig + from mkdocs.livereload import LiveReloadServer + from mkdocs.structure.files import Files + from mkdocs.structure.nav import Navigation + from mkdocs.structure.pages import Page + from mkdocs.utils.templates import TemplateContext + +if TYPE_CHECKING: + from typing_extensions import Concatenate, ParamSpec +else: + ParamSpec = TypeVar + +P = ParamSpec('P') +T = TypeVar('T') + + +log = logging.getLogger('mkdocs.plugins') + + +def get_plugins() -> dict[str, EntryPoint]: + """Return a dict of all installed Plugins as {name: EntryPoint}.""" + plugins = entry_points(group='mkdocs.plugins') + + # Allow third-party plugins to override core plugins + pluginmap = {} + for plugin in plugins: + if plugin.name in pluginmap and plugin.value.startswith("mkdocs.contrib."): + continue + + pluginmap[plugin.name] = plugin + + return pluginmap + + +SomeConfig = TypeVar('SomeConfig', bound=Config) + + +class BasePlugin(Generic[SomeConfig]): + """ + Plugin base class. + + All plugins should subclass this class. + """ + + config_class: type[SomeConfig] = LegacyConfig # type: ignore[assignment] + config_scheme: PlainConfigSchema = () + config: SomeConfig = {} # type: ignore[assignment] + + supports_multiple_instances: bool = False + """Set to true in subclasses to declare support for adding the same plugin multiple times.""" + + def __class_getitem__(cls, config_class: type[Config]): + """Eliminates the need to write `config_class = FooConfig` when subclassing BasePlugin[FooConfig].""" + name = f'{cls.__name__}[{config_class.__name__}]' + return type(name, (cls,), dict(config_class=config_class)) + + def __init_subclass__(cls): + if not issubclass(cls.config_class, Config): + raise TypeError( + f"config_class {cls.config_class} must be a subclass of `mkdocs.config.base.Config`" + ) + if cls.config_class is not LegacyConfig: + cls.config_scheme = cls.config_class._schema # For compatibility. + + def load_config( + self, options: dict[str, Any], config_file_path: str | None = None + ) -> tuple[ConfigErrors, ConfigWarnings]: + """Load config from a dict of options. Returns a tuple of (errors, warnings).""" + if self.config_class is LegacyConfig: + self.config = LegacyConfig(self.config_scheme, config_file_path=config_file_path) # type: ignore + else: + self.config = self.config_class(config_file_path=config_file_path) + + self.config.load_dict(options) + + return self.config.validate() + + # One-time events + + def on_startup(self, *, command: Literal['build', 'gh-deploy', 'serve'], dirty: bool) -> None: + """ + The `startup` event runs once at the very beginning of an `mkdocs` invocation. + + New in MkDocs 1.4. + + The presence of an `on_startup` method (even if empty) migrates the plugin to the new + system where the plugin object is kept across builds within one `mkdocs serve`. + + Note that for initializing variables, the `__init__` method is still preferred. + For initializing per-build variables (and whenever in doubt), use the `on_config` event. + + Args: + command: the command that MkDocs was invoked with, e.g. "serve" for `mkdocs serve`. + dirty: whether `--dirty` flag was passed. + """ + + def on_shutdown(self) -> None: + """ + The `shutdown` event runs once at the very end of an `mkdocs` invocation, before exiting. + + This event is relevant only for support of `mkdocs serve`, otherwise within a + single build it's undistinguishable from `on_post_build`. + + New in MkDocs 1.4. + + The presence of an `on_shutdown` method (even if empty) migrates the plugin to the new + system where the plugin object is kept across builds within one `mkdocs serve`. + + Note the `on_post_build` method is still preferred for cleanups, when possible, as it has + a much higher chance of actually triggering. `on_shutdown` is "best effort" because it + relies on detecting a graceful shutdown of MkDocs. + """ + + def on_serve( + self, server: LiveReloadServer, /, *, config: MkDocsConfig, builder: Callable + ) -> LiveReloadServer | None: + """ + The `serve` event is only called when the `serve` command is used during + development. It runs only once, after the first build finishes. + It is passed the `Server` instance which can be modified before + it is activated. For example, additional files or directories could be added + to the list of "watched" files for auto-reloading. + + Args: + server: `livereload.Server` instance + config: global configuration object + builder: a callable which gets passed to each call to `server.watch` + + Returns: + `livereload.Server` instance + """ + return server + + # Global events + + def on_config(self, config: MkDocsConfig) -> MkDocsConfig | None: + """ + The `config` event is the first event called on build and is run immediately + after the user configuration is loaded and validated. Any alterations to the + config should be made here. + + Args: + config: global configuration object + + Returns: + global configuration object + """ + return config + + def on_pre_build(self, *, config: MkDocsConfig) -> None: + """ + The `pre_build` event does not alter any variables. Use this event to call + pre-build scripts. + + Args: + config: global configuration object + """ + + def on_files(self, files: Files, /, *, config: MkDocsConfig) -> Files | None: + """ + The `files` event is called after the files collection is populated from the + `docs_dir`. Use this event to add, remove, or alter files in the + collection. Note that Page objects have not yet been associated with the + file objects in the collection. Use [Page Events](plugins.md#page-events) to manipulate page + specific data. + + Args: + files: global files collection + config: global configuration object + + Returns: + global files collection + """ + return files + + def on_nav( + self, nav: Navigation, /, *, config: MkDocsConfig, files: Files + ) -> Navigation | None: + """ + The `nav` event is called after the site navigation is created and can + be used to alter the site navigation. + + Args: + nav: global navigation object + config: global configuration object + files: global files collection + + Returns: + global navigation object + """ + return nav + + def on_env( + self, env: jinja2.Environment, /, *, config: MkDocsConfig, files: Files + ) -> jinja2.Environment | None: + """ + The `env` event is called after the Jinja template environment is created + and can be used to alter the + [Jinja environment](https://jinja.palletsprojects.com/en/latest/api/#jinja2.Environment). + + Args: + env: global Jinja environment + config: global configuration object + files: global files collection + + Returns: + global Jinja Environment + """ + return env + + def on_post_build(self, *, config: MkDocsConfig) -> None: + """ + The `post_build` event does not alter any variables. Use this event to call + post-build scripts. + + Args: + config: global configuration object + """ + + def on_build_error(self, *, error: Exception) -> None: + """ + The `build_error` event is called after an exception of any kind + is caught by MkDocs during the build process. + Use this event to clean things up before MkDocs terminates. Note that any other + events which were scheduled to run after the error will have been skipped. See + [Handling Errors](plugins.md#handling-errors) for more details. + + Args: + error: exception raised + """ + + # Template events + + def on_pre_template( + self, template: jinja2.Template, /, *, template_name: str, config: MkDocsConfig + ) -> jinja2.Template | None: + """ + The `pre_template` event is called immediately after the subject template is + loaded and can be used to alter the template. + + Args: + template: a Jinja2 [Template](https://jinja.palletsprojects.com/en/latest/api/#jinja2.Template) object + template_name: string filename of template + config: global configuration object + + Returns: + a Jinja2 [Template](https://jinja.palletsprojects.com/en/latest/api/#jinja2.Template) object + """ + return template + + def on_template_context( + self, context: TemplateContext, /, *, template_name: str, config: MkDocsConfig + ) -> TemplateContext | None: + """ + The `template_context` event is called immediately after the context is created + for the subject template and can be used to alter the context for that specific + template only. + + Args: + context: dict of template context variables + template_name: string filename of template + config: global configuration object + + Returns: + dict of template context variables + """ + return context + + def on_post_template( + self, output_content: str, /, *, template_name: str, config: MkDocsConfig + ) -> str | None: + """ + The `post_template` event is called after the template is rendered, but before + it is written to disc and can be used to alter the output of the template. + If an empty string is returned, the template is skipped and nothing is is + written to disc. + + Args: + output_content: output of rendered template as string + template_name: string filename of template + config: global configuration object + + Returns: + output of rendered template as string + """ + return output_content + + # Page events + + def on_pre_page(self, page: Page, /, *, config: MkDocsConfig, files: Files) -> Page | None: + """ + The `pre_page` event is called before any actions are taken on the subject + page and can be used to alter the `Page` instance. + + Args: + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + files: global files collection + + Returns: + `mkdocs.structure.pages.Page` instance + """ + return page + + def on_page_read_source(self, /, *, page: Page, config: MkDocsConfig) -> str | None: + """ + > DEPRECATED: Instead of this event, prefer one of these alternatives: + > + > * Since MkDocs 1.6, instead set `content_bytes`/`content_string` of a `File` inside [`on_files`][]. + > * Usually (although it's not an exact alternative), `on_page_markdown` can serve the same purpose. + + The `on_page_read_source` event can replace the default mechanism to read + the contents of a page's source from the filesystem. + + Args: + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + + Returns: + The raw source for a page as unicode string. If `None` is returned, the + default loading from a file will be performed. + """ + return None + + def on_page_markdown( + self, markdown: str, /, *, page: Page, config: MkDocsConfig, files: Files + ) -> str | None: + """ + The `page_markdown` event is called after the page's markdown is loaded + from file and can be used to alter the Markdown source text. The meta- + data has been stripped off and is available as `page.meta` at this point. + + Args: + markdown: Markdown source text of page as string + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + files: global files collection + + Returns: + Markdown source text of page as string + """ + return markdown + + def on_page_content( + self, html: str, /, *, page: Page, config: MkDocsConfig, files: Files + ) -> str | None: + """ + The `page_content` event is called after the Markdown text is rendered to + HTML (but before being passed to a template) and can be used to alter the + HTML body of the page. + + Args: + html: HTML rendered from Markdown source as string + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + files: global files collection + + Returns: + HTML rendered from Markdown source as string + """ + return html + + def on_page_context( + self, context: TemplateContext, /, *, page: Page, config: MkDocsConfig, nav: Navigation + ) -> TemplateContext | None: + """ + The `page_context` event is called after the context for a page is created + and can be used to alter the context for that specific page only. + + Args: + context: dict of template context variables + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + nav: global navigation object + + Returns: + dict of template context variables + """ + return context + + def on_post_page(self, output: str, /, *, page: Page, config: MkDocsConfig) -> str | None: + """ + The `post_page` event is called after the template is rendered, but + before it is written to disc and can be used to alter the output of the + page. If an empty string is returned, the page is skipped and nothing is + written to disc. + + Args: + output: output of rendered template as string + page: `mkdocs.structure.pages.Page` instance + config: global configuration object + + Returns: + output of rendered template as string + """ + return output + + +EVENTS = tuple(k[3:] for k in BasePlugin.__dict__ if k.startswith("on_")) + +# The above definitions were just for docs and type checking, we don't actually want them. +for k in EVENTS: + delattr(BasePlugin, 'on_' + k) + + +def event_priority(priority: float) -> Callable[[T], T]: + """ + A decorator to set an event priority for an event handler method. + + Recommended priority values: + `100` "first", `50` "early", `0` "default", `-50` "late", `-100` "last". + As different plugins discover more precise relations to each other, the values should be further tweaked. + + Usage example: + + ```python + @plugins.event_priority(-100) # Wishing to run this after all other plugins' `on_files` events. + def on_files(self, files, config, **kwargs): + ... + ``` + + New in MkDocs 1.4. + Recommended shim for backwards compatibility: + + ```python + try: + from mkdocs.plugins import event_priority + except ImportError: + event_priority = lambda priority: lambda f: f # No-op fallback + ``` + """ + + def decorator(event_method): + event_method.mkdocs_priority = priority + return event_method + + return decorator + + +class CombinedEvent(Generic[P, T]): + """ + A descriptor that allows defining multiple event handlers and declaring them under one event's name. + + Usage example: + + ```python + @plugins.event_priority(100) + def _on_page_markdown_1(self, markdown: str, **kwargs): + ... + + @plugins.event_priority(-50) + def _on_page_markdown_2(self, markdown: str, **kwargs): + ... + + on_page_markdown = plugins.CombinedEvent(_on_page_markdown_1, _on_page_markdown_2) + ``` + + NOTE: The names of the sub-methods **can't** start with `on_`; + instead they can start with `_on_` like in the the above example, or anything else. + """ + + def __init__(self, *methods: Callable[Concatenate[Any, P], T]): + self.methods = methods + + # This is only for mypy, so CombinedEvent can be a valid override of the methods in BasePlugin + def __call__(self, instance: BasePlugin, *args: P.args, **kwargs: P.kwargs) -> T: + raise TypeError(f"{type(self).__name__!r} object is not callable") + + def __get__(self, instance, owner=None): + return CombinedEvent(*(f.__get__(instance, owner) for f in self.methods)) + + +class PluginCollection(dict, MutableMapping[str, BasePlugin]): + """ + A collection of plugins. + + In addition to being a dict of Plugin instances, each event method is registered + upon being added. All registered methods for a given event can then be run in order + by calling `run_event`. + """ + + _current_plugin: str | None + + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + self.events: dict[str, list[Callable]] = {k: [] for k in EVENTS} + self._event_origins: dict[Callable, str] = {} + + def _register_event( + self, event_name: str, method: CombinedEvent | Callable, plugin_name: str | None = None + ) -> None: + """Register a method for an event.""" + if isinstance(method, CombinedEvent): + for sub in method.methods: + self._register_event(event_name, sub, plugin_name=plugin_name) + else: + events = self.events[event_name] + if event_name == 'page_read_source' and len(events) == 1: + plugin1 = self._event_origins.get(next(iter(events)), '') + plugin2 = plugin_name or '' + log.warning( + "Multiple 'on_page_read_source' handlers can't work " + f"(both plugins '{plugin1}' and '{plugin2}' registered one)." + ) + utils.insort(events, method, key=lambda m: -getattr(m, 'mkdocs_priority', 0)) + if plugin_name: + try: + self._event_origins[method] = plugin_name + except TypeError: # If the method is somehow not hashable. + pass + + def __getitem__(self, key: str) -> BasePlugin: + return super().__getitem__(key) + + def __setitem__(self, key: str, value: BasePlugin) -> None: + super().__setitem__(key, value) + # Register all of the event methods defined for this Plugin. + for event_name in (x for x in dir(value) if x.startswith('on_')): + method = getattr(value, event_name, None) + if callable(method): + self._register_event(event_name[3:], method, plugin_name=key) + + @overload + def run_event(self, name: str, **kwargs) -> Any: + ... + + @overload + def run_event(self, name: str, item: T, **kwargs) -> T: + ... + + def run_event(self, name: str, item=None, **kwargs): + """ + Run all registered methods of an event. + + `item` is the object to be modified or replaced and returned by the event method. + If it isn't given the event method creates a new object to be returned. + All other keywords are variables for context, but would not generally + be modified by the event method. + """ + pass_item = item is not None + for method in self.events[name]: + self._current_plugin = self._event_origins.get(method, '') + if log.getEffectiveLevel() <= logging.DEBUG: + log.debug(f"Running `{name}` event from plugin '{self._current_plugin}'") + if pass_item: + result = method(item, **kwargs) + else: + result = method(**kwargs) + # keep item if method returned `None` + if result is not None: + item = result + self._current_plugin = None + return item + + def on_startup(self, *, command: Literal['build', 'gh-deploy', 'serve'], dirty: bool) -> None: + return self.run_event('startup', command=command, dirty=dirty) + + def on_shutdown(self) -> None: + return self.run_event('shutdown') + + def on_serve( + self, server: LiveReloadServer, *, config: MkDocsConfig, builder: Callable + ) -> LiveReloadServer: + return self.run_event('serve', server, config=config, builder=builder) + + def on_config(self, config: MkDocsConfig) -> MkDocsConfig: + return self.run_event('config', config) + + def on_pre_build(self, *, config: MkDocsConfig) -> None: + return self.run_event('pre_build', config=config) + + def on_files(self, files: Files, *, config: MkDocsConfig) -> Files: + return self.run_event('files', files, config=config) + + def on_nav(self, nav: Navigation, *, config: MkDocsConfig, files: Files) -> Navigation: + return self.run_event('nav', nav, config=config, files=files) + + def on_env(self, env: jinja2.Environment, *, config: MkDocsConfig, files: Files): + return self.run_event('env', env, config=config, files=files) + + def on_post_build(self, *, config: MkDocsConfig) -> None: + return self.run_event('post_build', config=config) + + def on_build_error(self, *, error: Exception) -> None: + return self.run_event('build_error', error=error) + + def on_pre_template( + self, template: jinja2.Template, *, template_name: str, config: MkDocsConfig + ) -> jinja2.Template: + return self.run_event('pre_template', template, template_name=template_name, config=config) + + def on_template_context( + self, context: TemplateContext, *, template_name: str, config: MkDocsConfig + ) -> TemplateContext: + return self.run_event( + 'template_context', context, template_name=template_name, config=config + ) + + def on_post_template( + self, output_content: str, *, template_name: str, config: MkDocsConfig + ) -> str: + return self.run_event( + 'post_template', output_content, template_name=template_name, config=config + ) + + def on_pre_page(self, page: Page, *, config: MkDocsConfig, files: Files) -> Page: + return self.run_event('pre_page', page, config=config, files=files) + + def on_page_read_source(self, *, page: Page, config: MkDocsConfig) -> str | None: + return self.run_event('page_read_source', page=page, config=config) + + def on_page_markdown( + self, markdown: str, *, page: Page, config: MkDocsConfig, files: Files + ) -> str: + return self.run_event('page_markdown', markdown, page=page, config=config, files=files) + + def on_page_content(self, html: str, *, page: Page, config: MkDocsConfig, files: Files) -> str: + return self.run_event('page_content', html, page=page, config=config, files=files) + + def on_page_context( + self, context: TemplateContext, *, page: Page, config: MkDocsConfig, nav: Navigation + ) -> TemplateContext: + return self.run_event('page_context', context, page=page, config=config, nav=nav) + + def on_post_page(self, output: str, *, page: Page, config: MkDocsConfig) -> str: + return self.run_event('post_page', output, page=page, config=config) + + +class PrefixedLogger(logging.LoggerAdapter): + """A logger adapter to prefix log messages.""" + + def __init__(self, prefix: str, logger: logging.Logger) -> None: + """ + Initialize the logger adapter. + + Arguments: + prefix: The string to insert in front of every message. + logger: The logger instance. + """ + super().__init__(logger, {}) + self.prefix = prefix + + def process(self, msg: str, kwargs: MutableMapping[str, Any]) -> tuple[str, Any]: + """ + Process the message. + + Arguments: + msg: The message: + kwargs: Remaining arguments. + + Returns: + The processed message. + """ + return f"{self.prefix}: {msg}", kwargs + + +def get_plugin_logger(name: str) -> PrefixedLogger: + """ + Return a logger for plugins. + + Arguments: + name: The name to use with `logging.getLogger`. + + Returns: + A logger configured to work well in MkDocs, + prefixing each message with the plugin package name. + + Example: + ```python + from mkdocs.plugins import get_plugin_logger + + log = get_plugin_logger(__name__) + log.info("My plugin message") + ``` + """ + logger = logging.getLogger(f"mkdocs.plugins.{name}") + return PrefixedLogger(name.split(".", 1)[0], logger) diff --git a/micromamba_root/Lib/site-packages/mkdocs/py.typed b/micromamba_root/Lib/site-packages/mkdocs/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/micromamba_root/Lib/site-packages/mkdocs/theme.py b/micromamba_root/Lib/site-packages/mkdocs/theme.py new file mode 100644 index 0000000000000000000000000000000000000000..b45f1079203e60443de699c20f742a5e97830239 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs/theme.py @@ -0,0 +1,166 @@ +from __future__ import annotations + +import logging +import os +import warnings +from typing import Any, Collection, MutableMapping + +import jinja2 +import yaml + +try: + from yaml import CSafeLoader as SafeLoader +except ImportError: # pragma: no cover + from yaml import SafeLoader # type: ignore + +from mkdocs import localization, utils +from mkdocs.config.base import ValidationError +from mkdocs.utils import templates + +log = logging.getLogger(__name__) + + +class Theme(MutableMapping[str, Any]): + """ + A Theme object. + + Args: + name: The name of the theme as defined by its entrypoint. + custom_dir: User defined directory for custom templates. + static_templates: A list of templates to render as static pages. + + All other keywords are passed as-is and made available as a key/value mapping. + """ + + def __init__( + self, + name: str | None = None, + *, + custom_dir: str | None = None, + static_templates: Collection[str] = (), + locale: str | None = None, + **user_config, + ) -> None: + self.name = name + self._custom_dir = custom_dir + _vars: dict[str, Any] = {'name': name, 'locale': 'en'} + self.__vars = _vars + + # MkDocs provided static templates are always included + package_dir = os.path.abspath(os.path.dirname(__file__)) + mkdocs_templates = os.path.join(package_dir, 'templates') + self.static_templates = set(os.listdir(mkdocs_templates)) + + # Build self.dirs from various sources in order of precedence + self.dirs = [] + + if custom_dir is not None: + self.dirs.append(custom_dir) + + if name: + self._load_theme_config(name) + + # Include templates provided directly by MkDocs (outside any theme) + self.dirs.append(mkdocs_templates) + + # Handle remaining user configs. Override theme configs (if set) + self.static_templates.update(static_templates) + _vars.update(user_config) + + # Validate locale and convert to Locale object + if locale is None: + locale = _vars['locale'] + _vars['locale'] = localization.parse_locale(locale) + + name: str | None + + @property + def locale(self) -> localization.Locale: + return self['locale'] + + @property + def custom_dir(self) -> str | None: + return self._custom_dir + + @property + def _vars(self) -> dict[str, Any]: + warnings.warn( + "Do not access Theme._vars, instead access the keys of Theme directly.", + DeprecationWarning, + ) + return self.__vars + + dirs: list[str] + + static_templates: set[str] + + def __repr__(self) -> str: + return "{}(name={!r}, dirs={!r}, static_templates={!r}, {})".format( + self.__class__.__name__, + self.name, + self.dirs, + self.static_templates, + ', '.join(f'{k}={v!r}' for k, v in self.items()), + ) + + def __getitem__(self, key: str) -> Any: + return self.__vars[key] + + def __setitem__(self, key: str, value): + self.__vars[key] = value + + def __delitem__(self, key: str): + del self.__vars[key] + + def __contains__(self, item: object) -> bool: + return item in self.__vars + + def __len__(self): + return len(self.__vars) + + def __iter__(self): + return iter(self.__vars) + + def _load_theme_config(self, name: str) -> None: + """Recursively load theme and any parent themes.""" + theme_dir = utils.get_theme_dir(name) + utils.get_themes.cache_clear() + self.dirs.append(theme_dir) + + try: + file_path = os.path.join(theme_dir, 'mkdocs_theme.yml') + with open(file_path, 'rb') as f: + theme_config = yaml.load(f, SafeLoader) + except OSError as e: + log.debug(e) + raise ValidationError( + f"The theme '{name}' does not appear to have a configuration file. " + f"Please upgrade to a current version of the theme." + ) + + if theme_config is None: + theme_config = {} + + log.debug(f"Loaded theme configuration for '{name}' from '{file_path}': {theme_config}") + + if parent_theme := theme_config.pop('extends', None): + themes = utils.get_theme_names() + if parent_theme not in themes: + raise ValidationError( + f"The theme '{name}' inherits from '{parent_theme}', which does not appear to be installed. " + f"The available installed themes are: {', '.join(themes)}" + ) + self._load_theme_config(parent_theme) + + self.static_templates.update(theme_config.pop('static_templates', [])) + self.__vars.update(theme_config) + + def get_env(self) -> jinja2.Environment: + """Return a Jinja environment for the theme.""" + loader = jinja2.FileSystemLoader(self.dirs) + # No autoreload because editing a template in the middle of a build is not useful. + env = jinja2.Environment(loader=loader, auto_reload=False) + env.filters['url'] = templates.url_filter + env.filters['script_tag'] = templates.script_tag_filter + localization.install_translations(env, self.locale, self.dirs) + return env diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/INSTALLER b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..f79e4cb9aaf0b2d9e8ba78861e2071317b2384b3 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/INSTALLER @@ -0,0 +1 @@ +conda \ No newline at end of file diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/METADATA b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..5ffa8eb7e26d2c26206bc56f08fbb2f6778460ec --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/METADATA @@ -0,0 +1,102 @@ +Metadata-Version: 2.4 +Name: mkdocs-get-deps +Version: 0.2.2 +Summary: An extra command for MkDocs that infers required PyPI packages from `plugins` in mkdocs.yml +Project-URL: Source, https://github.com/mkdocs/get-deps +Project-URL: Issues, https://github.com/mkdocs/get-deps/issues +Project-URL: History, https://github.com/mkdocs/get-deps/releases +Author-email: Oleh Prypin +License-Expression: MIT +License-File: LICENSE.md +Keywords: mkdocs +Classifier: Development Status :: 4 - Beta +Classifier: Environment :: Console +Classifier: Environment :: Web Environment +Classifier: Intended Audience :: Information Technology +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Programming Language :: Python :: 3.13 +Classifier: Topic :: Software Development :: Documentation +Classifier: Typing :: Typed +Requires-Python: >=3.9 +Requires-Dist: importlib-metadata>=4.3; python_version < '3.10' +Requires-Dist: mergedeep>=1.3.4 +Requires-Dist: platformdirs>=2.2.0 +Requires-Dist: pyyaml>=5.1 +Description-Content-Type: text/markdown + +# mkdocs-get-deps + +**An extra command for [MkDocs][] that infers required PyPI packages from `plugins` in mkdocs.yml.** + +[![PyPI](https://img.shields.io/pypi/v/mkdocs-get-deps)](https://pypi.org/project/mkdocs-get-deps/) +[![License](https://img.shields.io/github/license/mkdocs/get-deps)](https://github.com/mkdocs/get-deps/blob/master/LICENSE.md) +[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/mkdocs/get-deps/ci.yml.svg)](https://github.com/mkdocs/get-deps/actions?query=event%3Apush+branch%3Amaster) + + + + +
Installation:Alternatively through MkDocs itself:
+ +```bash +pip install mkdocs-get-deps +``` + + + +```bash +pip install mkdocs +``` + +
+ + +This command guesses the Python dependencies that a MkDocs site requires in order to build. It simply prints the PyPI packages that need to be installed. In the terminal it can be combined directly with a `pip install` command, as per the last example below: + + + + +
Usage:Alternatively through MkDocs itself:
+ +```bash +# Print dependencies of the current project +mkdocs-get-deps +# Save them into a file +mkdocs-get-deps > requirements.txt +# Install dependencies on the fly +pip install $(mkdocs-get-deps) +``` + + + +```bash + +mkdocs get-deps + +mkdocs get-deps > requirements.txt +pip install -r requirements.txt + +pip install $(mkdocs get-deps) +``` + +
+ +The idea is that right after running this command, you can directly follow it up with `mkdocs build` and it will almost always "just work", without needing to think which dependencies to install. + +The way it works is by scanning [`mkdocs.yml`] for `themes:`, `plugins:`, `markdown_extensions:` items and doing a reverse lookup based on a large list of known projects (catalog, see below). + +Of course, you're encouraged to use a "virtualenv" with such a command. Also note that for environments that require stability (for example CI) directly installing deps in this way is not a very reliable approach as it precludes dependency pinning. + +The command allows overriding which config file is used (instead of `mkdocs.yml` in the current directory) as well as which catalog of projects is used (instead of downloading it from the default location). See [`mkdocs get-deps --help`](https://www.mkdocs.org/user-guide/cli/#mkdocs-get-deps). + +## MkDocs' official catalog of plugins + +Check out and add all your general-purpose plugins, themes and extensions there, so that they can be looked up through `mkdocs get-deps`. + +[MkDocs]: https://www.mkdocs.org/ +[`mkdocs.yml`]: https://www.mkdocs.org/user-guide/configuration/ diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/RECORD b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..f38d0416925671e5f41a940c4faca317c23c5b49 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/RECORD @@ -0,0 +1,18 @@ +../../../bin/mkdocs-get-deps,sha256=-UMWICnHiA3ytEJErDe3yCUgjKBQmazVtEXOAYBcnD4,452 +mkdocs_get_deps-0.2.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +mkdocs_get_deps-0.2.2.dist-info/METADATA,sha256=eBGenkEXSMgZiBDoG59cWjDWsIJdyEFsHlt4EL2FSH4,4029 +mkdocs_get_deps-0.2.2.dist-info/RECORD,, +mkdocs_get_deps-0.2.2.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +mkdocs_get_deps-0.2.2.dist-info/WHEEL,sha256=QccIxa26bgl1E6uMy58deGWi-0aeIkkangHcxk2kWfw,87 +mkdocs_get_deps-0.2.2.dist-info/direct_url.json,sha256=D-B2VLC6AwQYQx1bPi6onJA-81R7QtRVzN76UOjXKA4,111 +mkdocs_get_deps-0.2.2.dist-info/entry_points.txt,sha256=R9haBy-7_n-3Cn7cqzWrG0TuFSvzCI1qjT9a55kthQE,65 +mkdocs_get_deps-0.2.2.dist-info/licenses/LICENSE.md,sha256=5QJLrptOyt2jUYTiAoKoHLJRZGINL_sCYebaMkmqt7I,1083 +mkdocs_get_deps/__init__.py,sha256=rsW-17VXwXiiBoXUhM_Z8K9dMS8uiO2jQvTopwCRlgc,7593 +mkdocs_get_deps/__main__.py,sha256=k0EbPma4RuP7Bw7Z7-EPzRVaN1VKibvON5pSXdYLaaA,1619 +mkdocs_get_deps/__pycache__/__init__.cpython-310.pyc,, +mkdocs_get_deps/__pycache__/__main__.cpython-310.pyc,, +mkdocs_get_deps/__pycache__/cache.cpython-310.pyc,, +mkdocs_get_deps/__pycache__/yaml_util.cpython-310.pyc,, +mkdocs_get_deps/cache.py,sha256=zTAmZc_ac9HZ6r7M_4mghwdUIEq6L-cIQPmE5qCRqKw,2467 +mkdocs_get_deps/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +mkdocs_get_deps/yaml_util.py,sha256=dM0ElWotYj6IJldla-AxoM5va8bUY-Um8lVtkbp-Z-0,1562 diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/REQUESTED b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/WHEEL b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..b1b94fd58e7e9ed0ef3449473bc48de68afcc3fe --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: hatchling 1.29.0 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/direct_url.json b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/direct_url.json new file mode 100644 index 0000000000000000000000000000000000000000..24ed1abbd6f72b3a46e940e136bbf9b059550f6a --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/direct_url.json @@ -0,0 +1 @@ +{"dir_info": {}, "url": "file:///home/conda/feedstock_root/build_artifacts/mkdocs-get-deps_1773570568227/work"} \ No newline at end of file diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/entry_points.txt b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..41662a4df7264dc10b3c73dea4c04d688e321854 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps-0.2.2.dist-info/entry_points.txt @@ -0,0 +1,2 @@ +[console_scripts] +mkdocs-get-deps = mkdocs_get_deps.__main__:cli diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps/__init__.py b/micromamba_root/Lib/site-packages/mkdocs_get_deps/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..79073eb6fc1e741f06fd4c3708378adfa8f7abae --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps/__init__.py @@ -0,0 +1,231 @@ +from __future__ import annotations + +__version__ = "0.2.2" + +import dataclasses +import datetime +import functools +import io +import logging +import os +import sys +import urllib.parse +from collections.abc import Collection, Mapping, Sequence +from typing import IO, Any, BinaryIO + +import yaml + +from . import cache, yaml_util + +log = logging.getLogger(f"mkdocs.{__name__}") + + +DEFAULT_PROJECTS_FILE = "https://raw.githubusercontent.com/mkdocs/catalog/main/projects.yaml" + +BUILTIN_THEMES = {"mkdocs", "readthedocs"} +BUILTIN_PLUGINS = {"search"} +_BUILTIN_EXTENSIONS = [ + "abbr", + "admonition", + "attr_list", + "codehilite", + "def_list", + "extra", + "fenced_code", + "footnotes", + "md_in_html", + "meta", + "nl2br", + "sane_lists", + "smarty", + "tables", + "toc", + "wikilinks", + "legacy_attrs", + "legacy_em", +] +BUILTIN_EXTENSIONS = { + *_BUILTIN_EXTENSIONS, + *(f"markdown.extensions.{e}" for e in _BUILTIN_EXTENSIONS), +} + +_NotFound = () + + +def _dig(cfg, keys: str): + """ + Receives a string such as 'foo.bar' and returns `cfg['foo']['bar']`, or `_NotFound`. + + A list of single-item dicts gets converted to a flat dict. This is intended for `plugins` config. + """ + key, _, rest = keys.partition(".") + try: + cfg = cfg[key] + except (KeyError, TypeError): + return _NotFound + if isinstance(cfg, list): + orig_cfg = cfg + cfg = {} + for item in reversed(orig_cfg): + if isinstance(item, dict) and len(item) == 1: + cfg.update(item) + elif isinstance(item, str): + cfg[item] = {} + if not rest: + return cfg + return _dig(cfg, rest) + + +def _strings(obj) -> Sequence[str]: + if isinstance(obj, str): + return (obj,) + else: + return tuple(obj) + + +@functools.cache +def _entry_points(group: str) -> Mapping[str, Any]: + if sys.version_info >= (3, 10): + from importlib.metadata import entry_points + else: + from importlib_metadata import entry_points + + eps = {ep.name: ep for ep in entry_points(group=group)} + log.debug(f"Available '{group}' entry points: {sorted(eps)}") + return eps + + +@dataclasses.dataclass(frozen=True) +class _PluginKind: + projects_key: str + entry_points_key: str + + def __str__(self) -> str: + return self.projects_key.rpartition("_")[-1] + + +def get_projects_file(path: str | None = None) -> BinaryIO: + if path is None: + path = DEFAULT_PROJECTS_FILE + if urllib.parse.urlsplit(path).scheme in ("http", "https"): + content = cache.download_and_cache_url(path, datetime.timedelta(days=1)) + else: + with open(path, "rb") as f: + content = f.read() + return io.BytesIO(content) + + +def get_deps( + config_file: IO | os.PathLike | str | None = None, + projects_file: IO | None = None, +) -> Collection[str]: + """ + Print PyPI package dependencies inferred from a mkdocs.yml file based on a reverse mapping of known projects. + + Args: + config_file: Non-default mkdocs.yml file - content as a buffer, or path. + projects_file: File/buffer that declares all known MkDocs-related projects. + The file is in YAML format and contains `projects: [{mkdocs_theme:, mkdocs_plugin:, markdown_extension:}] + """ + if config_file is None: + if os.path.isfile("mkdocs.yml"): + config_file = "mkdocs.yml" + elif os.path.isfile("mkdocs.yaml"): + config_file = "mkdocs.yaml" + else: + config_file = "mkdocs.yml" + opened_config_file: IO + if isinstance(config_file, (str, os.PathLike)): + config_file = os.path.abspath(config_file) + opened_config_file = open(config_file, "rb") + else: + opened_config_file = config_file + + log.debug(f"Loading configuration file: {config_file}") + with opened_config_file: + cfg = yaml_util.yaml_load(opened_config_file) + if not isinstance(cfg, dict): + raise ValueError( + f"The configuration is invalid. Expected a key-value mapping but received {type(cfg)}" + ) + + packages_to_install = set() + + if all(c not in cfg for c in ("site_name", "theme", "plugins", "markdown_extensions")): + log.warning(f"The file {config_file!r} doesn't seem to be a mkdocs.yml config file") + else: + if _dig(cfg, "theme.locale") not in (_NotFound, "en"): + packages_to_install.add("mkdocs[i18n]") + else: + packages_to_install.add("mkdocs") + + try: + theme = cfg["theme"]["name"] + except (KeyError, TypeError): + theme = cfg.get("theme") + themes = {theme} if theme else set() + + plugins = set(_strings(_dig(cfg, "plugins"))) + extensions = set(_strings(_dig(cfg, "markdown_extensions"))) + + wanted_plugins = ( + (_PluginKind("mkdocs_theme", "mkdocs.themes"), themes - BUILTIN_THEMES), + (_PluginKind("mkdocs_plugin", "mkdocs.plugins"), plugins - BUILTIN_PLUGINS), + (_PluginKind("markdown_extension", "markdown.extensions"), extensions - BUILTIN_EXTENSIONS), + ) + for kind, wanted in wanted_plugins: + log.debug(f"Wanted {kind}s: {sorted(wanted)}") + + if projects_file is None: + projects_file = get_projects_file() + with projects_file: + projects = yaml.load(projects_file, Loader=yaml_util.SafeLoader)["projects"] # noqa: S506 + + for project in projects: + for kind, wanted in wanted_plugins: + available = _strings(project.get(kind.projects_key, ())) + for entry_name in available: + if ( # Also check theme-namespaced plugin names against the current theme. + "/" in entry_name + and theme is not None + and kind.projects_key == "mkdocs_plugin" + and entry_name.startswith(f"{theme}/") + and entry_name[len(theme) + 1 :] in wanted + and entry_name not in wanted + ): + entry_name = entry_name[len(theme) + 1 :] + if entry_name in wanted: + if "pypi_id" in project: + install_name = project["pypi_id"] + elif "github_id" in project: + install_name = "git+https://github.com/{github_id}".format_map(project) + else: + log.error( + f"Can't find how to install {kind} '{entry_name}' although it was identified as {project}" + ) + continue + packages_to_install.add(install_name) + for extra_key, extra_pkgs in project.get("extra_dependencies", {}).items(): + if _dig(cfg, extra_key) is not _NotFound: + packages_to_install.update(_strings(extra_pkgs)) + + wanted.remove(entry_name) + + for kind, wanted in wanted_plugins: + for entry_name in sorted(wanted): + dist_name = None + ep = _entry_points(kind.entry_points_key).get(entry_name) + if ep is not None and ep.dist is not None: + dist_name = ep.dist.name + warning = ( + f"{str(kind).capitalize()} '{entry_name}' is not provided by any registered project" + ) + if ep is not None: + warning += " but is installed locally" + if dist_name: + warning += f" from '{dist_name}'" + log.info(warning) + else: + log.warning(warning) + + return sorted(packages_to_install) diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps/__main__.py b/micromamba_root/Lib/site-packages/mkdocs_get_deps/__main__.py new file mode 100644 index 0000000000000000000000000000000000000000..c3aa6cd40405b2a6f8452aea1f427c031b9e3da2 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps/__main__.py @@ -0,0 +1,61 @@ +from __future__ import annotations + +import argparse +import logging +import sys + +from . import get_deps, get_projects_file + +parser = argparse.ArgumentParser( + description="Show required PyPI packages inferred from plugins in mkdocs.yml." +) +parser.add_argument("-v", "--verbose", action="store_true", help="Enable verbose output") +parser.add_argument( + "-f", + "--config-file", + type=argparse.FileType("r"), + help="Provide a specific MkDocs config. This can be a file name, or '-' to read from stdin.", + default=None, +) +parser.add_argument( + "-p", + "--projects-file", + help="URL or local path of the registry file that declares all known MkDocs-related projects.", + default="https://raw.githubusercontent.com/mkdocs/catalog/main/projects.yaml", +) + + +class CountHandler(logging.NullHandler): + warning_count = 0 + + def handle(self, record): + rv = self.filter(record) + if rv: + self.warning_count += 1 + return rv + + +def cli(): + args = parser.parse_args() + + logging.basicConfig( + level=logging.DEBUG if args.verbose else logging.INFO, + format="%(levelname)s - mkdocs-get-deps: %(message)s", + ) + + warning_counter = CountHandler() + warning_counter.setLevel(logging.WARNING) + logging.getLogger("mkdocs").addHandler(warning_counter) + + with get_projects_file(args.projects_file) as projects_file: + deps = get_deps(config_file=args.config_file, projects_file=projects_file) + + for dep in deps: + print(dep) # noqa: T201 + + if warning_counter.warning_count: + sys.exit(1) + + +if __name__ == "__main__": + cli() diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps/cache.py b/micromamba_root/Lib/site-packages/mkdocs_get_deps/cache.py new file mode 100644 index 0000000000000000000000000000000000000000..97278650728d05dd17002dab10978fbdee60d8b6 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps/cache.py @@ -0,0 +1,70 @@ +from __future__ import annotations + +import datetime +import hashlib +import logging +import os +import random +import urllib.request +from typing import Callable + +import platformdirs + +from . import __version__ + +log = logging.getLogger(f"mkdocs.{__name__}") + + +def _download_url(url: str) -> bytes: + req = urllib.request.Request(url, headers={"User-Agent": f"mkdocs-get-deps/{__version__}"}) + with urllib.request.urlopen(req) as resp: + return resp.read() + + +def download_and_cache_url( + url: str, + cache_duration: datetime.timedelta, + *, + download: Callable[[str], bytes] = _download_url, + comment: bytes = b"# ", +) -> bytes: + """Downloads a file from the URL, stores it under ~/.cache/, and returns its content. + + For tracking the age of the content, a prefix is inserted into the stored file, rather than relying on mtime. + + Args: + url: URL to use. + download: Callback that will accept the URL and actually perform the download. + cache_duration: How long to consider the URL content cached. + comment: The appropriate comment prefix for this file format. + """ + directory = os.path.join(platformdirs.user_cache_dir("mkdocs"), "mkdocs_url_cache") + name_hash = hashlib.sha256(url.encode()).hexdigest()[:32] + path = os.path.join(directory, name_hash + os.path.splitext(url)[1]) + + now = int(datetime.datetime.now(datetime.timezone.utc).timestamp()) + prefix = b"%s%s downloaded at timestamp " % (comment, url.encode()) + # Check for cached file and try to return it + if os.path.isfile(path): + try: + with open(path, "rb") as f: + line = f.readline() + if line.startswith(prefix): + line = line[len(prefix) :] + timestamp = int(line) + if datetime.timedelta(seconds=(now - timestamp)) <= cache_duration: + log.debug(f"Using cached '{path}' for '{url}'") + return f.read() + except (OSError, ValueError) as e: + log.debug(f"{type(e).__name__}: {e}") + + # Download and cache the file + log.debug(f"Downloading '{url}' to '{path}'") + content = download(url) + os.makedirs(directory, exist_ok=True) + temp_filename = f"{path}.{random.randrange(1 << 32):08x}.part" + with open(temp_filename, "wb") as f: + f.write(b"%s%d\n" % (prefix, now)) + f.write(content) + os.replace(temp_filename, path) + return content diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps/py.typed b/micromamba_root/Lib/site-packages/mkdocs_get_deps/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/micromamba_root/Lib/site-packages/mkdocs_get_deps/yaml_util.py b/micromamba_root/Lib/site-packages/mkdocs_get_deps/yaml_util.py new file mode 100644 index 0000000000000000000000000000000000000000..3df31b5187fbe5a50e052bcff82933a589270383 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_get_deps/yaml_util.py @@ -0,0 +1,50 @@ +from __future__ import annotations + +import logging +import os +import os.path +from typing import IO, Any + +import mergedeep # type: ignore[import-untyped] +import yaml + +try: + from yaml import CSafeLoader as SafeLoader +except ImportError: + from yaml import SafeLoader # type: ignore[assignment] + +log = logging.getLogger(f"mkdocs.{__name__}") + + +class YamlLoader(SafeLoader): + pass + + +# Prevent errors from trying to access external modules which may not be installed yet. +YamlLoader.add_constructor("!ENV", lambda loader, node: None) +YamlLoader.add_constructor("!relative", lambda loader, node: None) +YamlLoader.add_multi_constructor( + "tag:yaml.org,2002:python/name:", lambda loader, suffix, node: None +) +YamlLoader.add_multi_constructor( + "tag:yaml.org,2002:python/object/apply:", lambda loader, suffix, node: None +) + + +def yaml_load(source: IO | str) -> dict[str, Any]: + """Return dict of source YAML file using loader, recursively deep merging inherited parent.""" + result = yaml.load(source, Loader=YamlLoader) # noqa: S506 + if result is None: + return {} + if ( + "INHERIT" in result + and not isinstance(source, str) + and getattr(source, "name", None) is not None + ): + relpath = result.pop("INHERIT") + abspath = os.path.normpath(os.path.join(os.path.dirname(source.name), relpath)) + log.debug(f"Loading inherited configuration file: {abspath}") + with open(abspath, "rb") as f: + parent = yaml_load(f) + result = mergedeep.merge(parent, result) + return result diff --git a/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/INSTALLER b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a34a7e56db35cc4c85bfa166244b3d63a6a240d4 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/INSTALLER @@ -0,0 +1 @@ +conda diff --git a/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/METADATA b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..6738c54caee97351559db34451c8964b633e4309 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/METADATA @@ -0,0 +1,412 @@ +Metadata-Version: 2.4 +Name: mkdocs-material +Version: 9.7.6 +Summary: Documentation that simply works +Project-URL: Documentation, https://squidfunk.github.io/mkdocs-material/ +Project-URL: Source, https://github.com/squidfunk/mkdocs-material +Project-URL: Changelog, https://squidfunk.github.io/mkdocs-material/changelog/ +Project-URL: Issues, https://github.com/squidfunk/mkdocs-material/issues +Author-email: Martin Donath +License-Expression: MIT +License-File: LICENSE +Keywords: documentation,mkdocs,theme +Classifier: Development Status :: 5 - Production/Stable +Classifier: Environment :: Web Environment +Classifier: Framework :: MkDocs +Classifier: License :: OSI Approved :: MIT License +Classifier: Programming Language :: JavaScript +Classifier: Programming Language :: Python +Classifier: Topic :: Documentation +Classifier: Topic :: Software Development :: Documentation +Classifier: Topic :: Text Processing :: Markup :: HTML +Requires-Python: >=3.8 +Requires-Dist: babel>=2.10 +Requires-Dist: backrefs>=5.7.post1 +Requires-Dist: colorama>=0.4 +Requires-Dist: jinja2>=3.1 +Requires-Dist: markdown>=3.2 +Requires-Dist: mkdocs-material-extensions>=1.3 +Requires-Dist: mkdocs<2,>=1.6 +Requires-Dist: paginate>=0.5 +Requires-Dist: pygments>=2.16 +Requires-Dist: pymdown-extensions>=10.2 +Requires-Dist: requests>=2.30 +Provides-Extra: git +Requires-Dist: mkdocs-git-committers-plugin-2>=1.1; extra == 'git' +Requires-Dist: mkdocs-git-revision-date-localized-plugin>=1.2.4; extra == 'git' +Provides-Extra: imaging +Requires-Dist: cairosvg>=2.6; extra == 'imaging' +Requires-Dist: pillow>=10.2; extra == 'imaging' +Provides-Extra: recommended +Requires-Dist: mkdocs-minify-plugin>=0.7; extra == 'recommended' +Requires-Dist: mkdocs-redirects>=1.2; extra == 'recommended' +Requires-Dist: mkdocs-rss-plugin>=1.6; extra == 'recommended' +Description-Content-Type: text/markdown + +

+ + Material for MkDocs + +

+ +

+ + A powerful documentation framework on top of + MkDocs + +

+ +

+ Build + Downloads + Python Package Index + Docker Pulls +

+ +

+ Write your documentation in Markdown and create a professional static site for + your Open Source or commercial project in minutes – searchable, customizable, + more than 60 languages, for all devices. +

+ +

+ + + +

+ +

+ + Check out the demo – + squidfunk.github.io/mkdocs-material. + +

+ +

+

 

+

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+ + + + + +

+

 

+

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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+

 

+ +## Everything you would expect + +### It's just Markdown + +Focus on the content of your documentation and create a professional static site +in minutes. No need to know HTML, CSS or JavaScript – let Material for MkDocs do +the heavy lifting for you. + +### Works on all devices + +Serve your documentation with confidence – Material for MkDocs automatically +adapts to perfectly fit the available screen estate, no matter the type or size +of the viewing device. Desktop. Tablet. Mobile. All great. + +### Made to measure + +Make it yours – change the colors, fonts, language, icons, logo, and more with +a few lines of configuration. Material for MkDocs can be easily extended and +provides many options to alter appearance and behavior. + +### Fast and lightweight + +Don't let your users wait – get incredible value with a small footprint by using +one of the fastest themes available with excellent performance, yielding optimal +search engine rankings and happy users that return. + +### Maintain ownership + +Own your documentation's complete sources and outputs, guaranteeing both +integrity and security – no need to entrust the backbone of your product +knowledge to third-party platforms. Retain full control. + +### Open Source + +You're in good company – choose a mature and actively maintained solution built +with state-of-the-art Open Source technologies, trusted by more than 50,000 +individuals and organizations. Licensed under MIT. + +## Quick start + +Material for MkDocs can be installed with `pip`: + +``` sh +pip install mkdocs-material +``` + +Add the following lines to `mkdocs.yml`: + +``` yaml +theme: + name: material +``` + +For detailed installation instructions, configuration options, and a demo, visit +[squidfunk.github.io/mkdocs-material][Material for MkDocs] + + [Material for MkDocs]: https://squidfunk.github.io/mkdocs-material/ + +## Trusted by ... + +### ... industry leaders + +[ArXiv](https://info.arxiv.org), +[Atlassian](https://atlassian.github.io/data-center-helm-charts/), +[AWS](https://aws.github.io/copilot-cli/), +[Bloomberg](https://bloomberg.github.io/selekt/), +[CERN](http://abpcomputing.web.cern.ch/), +[Datadog](https://datadoghq.dev/integrations-core/), +[Google](https://google.github.io/accompanist/), +[Harvard](https://informatics.fas.harvard.edu/), +[Hewlett Packard](https://hewlettpackard.github.io/squest/), +[HSBC](https://hsbc.github.io/pyratings/), +[ING](https://ing-bank.github.io/baker/), +[Intel](https://open-amt-cloud-toolkit.github.io/docs/), +[JetBrains](https://jetbrains.github.io/projector-client/mkdocs/), +[LinkedIn](https://linkedin.github.io/school-of-sre/), +[Microsoft](https://microsoft.github.io/code-with-engineering-playbook/), +[Mozilla](https://mozillafoundation.github.io/engineering-handbook/), +[Netflix](https://netflix.github.io/titus/), +[OpenAI](https://openai.github.io/openai-agents-python/), +[Red Hat](https://ansible.readthedocs.io/projects/lint/), +[Roboflow](https://inference.roboflow.com/), +[Salesforce](https://policy-sentry.readthedocs.io/), +[SIEMENS](https://opensource.siemens.com/), +[Slack](https://slackhq.github.io/circuit/), +[Square](https://square.github.io/okhttp/), +[Uber](https://uber-go.github.io/fx/), +[Zalando](https://opensource.zalando.com/skipper/) + +### ... and successful Open Source projects + +[Amp](https://amp.rs/docs/), +[Apache Iceberg](https://iceberg.apache.org/), +[Arduino](https://arduino.github.io/arduino-cli/), +[Asahi Linux](https://asahilinux.org/docs/), +[Auto-GPT](https://docs.agpt.co/), +[AutoKeras](https://autokeras.com/), +[BFE](https://www.bfe-networks.net/), +[CentOS](https://docs.infra.centos.org/), +[Crystal](https://crystal-lang.org/reference/), +[eBPF](https://ebpf-go.dev/), +[ejabberd](https://docs.ejabberd.im/), +[Electron](https://www.electron.build/), +[FastAPI](https://fastapi.tiangolo.com/), +[FlatBuffers](https://flatbuffers.dev/), +[{fmt}](https://fmt.dev/), +[Freqtrade](https://www.freqtrade.io/en/stable/), +[GoReleaser](https://goreleaser.com/), +[GraphRAG](https://microsoft.github.io/graphrag/), +[Headscale](https://headscale.net/), +[HedgeDoc](https://docs.hedgedoc.org/), +[Hummingbot](https://hummingbot.org/), +[Knative](https://knative.dev/docs/), +[Kubernetes](https://kops.sigs.k8s.io/), +[kSQL](https://docs.ksqldb.io/), +[LeakCanary](https://square.github.io/leakcanary/), +[LlamaIndex](https://docs.llamaindex.ai/), +[NetBox](https://netboxlabs.com/docs/netbox/en/stable/), +[Nokogiri](https://nokogiri.org/), +[OpenAI](https://openai.github.io/openai-agents-python/), +[OpenFaaS](https://docs.openfaas.com/), +[OpenSSL](https://docs.openssl.org/), +[Orchard Core](https://docs.orchardcore.net/en/latest/), +[Percona](https://docs.percona.com/percona-monitoring-and-management/), +[Pi-Hole](https://docs.pi-hole.net/), +[Polars](https://docs.pola.rs/), +[Pydantic](https://pydantic-docs.helpmanual.io/), +[PyPI](https://docs.pypi.org/), +[Quivr](https://core.quivr.com/), +[Renovate](https://docs.renovatebot.com/), +[RetroPie](https://retropie.org.uk/docs/), +[Ruff](https://docs.astral.sh/ruff/), +[Supervision](https://supervision.roboflow.com/latest/), +[Textual](https://textual.textualize.io/), +[Traefik](https://docs.traefik.io/), +[Trivy](https://aquasecurity.github.io/trivy/), +[Typer](https://typer.tiangolo.com/), +[tinygrad](https://docs.tinygrad.org/), +[Ultralytics](https://docs.ultralytics.com/), +[UV](https://docs.astral.sh/uv/), +[Vapor](https://docs.vapor.codes/), +[WebKit](https://docs.webkit.org/), +[WTF](https://wtfutil.com/), +[ZeroNet](https://zeronet.io/docs/) + +## License + +**MIT License** + +Copyright (c) 2016-2025 Martin Donath + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to +deal in the Software without restriction, including without limitation the +rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +sell copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +IN THE SOFTWARE. diff --git a/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/RECORD b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..9d757e43bdcc0757cd18dd744e4838afa8fbf125 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/RECORD @@ -0,0 +1,14668 @@ +material/__init__.py,sha256=HCnPvo4s6r7pwol4YCtbM0xXEro-302KwXK3OI573rM,1148 +material/__pycache__/__init__.cpython-310.pyc,, +material/extensions/__init__.py,sha256=_NS9GIFXATjqf3gcsA_2GzFk-3UcOHStz4P7gFV0IIA,1125 +material/extensions/__pycache__/__init__.cpython-310.pyc,, +material/extensions/__pycache__/emoji.cpython-310.pyc,, 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"file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_mkdocs-material_1774620149/work"} \ No newline at end of file diff --git a/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/entry_points.txt b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..96514867e0caf2f21f15fd8a806a1624fdda002a --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material-9.7.6.dist-info/entry_points.txt @@ -0,0 +1,16 @@ +[mkdocs.plugins] +material/blog = material.plugins.blog.plugin:BlogPlugin +material/group = material.plugins.group.plugin:GroupPlugin +material/info = material.plugins.info.plugin:InfoPlugin +material/meta = material.plugins.meta.plugin:MetaPlugin +material/offline = material.plugins.offline.plugin:OfflinePlugin +material/optimize = material.plugins.optimize.plugin:OptimizePlugin +material/privacy = material.plugins.privacy.plugin:PrivacyPlugin +material/projects = material.plugins.projects.plugin:ProjectsPlugin +material/search = material.plugins.search.plugin:SearchPlugin +material/social = material.plugins.social.plugin:SocialPlugin +material/tags = material.plugins.tags.plugin:TagsPlugin +material/typeset = material.plugins.typeset.plugin:TypesetPlugin + +[mkdocs.themes] +material = material.templates diff --git a/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/INSTALLER b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..f79e4cb9aaf0b2d9e8ba78861e2071317b2384b3 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/INSTALLER @@ -0,0 +1 @@ +conda \ No newline at end of file diff --git a/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/METADATA b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..89ddc9e026340a3a68cb8867090f9eb091ca5289 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/METADATA @@ -0,0 +1,140 @@ +Metadata-Version: 2.4 +Name: mkdocs-material-extensions +Version: 1.3.1 +Dynamic: Requires-Dist +Summary: Extension pack for Python Markdown and MkDocs Material. +Project-URL: Homepage, https://github.com/facelessuser/mkdocs-material-extensions +Author-email: Isaac Muse +License-Expression: MIT +License-File: LICENSE.md +Keywords: extensions,markdown +Classifier: Development Status :: 5 - Production/Stable +Classifier: Environment :: Console +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: MIT License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.8 +Classifier: Programming Language :: Python :: 3.9 +Classifier: Programming Language :: Python :: 3.10 +Classifier: Programming Language :: Python :: 3.11 +Classifier: Programming Language :: Python :: 3.12 +Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content +Classifier: Topic :: Software Development :: Libraries :: Python Modules +Classifier: Topic :: Text Processing :: Filters +Classifier: Topic :: Text Processing :: Markup :: HTML +Requires-Python: >=3.8 +Description-Content-Type: text/markdown + +[![Donate via PayPal][donate-image]][donate-link] +[![Build][github-ci-image]][github-ci-link] +[![Coverage Status][codecov-image]][codecov-link] +[![PyPI Version][pypi-image]][pypi-link] +[![PyPI - Python Version][python-image]][pypi-link] +![License][license-image-mit] +# MkDocs Material Extensions + +> NOTE: This project is now deprecated as MkDocs for Material now implements this logic directly. +> Users should migrate to using `mkdocs-material`'s `material.extensions.emoji.twemoji` and +> `material.extensions.emoji.to_svg` in place of the respective `materialx.emoji.twemoji` and `materialx.emoji.to_svg` +> functions provided by this library. + +Markdown extension resources for [MkDocs for Material][mkdocs-material] + +## Install + +Generally, just installing MkDocs Material will automatically install `mkdocs-material-extensions`. But if you had a +need to manually install it, you can use pip. + +``` +pip install mkdocs-material-extensions +``` + +But make sure you've also installed MkDocs Material as well as this won't work without it. + +``` +pip install mkdocs-material +``` + +## Inline SVG Icons + +MkDocs Material provides numerous icons from Material, FontAwesome, and Octicons, but it does so by inlining the SVG +icons into the source. Currently there is no easy way access these icons and arbitrarily insert them into Markdown +content. Users must include the icon fonts themselves and do it with HTML. + +This module allows you to use PyMdown Extensions' [Emoji][emoji] extension to enable easy insertion of MkDocs Material's +SVG assets using simple `:emoji-syntax:`. This is done by creating our own [emoji index][emoji-index] and +[emoji generator][emoji-generator]. The custom index provides a modified version of the Emoji extensions Twemoji +index. + +In addition to the custom index, you must also specify the associated custom generator. This will will find the +appropriate icon and insert it into your Markdown content as an inlined SVG. + +Example: + +```yaml +markdown_extensions: + - pymdownx.emoji: + emoji_index: !!python/name:materialx.emoji.twemoji + emoji_generator: !!python/name:materialx.emoji.to_svg +``` + +Then, using the folder structure of Material's `.icons` folder, you can specify icons: + +``` +We can use Material Icons :material-airplane:. + +We can also use Fontawesome Icons :fontawesome-solid-ambulance:. + +That's not all, we can also use Octicons :octicons-octoface:. +``` + +## Using Local Custom Icons + +In MkDocs, you can override theme assets locally, and even add assets to the theme. Unfortunately, the Markdown parsing +process isn't aware of the MkDocs environment. Luckily, if you are using PyMdown Extensions 7.1, you can pass in custom +icon paths that will be used when constructing the emoji index and include your custom SVG assets. If a folder path of +`theme/my_icons` was given to the index builder, all icons under `my_project/my_icons`, even in sub-folders, would +become part of the index. + +```yaml +markdown_extensions: + - pymdownx.emoji: + emoji_index: !!python/name:materialx.emoji.twemoji + emoji_generator: !!python/name:materialx.emoji.to_svg + options: + custom_icons: + - theme/my_icons +``` + +If given an icon at `my_project/my_icons/animals/bird.svg`, the icon would be available using the emoji syntax as +`:animals-bird:`. Notice that the base folder that is provided doesn't contribute to the icon's name. Also, folders +are separated with `-`. Folder names and icon names should be compatible with the emoji syntax, so special characters +should be avoided -- `-` and `_` are okay. + +You can provide as many paths as you would like, and they will be evaluated in the order that they are specified. The +Material theme's own icons will be evaluated after all custom paths. This allows a user to override Material's icons if +desired. + +If an icon name is already in the index, the icon will not be added. It is recommended to always have your icons in +sub-folders to help namespace them to avoid name collisions. In the example above, `bird` was under `animals` which +created the name `:animals-bird:` and helped create a more unique name with less of a chance of creating a duplicate +name with existing emoji and Material icons. + +[emoji]: https://facelessuser.github.io/pymdown-extensions/extensions/emoji/ +[emoji-index]: https://facelessuser.github.io/pymdown-extensions/extensions/emoji/#custom-emoji-indexes +[emoji-generator]: https://facelessuser.github.io/pymdown-extensions/extensions/emoji/#custom-emoji-generators +[mkdocs-material]: https://github.com/squidfunk/mkdocs-material + +[donate-image]: https://img.shields.io/badge/Donate-PayPal-3fabd1?logo=paypal +[donate-link]: https://www.paypal.me/facelessuser +[github-ci-image]: https://github.com/facelessuser/mkdocs-material-extensions/workflows/build/badge.svg?branch=master&event=push +[github-ci-link]: https://github.com/facelessuser/mkdocs-material-extensions/actions?query=workflow%3Abuild+branch%3Amaster +[discord-image]: https://img.shields.io/discord/678289859768745989?logo=discord&logoColor=aaaaaa&color=mediumpurple&labelColor=333333 +[discord-link]: https://discord.gg/TWs8Tgr +[codecov-image]: https://img.shields.io/codecov/c/github/facelessuser/mkdocs-material-extensions/master.svg?logo=codecov&logoColor=aaaaaa&labelColor=333333 +[codecov-link]: https://codecov.io/github/facelessuser/mkdocs-material-extensions +[pypi-image]: https://img.shields.io/pypi/v/mkdocs-material-extensions.svg?logo=pypi&logoColor=aaaaaa&labelColor=333333 +[pypi-link]: https://pypi.python.org/pypi/mkdocs-material-extensions +[python-image]: https://img.shields.io/pypi/pyversions/mkdocs-material-extensions?logo=python&logoColor=aaaaaa&labelColor=333333 +[license-image-mit]: https://img.shields.io/badge/license-MIT-blue.svg?labelColor=333333 diff --git a/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/RECORD b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/RECORD new 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b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/WHEEL @@ -0,0 +1,4 @@ +Wheel-Version: 1.0 +Generator: hatchling 1.27.0 +Root-Is-Purelib: true +Tag: py3-none-any diff --git a/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/direct_url.json b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/direct_url.json new file mode 100644 index 0000000000000000000000000000000000000000..db06644992b8335bec9a5d8bfe09bb6485c7d4f6 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mkdocs_material_extensions-1.3.1.dist-info/direct_url.json @@ -0,0 +1 @@ +{"dir_info": {}, "url": "file:///home/conda/feedstock_root/build_artifacts/mkdocs-material-extensions_1734640982920/work"} \ No newline at end of file diff --git a/micromamba_root/Lib/site-packages/mypy/api.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/api.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..7034aed0466621cbbd45f79e6410deb6fe380eb7 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/api.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/api.py b/micromamba_root/Lib/site-packages/mypy/api.py new file mode 100644 index 0000000000000000000000000000000000000000..90ef985491da5350bad0735c6807836c29edc410 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/api.py @@ -0,0 +1,95 @@ +"""This module makes it possible to use mypy as part of a Python application. + +Since mypy still changes, the API was kept utterly simple and non-intrusive. +It just mimics command line activation without starting a new interpreter. +So the normal docs about the mypy command line apply. +Changes in the command line version of mypy will be immediately usable. + +Just import this module and then call the 'run' function with a parameter of +type List[str], containing what normally would have been the command line +arguments to mypy. + +Function 'run' returns a Tuple[str, str, int], namely +(, , ), +in which is what mypy normally writes to sys.stdout, + is what mypy normally writes to sys.stderr and exit_status is +the exit status mypy normally returns to the operating system. + +Any pretty formatting is left to the caller. + +The 'run_dmypy' function is similar, but instead mimics invocation of +dmypy. Note that run_dmypy is not thread-safe and modifies sys.stdout +and sys.stderr during its invocation. + +Note that these APIs don't support incremental generation of error +messages. + +Trivial example of code using this module: + +import sys +from mypy import api + +result = api.run(sys.argv[1:]) + +if result[0]: + print('\nType checking report:\n') + print(result[0]) # stdout + +if result[1]: + print('\nError report:\n') + print(result[1]) # stderr + +print('\nExit status:', result[2]) + +""" + +from __future__ import annotations + +import sys +from collections.abc import Callable +from io import StringIO +from typing import TextIO + + +def _run(main_wrapper: Callable[[TextIO, TextIO], None]) -> tuple[str, str, int]: + stdout = StringIO() + stderr = StringIO() + + try: + main_wrapper(stdout, stderr) + exit_status = 0 + except SystemExit as system_exit: + assert isinstance(system_exit.code, int) + exit_status = system_exit.code + + return stdout.getvalue(), stderr.getvalue(), exit_status + + +def run(args: list[str]) -> tuple[str, str, int]: + # Lazy import to avoid needing to import all of mypy to call run_dmypy + from mypy.main import main + + return _run( + lambda stdout, stderr: main(args=args, stdout=stdout, stderr=stderr, clean_exit=True) + ) + + +def run_dmypy(args: list[str]) -> tuple[str, str, int]: + from mypy.dmypy.client import main + + # A bunch of effort has been put into threading stdout and stderr + # through the main API to avoid the threadsafety problems of + # modifying sys.stdout/sys.stderr, but that hasn't been done for + # the dmypy client, so we just do the non-threadsafe thing. + def f(stdout: TextIO, stderr: TextIO) -> None: + old_stdout = sys.stdout + old_stderr = sys.stderr + try: + sys.stdout = stdout + sys.stderr = stderr + main(args) + finally: + sys.stdout = old_stdout + sys.stderr = old_stderr + + return _run(f) diff --git a/micromamba_root/Lib/site-packages/mypy/applytype.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/applytype.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..6791199321fe0e7469ab17f6f3a1984843ff8ccc Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/applytype.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/applytype.py b/micromamba_root/Lib/site-packages/mypy/applytype.py new file mode 100644 index 0000000000000000000000000000000000000000..c8003795ba0b1fd0197406cb7d72591e59cb3236 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/applytype.py @@ -0,0 +1,303 @@ +from __future__ import annotations + +from collections.abc import Callable, Iterable, Sequence + +import mypy.subtypes +from mypy.erasetype import erase_typevars +from mypy.expandtype import expand_type +from mypy.nodes import Context, TypeInfo +from mypy.type_visitor import TypeTranslator +from mypy.typeops import get_all_type_vars +from mypy.types import ( + AnyType, + CallableType, + Instance, + Parameters, + ParamSpecFlavor, + ParamSpecType, + PartialType, + ProperType, + Type, + TypeAliasType, + TypeVarId, + TypeVarLikeType, + TypeVarTupleType, + TypeVarType, + UninhabitedType, + UnpackType, + get_proper_type, + remove_dups, +) + + +def get_target_type( + tvar: TypeVarLikeType, + type: Type, + callable: CallableType, + report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None], + context: Context, + skip_unsatisfied: bool, +) -> Type | None: + p_type = get_proper_type(type) + if isinstance(p_type, UninhabitedType) and tvar.has_default(): + return tvar.default + if isinstance(tvar, ParamSpecType): + return type + if isinstance(tvar, TypeVarTupleType): + return type + assert isinstance(tvar, TypeVarType) + values = tvar.values + if values: + if isinstance(p_type, AnyType): + return type + if isinstance(p_type, TypeVarType) and p_type.values: + # Allow substituting T1 for T if every allowed value of T1 + # is also a legal value of T. + if all(any(mypy.subtypes.is_same_type(v, v1) for v in values) for v1 in p_type.values): + return type + matching = [] + for value in values: + if mypy.subtypes.is_subtype(type, value): + matching.append(value) + if matching: + best = matching[0] + # If there are more than one matching value, we select the narrowest + for match in matching[1:]: + if mypy.subtypes.is_subtype(match, best): + best = match + return best + if skip_unsatisfied: + return None + report_incompatible_typevar_value(callable, type, tvar.name, context) + else: + upper_bound = tvar.upper_bound + if tvar.name == "Self": + # Internally constructed Self-types contain class type variables in upper bound, + # so we need to erase them to avoid false positives. This is safe because we do + # not support type variables in upper bounds of user defined types. + upper_bound = erase_typevars(upper_bound) + if not mypy.subtypes.is_subtype(type, upper_bound): + if skip_unsatisfied: + return None + report_incompatible_typevar_value(callable, type, tvar.name, context) + return type + + +def apply_generic_arguments( + callable: CallableType, + orig_types: Sequence[Type | None], + report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None], + context: Context, + skip_unsatisfied: bool = False, +) -> CallableType: + """Apply generic type arguments to a callable type. + + For example, applying [int] to 'def [T] (T) -> T' results in + 'def (int) -> int'. + + Note that each type can be None; in this case, it will not be applied. + + If `skip_unsatisfied` is True, then just skip the types that don't satisfy type variable + bound or constraints, instead of giving an error. + """ + tvars = callable.variables + assert len(orig_types) <= len(tvars) + # Check that inferred type variable values are compatible with allowed + # values and bounds. Also, promote subtype values to allowed values. + # Create a map from type variable id to target type. + id_to_type: dict[TypeVarId, Type] = {} + + for tvar, type in zip(tvars, orig_types): + assert not isinstance(type, PartialType), "Internal error: must never apply partial type" + if type is None: + continue + + target_type = get_target_type( + tvar, type, callable, report_incompatible_typevar_value, context, skip_unsatisfied + ) + if target_type is not None: + id_to_type[tvar.id] = target_type + + # TODO: validate arg_kinds/arg_names for ParamSpec and TypeVarTuple replacements, + # not just type variable bounds above. + param_spec = callable.param_spec() + if param_spec is not None: + nt = id_to_type.get(param_spec.id) + if nt is not None: + # ParamSpec expansion is special-cased, so we need to always expand callable + # as a whole, not expanding arguments individually. + callable = expand_type(callable, id_to_type) + assert isinstance(callable, CallableType) + return callable.copy_modified( + variables=[tv for tv in tvars if tv.id not in id_to_type] + ) + + # Apply arguments to argument types. + var_arg = callable.var_arg() + if var_arg is not None and isinstance(var_arg.typ, UnpackType): + # Same as for ParamSpec, callable with variadic types needs to be expanded as a whole. + callable = expand_type(callable, id_to_type) + assert isinstance(callable, CallableType) + return callable.copy_modified(variables=[tv for tv in tvars if tv.id not in id_to_type]) + else: + callable = callable.copy_modified( + arg_types=[expand_type(at, id_to_type) for at in callable.arg_types] + ) + + # Apply arguments to TypeGuard and TypeIs if any. + if callable.type_guard is not None: + type_guard = expand_type(callable.type_guard, id_to_type) + else: + type_guard = None + if callable.type_is is not None: + type_is = expand_type(callable.type_is, id_to_type) + else: + type_is = None + + # The callable may retain some type vars if only some were applied. + # TODO: move apply_poly() logic here when new inference + # becomes universally used (i.e. in all passes + in unification). + # With this new logic we can actually *add* some new free variables. + remaining_tvars: list[TypeVarLikeType] = [] + for tv in tvars: + if tv.id in id_to_type: + continue + if not tv.has_default(): + remaining_tvars.append(tv) + continue + # TypeVarLike isn't in id_to_type mapping. + # Only expand the TypeVar default here. + typ = expand_type(tv, id_to_type) + assert isinstance(typ, TypeVarLikeType) + remaining_tvars.append(typ) + + return callable.copy_modified( + ret_type=expand_type(callable.ret_type, id_to_type), + variables=remaining_tvars, + type_guard=type_guard, + type_is=type_is, + ) + + +def apply_poly(tp: CallableType, poly_tvars: Sequence[TypeVarLikeType]) -> CallableType | None: + """Make free type variables generic in the type if possible. + + This will translate the type `tp` while trying to create valid bindings for + type variables `poly_tvars` while traversing the type. This follows the same rules + as we do during semantic analysis phase, examples: + * Callable[Callable[[T], T], T] -> def [T] (def (T) -> T) -> T + * Callable[[], Callable[[T], T]] -> def () -> def [T] (T -> T) + * List[T] -> None (not possible) + """ + try: + return tp.copy_modified( + arg_types=[t.accept(PolyTranslator(poly_tvars)) for t in tp.arg_types], + ret_type=tp.ret_type.accept(PolyTranslator(poly_tvars)), + variables=[], + ) + except PolyTranslationError: + return None + + +class PolyTranslationError(Exception): + pass + + +class PolyTranslator(TypeTranslator): + """Make free type variables generic in the type if possible. + + See docstring for apply_poly() for details. + """ + + def __init__( + self, + poly_tvars: Iterable[TypeVarLikeType], + bound_tvars: frozenset[TypeVarLikeType] = frozenset(), + seen_aliases: frozenset[TypeInfo] = frozenset(), + ) -> None: + super().__init__() + self.poly_tvars = set(poly_tvars) + # This is a simplified version of TypeVarScope used during semantic analysis. + self.bound_tvars = bound_tvars + self.seen_aliases = seen_aliases + + def collect_vars(self, t: CallableType | Parameters) -> list[TypeVarLikeType]: + found_vars = [] + for arg in t.arg_types: + for tv in get_all_type_vars(arg): + if isinstance(tv, ParamSpecType): + normalized: TypeVarLikeType = tv.copy_modified( + flavor=ParamSpecFlavor.BARE, prefix=Parameters([], [], []) + ) + else: + normalized = tv + if normalized in self.poly_tvars and normalized not in self.bound_tvars: + found_vars.append(normalized) + return remove_dups(found_vars) + + def visit_callable_type(self, t: CallableType) -> Type: + found_vars = self.collect_vars(t) + self.bound_tvars |= set(found_vars) + result = super().visit_callable_type(t) + self.bound_tvars -= set(found_vars) + + assert isinstance(result, ProperType) and isinstance(result, CallableType) + result.variables = result.variables + tuple(found_vars) + return result + + def visit_type_var(self, t: TypeVarType) -> Type: + if t in self.poly_tvars and t not in self.bound_tvars: + raise PolyTranslationError() + return super().visit_type_var(t) + + def visit_param_spec(self, t: ParamSpecType) -> Type: + if t in self.poly_tvars and t not in self.bound_tvars: + raise PolyTranslationError() + return super().visit_param_spec(t) + + def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: + if t in self.poly_tvars and t not in self.bound_tvars: + raise PolyTranslationError() + return super().visit_type_var_tuple(t) + + def visit_type_alias_type(self, t: TypeAliasType) -> Type: + if not t.args: + return t.copy_modified() + if not t.is_recursive: + return get_proper_type(t).accept(self) + # We can't handle polymorphic application for recursive generic aliases + # without risking an infinite recursion, just give up for now. + raise PolyTranslationError() + + def visit_instance(self, t: Instance) -> Type: + if t.type.has_param_spec_type: + # We need this special-casing to preserve the possibility to store a + # generic function in an instance type. Things like + # forall T . Foo[[x: T], T] + # are not really expressible in current type system, but this looks like + # a useful feature, so let's keep it. + param_spec_index = next( + i for (i, tv) in enumerate(t.type.defn.type_vars) if isinstance(tv, ParamSpecType) + ) + p = get_proper_type(t.args[param_spec_index]) + if isinstance(p, Parameters): + found_vars = self.collect_vars(p) + self.bound_tvars |= set(found_vars) + new_args = [a.accept(self) for a in t.args] + self.bound_tvars -= set(found_vars) + + repl = new_args[param_spec_index] + assert isinstance(repl, ProperType) and isinstance(repl, Parameters) + repl.variables = list(repl.variables) + list(found_vars) + return t.copy_modified(args=new_args) + # There is the same problem with callback protocols as with aliases + # (callback protocols are essentially more flexible aliases to callables). + if t.args and t.type.is_protocol and t.type.protocol_members == ["__call__"]: + if t.type in self.seen_aliases: + raise PolyTranslationError() + call = mypy.subtypes.find_member("__call__", t, t, is_operator=True) + assert call is not None + return call.accept( + PolyTranslator(self.poly_tvars, self.bound_tvars, self.seen_aliases | {t.type}) + ) + return super().visit_instance(t) diff --git a/micromamba_root/Lib/site-packages/mypy/argmap.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/argmap.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..7b3448b6ecb62ada60d93968efb688e0b8c6dcb3 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/argmap.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/argmap.py b/micromamba_root/Lib/site-packages/mypy/argmap.py new file mode 100644 index 0000000000000000000000000000000000000000..c30f6bd43f13fce35148c320fba0ca6f040ba4d1 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/argmap.py @@ -0,0 +1,269 @@ +"""Utilities for mapping between actual and formal arguments (and their types).""" + +from __future__ import annotations + +from collections.abc import Callable, Sequence +from typing import TYPE_CHECKING + +from mypy import nodes +from mypy.maptype import map_instance_to_supertype +from mypy.types import ( + AnyType, + Instance, + ParamSpecType, + TupleType, + Type, + TypedDictType, + TypeOfAny, + TypeVarTupleType, + UnpackType, + get_proper_type, +) + +if TYPE_CHECKING: + from mypy.infer import ArgumentInferContext + + +def map_actuals_to_formals( + actual_kinds: list[nodes.ArgKind], + actual_names: Sequence[str | None] | None, + formal_kinds: list[nodes.ArgKind], + formal_names: Sequence[str | None], + actual_arg_type: Callable[[int], Type], +) -> list[list[int]]: + """Calculate mapping between actual (caller) args and formals. + + The result contains a list of caller argument indexes mapping to each + callee argument index, indexed by callee index. + + The actual_arg_type argument should evaluate to the type of the actual + argument with the given index. + """ + nformals = len(formal_kinds) + formal_to_actual: list[list[int]] = [[] for i in range(nformals)] + ambiguous_actual_kwargs: list[int] = [] + fi = 0 + for ai, actual_kind in enumerate(actual_kinds): + if actual_kind == nodes.ARG_POS: + if fi < nformals: + if not formal_kinds[fi].is_star(): + formal_to_actual[fi].append(ai) + fi += 1 + elif formal_kinds[fi] == nodes.ARG_STAR: + formal_to_actual[fi].append(ai) + elif actual_kind == nodes.ARG_STAR: + # We need to know the actual type to map varargs. + actualt = get_proper_type(actual_arg_type(ai)) + if isinstance(actualt, TupleType): + # A tuple actual maps to a fixed number of formals. + for _ in range(len(actualt.items)): + if fi < nformals: + if formal_kinds[fi] != nodes.ARG_STAR2: + formal_to_actual[fi].append(ai) + else: + break + if formal_kinds[fi] != nodes.ARG_STAR: + fi += 1 + else: + # Assume that it is an iterable (if it isn't, there will be + # an error later). + while fi < nformals: + if formal_kinds[fi].is_named(star=True): + break + else: + formal_to_actual[fi].append(ai) + if formal_kinds[fi] == nodes.ARG_STAR: + break + fi += 1 + elif actual_kind.is_named(): + assert actual_names is not None, "Internal error: named kinds without names given" + name = actual_names[ai] + if name in formal_names and formal_kinds[formal_names.index(name)] != nodes.ARG_STAR: + formal_to_actual[formal_names.index(name)].append(ai) + elif nodes.ARG_STAR2 in formal_kinds: + formal_to_actual[formal_kinds.index(nodes.ARG_STAR2)].append(ai) + else: + assert actual_kind == nodes.ARG_STAR2 + actualt = get_proper_type(actual_arg_type(ai)) + if isinstance(actualt, TypedDictType): + for name in actualt.items: + if name in formal_names: + formal_to_actual[formal_names.index(name)].append(ai) + elif nodes.ARG_STAR2 in formal_kinds: + formal_to_actual[formal_kinds.index(nodes.ARG_STAR2)].append(ai) + else: + # We don't exactly know which **kwargs are provided by the + # caller, so we'll defer until all the other unambiguous + # actuals have been processed + ambiguous_actual_kwargs.append(ai) + + if ambiguous_actual_kwargs: + # Assume the ambiguous kwargs will fill the remaining arguments. + # + # TODO: If there are also tuple varargs, we might be missing some potential + # matches if the tuple was short enough to not match everything. + unmatched_formals = [ + fi + for fi in range(nformals) + if ( + formal_names[fi] + and ( + not formal_to_actual[fi] + or actual_kinds[formal_to_actual[fi][0]] == nodes.ARG_STAR + ) + and formal_kinds[fi] != nodes.ARG_STAR + ) + or formal_kinds[fi] == nodes.ARG_STAR2 + ] + for ai in ambiguous_actual_kwargs: + for fi in unmatched_formals: + formal_to_actual[fi].append(ai) + + return formal_to_actual + + +def map_formals_to_actuals( + actual_kinds: list[nodes.ArgKind], + actual_names: Sequence[str | None] | None, + formal_kinds: list[nodes.ArgKind], + formal_names: list[str | None], + actual_arg_type: Callable[[int], Type], +) -> list[list[int]]: + """Calculate the reverse mapping of map_actuals_to_formals.""" + formal_to_actual = map_actuals_to_formals( + actual_kinds, actual_names, formal_kinds, formal_names, actual_arg_type + ) + # Now reverse the mapping. + actual_to_formal: list[list[int]] = [[] for _ in actual_kinds] + for formal, actuals in enumerate(formal_to_actual): + for actual in actuals: + actual_to_formal[actual].append(formal) + return actual_to_formal + + +class ArgTypeExpander: + """Utility class for mapping actual argument types to formal arguments. + + One of the main responsibilities is to expand caller tuple *args and TypedDict + **kwargs, and to keep track of which tuple/TypedDict items have already been + consumed. + + Example: + + def f(x: int, *args: str) -> None: ... + f(*(1, 'x', 1.1)) + + We'd call expand_actual_type three times: + + 1. The first call would provide 'int' as the actual type of 'x' (from '1'). + 2. The second call would provide 'str' as one of the actual types for '*args'. + 2. The third call would provide 'float' as one of the actual types for '*args'. + + A single instance can process all the arguments for a single call. Each call + needs a separate instance since instances have per-call state. + """ + + def __init__(self, context: ArgumentInferContext) -> None: + # Next tuple *args index to use. + self.tuple_index = 0 + # Keyword arguments in TypedDict **kwargs used. + self.kwargs_used: set[str] | None = None + # Type context for `*` and `**` arg kinds. + self.context = context + + def expand_actual_type( + self, + actual_type: Type, + actual_kind: nodes.ArgKind, + formal_name: str | None, + formal_kind: nodes.ArgKind, + allow_unpack: bool = False, + ) -> Type: + """Return the actual (caller) type(s) of a formal argument with the given kinds. + + If the actual argument is a tuple *args, return the next individual tuple item that + maps to the formal arg. + + If the actual argument is a TypedDict **kwargs, return the next matching typed dict + value type based on formal argument name and kind. + + This is supposed to be called for each formal, in order. Call multiple times per + formal if multiple actuals map to a formal. + """ + original_actual = actual_type + actual_type = get_proper_type(actual_type) + if actual_kind == nodes.ARG_STAR: + if isinstance(actual_type, TypeVarTupleType): + # This code path is hit when *Ts is passed to a callable and various + # special-handling didn't catch this. The best thing we can do is to use + # the upper bound. + actual_type = get_proper_type(actual_type.upper_bound) + if isinstance(actual_type, Instance) and actual_type.args: + from mypy.subtypes import is_subtype + + if is_subtype(actual_type, self.context.iterable_type): + return map_instance_to_supertype( + actual_type, self.context.iterable_type.type + ).args[0] + else: + # We cannot properly unpack anything other + # than `Iterable` type with `*`. + # Just return `Any`, other parts of code would raise + # a different error for improper use. + return AnyType(TypeOfAny.from_error) + elif isinstance(actual_type, TupleType): + # Get the next tuple item of a tuple *arg. + if self.tuple_index >= len(actual_type.items): + # Exhausted a tuple -- continue to the next *args. + self.tuple_index = 1 + else: + self.tuple_index += 1 + item = actual_type.items[self.tuple_index - 1] + if isinstance(item, UnpackType) and not allow_unpack: + # An unpack item that doesn't have special handling, use upper bound as above. + unpacked = get_proper_type(item.type) + if isinstance(unpacked, TypeVarTupleType): + fallback = get_proper_type(unpacked.upper_bound) + else: + fallback = unpacked + assert ( + isinstance(fallback, Instance) + and fallback.type.fullname == "builtins.tuple" + ) + item = fallback.args[0] + return item + elif isinstance(actual_type, ParamSpecType): + # ParamSpec is valid in *args but it can't be unpacked. + return actual_type + else: + return AnyType(TypeOfAny.from_error) + elif actual_kind == nodes.ARG_STAR2: + from mypy.subtypes import is_subtype + + if isinstance(actual_type, TypedDictType): + if self.kwargs_used is None: + self.kwargs_used = set() + if formal_kind != nodes.ARG_STAR2 and formal_name in actual_type.items: + # Lookup type based on keyword argument name. + assert formal_name is not None + else: + # Pick an arbitrary item if no specified keyword is expected. + formal_name = (set(actual_type.items.keys()) - self.kwargs_used).pop() + self.kwargs_used.add(formal_name) + return actual_type.items[formal_name] + elif isinstance(actual_type, Instance) and is_subtype( + actual_type, self.context.mapping_type + ): + # Only `Mapping` type can be unpacked with `**`. + # Other types will produce an error somewhere else. + return map_instance_to_supertype(actual_type, self.context.mapping_type.type).args[ + 1 + ] + elif isinstance(actual_type, ParamSpecType): + # ParamSpec is valid in **kwargs but it can't be unpacked. + return actual_type + else: + return AnyType(TypeOfAny.from_error) + else: + # No translation for other kinds -- 1:1 mapping. + return original_actual diff --git a/micromamba_root/Lib/site-packages/mypy/binder.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/binder.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..ae812e46c6eb8c62e34b624bca5b0d4ab780899c Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/binder.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/binder.py b/micromamba_root/Lib/site-packages/mypy/binder.py new file mode 100644 index 0000000000000000000000000000000000000000..adcc812badc914c6fb91adfff28a4fd6e4143b3e --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/binder.py @@ -0,0 +1,709 @@ +from __future__ import annotations + +from collections import defaultdict +from collections.abc import Iterator +from contextlib import contextmanager +from typing import Literal, NamedTuple, TypeAlias as _TypeAlias + +from mypy.erasetype import remove_instance_last_known_values +from mypy.literals import Key, extract_var_from_literal_hash, literal, literal_hash, subkeys +from mypy.nodes import ( + LITERAL_NO, + Expression, + IndexExpr, + MemberExpr, + NameExpr, + RefExpr, + TypeInfo, + Var, +) +from mypy.options import Options +from mypy.subtypes import is_same_type, is_subtype +from mypy.typeops import make_simplified_union +from mypy.types import ( + AnyType, + Instance, + NoneType, + PartialType, + ProperType, + TupleType, + Type, + TypeOfAny, + TypeType, + TypeVarType, + UnionType, + UnpackType, + find_unpack_in_list, + flatten_nested_unions, + get_proper_type, +) +from mypy.typevars import fill_typevars_with_any + +BindableExpression: _TypeAlias = IndexExpr | MemberExpr | NameExpr + + +class CurrentType(NamedTuple): + type: Type + from_assignment: bool + + +class Frame: + """A Frame represents a specific point in the execution of a program. + + It carries information about the current types of expressions at + that point, arising either from assignments to those expressions + or the result of isinstance checks and other type narrowing + operations. It also records whether it is possible to reach that + point at all. + + We add a new frame wherenever there is a new scope or control flow + branching. + + This information is not copied into a new Frame when it is pushed + onto the stack, so a given Frame only has information about types + that were assigned in that frame. + + Expressions are stored in dicts using 'literal hashes' as keys (type + "Key"). These are hashable values derived from expression AST nodes + (only those that can be narrowed). literal_hash(expr) is used to + calculate the hashes. Note that this isn't directly related to literal + types -- the concept predates literal types. + """ + + def __init__(self, id: int, conditional_frame: bool = False) -> None: + self.id = id + self.types: dict[Key, CurrentType] = {} + self.unreachable = False + self.conditional_frame = conditional_frame + self.suppress_unreachable_warnings = False + + def __repr__(self) -> str: + return f"Frame({self.id}, {self.types}, {self.unreachable}, {self.conditional_frame})" + + +Assigns = defaultdict[Expression, list[tuple[Type, Type | None]]] + + +class FrameContext: + """Context manager pushing a Frame to ConditionalTypeBinder. + + See frame_context() below for documentation on parameters. We use this class + instead of @contextmanager as a mypyc-specific performance optimization. + """ + + def __init__( + self, + binder: ConditionalTypeBinder, + can_skip: bool, + fall_through: int, + break_frame: int, + continue_frame: int, + conditional_frame: bool, + try_frame: bool, + discard: bool, + ) -> None: + self.binder = binder + self.can_skip = can_skip + self.fall_through = fall_through + self.break_frame = break_frame + self.continue_frame = continue_frame + self.conditional_frame = conditional_frame + self.try_frame = try_frame + self.discard = discard + + def __enter__(self) -> Frame: + assert len(self.binder.frames) > 1 + + if self.break_frame: + self.binder.break_frames.append(len(self.binder.frames) - self.break_frame) + if self.continue_frame: + self.binder.continue_frames.append(len(self.binder.frames) - self.continue_frame) + if self.try_frame: + self.binder.try_frames.add(len(self.binder.frames) - 1) + + new_frame = self.binder.push_frame(self.conditional_frame) + if self.try_frame: + # An exception may occur immediately + self.binder.allow_jump(-1) + return new_frame + + def __exit__(self, exc_type: object, exc_val: object, exc_tb: object) -> Literal[False]: + self.binder.pop_frame(self.can_skip, self.fall_through, discard=self.discard) + + if self.break_frame: + self.binder.break_frames.pop() + if self.continue_frame: + self.binder.continue_frames.pop() + if self.try_frame: + self.binder.try_frames.remove(len(self.binder.frames) - 1) + return False + + +class ConditionalTypeBinder: + """Keep track of conditional types of variables. + + NB: Variables are tracked by literal hashes of expressions, so it is + possible to confuse the binder when there is aliasing. Example: + + class A: + a: int | str + + x = A() + lst = [x] + reveal_type(x.a) # int | str + x.a = 1 + reveal_type(x.a) # int + reveal_type(lst[0].a) # int | str + lst[0].a = 'a' + reveal_type(x.a) # int + reveal_type(lst[0].a) # str + """ + + # Stored assignments for situations with tuple/list lvalue and rvalue of union type. + # This maps an expression to a list of bound types for every item in the union type. + type_assignments: Assigns | None = None + + def __init__(self, options: Options) -> None: + # Each frame gets an increasing, distinct id. + self.next_id = 1 + + # The stack of frames currently used. These map + # literal_hash(expr) -- literals like 'foo.bar' -- + # to types. The last element of this list is the + # top-most, current frame. Each earlier element + # records the state as of when that frame was last + # on top of the stack. + self.frames = [Frame(self._get_id())] + + # For frames higher in the stack, we record the set of + # Frames that can escape there, either by falling off + # the end of the frame or by a loop control construct + # or raised exception. The last element of self.frames + # has no corresponding element in this list. + self.options_on_return: list[list[Frame]] = [] + + # Maps literal_hash(expr) to get_declaration(expr) + # for every expr stored in the binder + self.declarations: dict[Key, Type | None] = {} + # Set of other keys to invalidate if a key is changed, e.g. x -> {x.a, x[0]} + # Whenever a new key (e.g. x.a.b) is added, we update this + self.dependencies: dict[Key, set[Key]] = {} + + # Whether the last pop changed the newly top frame on exit + self.last_pop_changed = False + + # These are used to track control flow in try statements and loops. + self.try_frames: set[int] = set() + self.break_frames: list[int] = [] + self.continue_frames: list[int] = [] + + # If True, initial assignment to a simple variable (e.g. "x", but not "x.y") + # is added to the binder. This allows more precise narrowing and more + # flexible inference of variable types (--allow-redefinition-new). + self.bind_all = options.allow_redefinition_new + + # This tracks any externally visible changes in binder to invalidate + # expression caches when needed. + self.version = 0 + + def _get_id(self) -> int: + self.next_id += 1 + return self.next_id + + def _add_dependencies(self, key: Key, value: Key | None = None) -> None: + if value is None: + value = key + else: + self.dependencies.setdefault(key, set()).add(value) + for elt in subkeys(key): + self._add_dependencies(elt, value) + + def push_frame(self, conditional_frame: bool = False) -> Frame: + """Push a new frame into the binder.""" + f = Frame(self._get_id(), conditional_frame) + self.frames.append(f) + self.options_on_return.append([]) + return f + + def _put(self, key: Key, type: Type, from_assignment: bool, index: int = -1) -> None: + self.version += 1 + self.frames[index].types[key] = CurrentType(type, from_assignment) + + def _get(self, key: Key, index: int = -1) -> CurrentType | None: + if index < 0: + index += len(self.frames) + for i in range(index, -1, -1): + if key in self.frames[i].types: + return self.frames[i].types[key] + return None + + @classmethod + def can_put_directly(cls, expr: Expression) -> bool: + """Will `.put()` on this expression be successful? + + This is inlined in `.put()` because the logic is rather hot and must be kept + in sync. + """ + return isinstance(expr, (IndexExpr, MemberExpr, NameExpr)) and literal(expr) > LITERAL_NO + + def put(self, expr: Expression, typ: Type, *, from_assignment: bool = True) -> None: + """Directly set the narrowed type of expression (if it supports it). + + This is used for isinstance() etc. Assignments should go through assign_type(). + """ + if not isinstance(expr, (IndexExpr, MemberExpr, NameExpr)): + return + if not literal(expr): + return + key = literal_hash(expr) + assert key is not None, "Internal error: binder tried to put non-literal" + if key not in self.declarations: + self.declarations[key] = get_declaration(expr) + self._add_dependencies(key) + self._put(key, typ, from_assignment) + + def unreachable(self) -> None: + self.version += 1 + self.frames[-1].unreachable = True + + def suppress_unreachable_warnings(self) -> None: + self.frames[-1].suppress_unreachable_warnings = True + + def get(self, expr: Expression) -> Type | None: + key = literal_hash(expr) + assert key is not None, "Internal error: binder tried to get non-literal" + found = self._get(key) + if found is None: + return None + return found.type + + def is_unreachable(self) -> bool: + # TODO: Copy the value of unreachable into new frames to avoid + # this traversal on every statement? + return any(f.unreachable for f in self.frames) + + def is_unreachable_warning_suppressed(self) -> bool: + return any(f.suppress_unreachable_warnings for f in self.frames) + + def cleanse(self, expr: Expression) -> None: + """Remove all references to a Node from the binder.""" + key = literal_hash(expr) + assert key is not None, "Internal error: binder tried cleanse non-literal" + self._cleanse_key(key) + + def _cleanse_key(self, key: Key) -> None: + """Remove all references to a key from the binder.""" + for frame in self.frames: + if key in frame.types: + del frame.types[key] + + def update_from_options(self, frames: list[Frame]) -> bool: + """Update the frame to reflect that each key will be updated + as in one of the frames. Return whether any item changes. + + If a key is declared as AnyType, only update it if all the + options are the same. + """ + all_reachable = all(not f.unreachable for f in frames) + if not all_reachable: + frames = [f for f in frames if not f.unreachable] + changed = False + keys = [key for f in frames for key in f.types] + if len(keys) > 1: + keys = list(set(keys)) + for key in keys: + current_value = self._get(key) + resulting_values = [f.types.get(key, current_value) for f in frames] + # Keys can be narrowed using two different semantics. The new semantics + # is enabled for inferred variables when bind_all is true, and it allows + # variable types to be widened using subsequent assignments. This is + # not allowed for instance attributes and annotated variables. + var = extract_var_from_literal_hash(key) + old_semantics = ( + not self.bind_all or var is None or not var.is_inferred and not var.is_argument + ) + if old_semantics and any(x is None for x in resulting_values): + # We didn't know anything about key before + # (current_value must be None), and we still don't + # know anything about key in at least one possible frame. + continue + + resulting_values = [x for x in resulting_values if x is not None] + + if all_reachable and all(not x.from_assignment for x in resulting_values): + # Do not synthesize a new type if we encountered a conditional block + # (if, while or match-case) without assignments. + # See check-isinstance.test::testNoneCheckDoesNotMakeTypeVarOptional + # This is a safe assumption: the fact that we checked something with `is` + # or `isinstance` does not change the type of the value. + continue + + # Remove exact duplicates to save pointless work later, this is + # a micro-optimization for --allow-redefinition-new. + seen_types = set() + resulting_types = [] + for rv in resulting_values: + assert rv is not None + if rv.type in seen_types: + continue + resulting_types.append(rv.type) + seen_types.add(rv.type) + + type = resulting_types[0] + declaration_type = get_proper_type(self.declarations.get(key)) + if isinstance(declaration_type, AnyType): + # At this point resulting values can't contain None, see continue above + if not all(is_same_type(type, t) for t in resulting_types[1:]): + type = AnyType(TypeOfAny.from_another_any, source_any=declaration_type) + else: + possible_types = [] + for t in resulting_types: + assert t is not None + possible_types.append(t) + if len(possible_types) == 1: + # This is to avoid calling get_proper_type() unless needed, as this may + # interfere with our (hacky) TypeGuard support. + type = possible_types[0] + else: + type = make_simplified_union(possible_types) + # Legacy guard for corner case when the original type is TypeVarType. + if isinstance(declaration_type, TypeVarType) and not is_subtype( + type, declaration_type + ): + type = declaration_type + # Try simplifying resulting type for unions involving variadic tuples. + # Technically, everything is still valid without this step, but if we do + # not do this, this may create long unions after exiting an if check like: + # x: tuple[int, ...] + # if len(x) < 10: + # ... + # We want the type of x to be tuple[int, ...] after this block (if it is + # still equivalent to such type). + if isinstance(type, UnionType): + type = collapse_variadic_union(type) + if ( + old_semantics + and isinstance(type, ProperType) + and isinstance(type, UnionType) + ): + # Simplify away any extra Any's that were added to the declared + # type when popping a frame. + simplified = UnionType.make_union( + [t for t in type.items if not isinstance(get_proper_type(t), AnyType)] + ) + if simplified == self.declarations[key]: + type = simplified + if ( + current_value is None + or not is_same_type(type, current_value.type) + # Manually carry over any narrowing from hasattr() from inner frames. This is + # a bit ad-hoc, but our handling of hasattr() is on best effort basis anyway. + or isinstance(p_type := get_proper_type(type), Instance) + and p_type.extra_attrs + ): + self._put(key, type, from_assignment=True) + if current_value is not None or extract_var_from_literal_hash(key) is None: + # We definitely learned something new + changed = True + elif not changed: + # If there is no current value compare with the declaration. This prevents + # reporting false changes in cases like this: + # x: int + # if foo(): + # x = 1 + # else: + # x = 2 + # We check partial types and widening in accept_loop() separately, so + # this should be safe. + changed = declaration_type is not None and not is_same_type( + type, declaration_type + ) + + self.frames[-1].unreachable = not frames + + return changed + + def pop_frame(self, can_skip: bool, fall_through: int, *, discard: bool = False) -> Frame: + """Pop a frame and return it. + + See frame_context() for documentation of fall_through and discard. + """ + + if fall_through > 0: + self.allow_jump(-fall_through) + + result = self.frames.pop() + options = self.options_on_return.pop() + + if discard: + self.last_pop_changed = False + return result + + if can_skip: + options.insert(0, self.frames[-1]) + + self.last_pop_changed = self.update_from_options(options) + + return result + + @contextmanager + def accumulate_type_assignments(self) -> Iterator[Assigns]: + """Push a new map to collect assigned types in multiassign from union. + + If this map is not None, actual binding is deferred until all items in + the union are processed (a union of collected items is later bound + manually by the caller). + """ + old_assignments = None + if self.type_assignments is not None: + old_assignments = self.type_assignments + self.type_assignments = defaultdict(list) + yield self.type_assignments + self.type_assignments = old_assignments + + def assign_type(self, expr: Expression, type: Type, declared_type: Type | None) -> None: + """Narrow type of expression through an assignment. + + Do nothing if the expression doesn't support narrowing. + + When not narrowing though an assignment (isinstance() etc.), use put() + directly. This omits some special-casing logic for assignments. + """ + # We should erase last known value in binder, because if we are using it, + # it means that the target is not final, and therefore can't hold a literal. + type = remove_instance_last_known_values(type) + + if self.type_assignments is not None: + # We are in a multiassign from union, defer the actual binding, + # just collect the types. + self.type_assignments[expr].append((type, declared_type)) + return + if not isinstance(expr, (IndexExpr, MemberExpr, NameExpr)): + return + if not literal(expr): + return + self.invalidate_dependencies(expr) + + if declared_type is None: + # Not sure why this happens. It seems to mainly happen in + # member initialization. + return + if not is_subtype(type, declared_type): + # Pretty sure this is only happens when there's a type error. + + # Ideally this function wouldn't be called if the + # expression has a type error, though -- do other kinds of + # errors cause this function to get called at invalid + # times? + return + + p_declared = get_proper_type(declared_type) + p_type = get_proper_type(type) + if isinstance(p_type, AnyType): + # Any type requires some special casing, for both historical reasons, + # and to optimise user experience without sacrificing correctness too much. + if isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_inferred: + # First case: a local/global variable without explicit annotation, + # in this case we just assign Any (essentially following the SSA logic). + self.put(expr, type) + elif isinstance(p_declared, UnionType): + all_items = flatten_nested_unions(p_declared.items) + if any(isinstance(get_proper_type(item), NoneType) for item in all_items): + # Second case: explicit optional type, in this case we optimize for + # a common pattern when an untyped value used as a fallback replacing None. + new_items = [ + type if isinstance(get_proper_type(item), NoneType) else item + for item in all_items + ] + self.put(expr, UnionType(new_items)) + elif any(isinstance(get_proper_type(item), AnyType) for item in all_items): + # Third case: a union already containing Any (most likely from + # an un-imported name), in this case we allow assigning Any as well. + self.put(expr, type) + else: + # In all other cases we don't narrow to Any to minimize false negatives. + self.put(expr, declared_type) + else: + self.put(expr, declared_type) + elif isinstance(p_declared, AnyType): + # Mirroring the first case above, we don't narrow to a precise type if the variable + # has an explicit `Any` type annotation. + if isinstance(expr, RefExpr) and isinstance(expr.node, Var) and expr.node.is_inferred: + self.put(expr, type) + else: + self.put(expr, declared_type) + else: + self.put(expr, type) + + for i in self.try_frames: + # XXX This should probably not copy the entire frame, but + # just copy this variable into a single stored frame. + self.allow_jump(i) + + def invalidate_dependencies(self, expr: BindableExpression) -> None: + """Invalidate knowledge of types that include expr, but not expr itself. + + For example, when expr is foo.bar, invalidate foo.bar.baz. + + It is overly conservative: it invalidates globally, including + in code paths unreachable from here. + """ + key = literal_hash(expr) + assert key is not None + for dep in self.dependencies.get(key, set()): + self._cleanse_key(dep) + + def allow_jump(self, index: int) -> None: + # self.frames and self.options_on_return have different lengths + # so make sure the index is positive + if index < 0: + index += len(self.options_on_return) + frame = Frame(self._get_id()) + for f in self.frames[index + 1 :]: + frame.types.update(f.types) + if f.unreachable: + frame.unreachable = True + self.options_on_return[index].append(frame) + + def handle_break(self) -> None: + self.allow_jump(self.break_frames[-1]) + self.unreachable() + + def handle_continue(self) -> None: + self.allow_jump(self.continue_frames[-1]) + self.unreachable() + + def frame_context( + self, + *, + can_skip: bool, + fall_through: int = 1, + break_frame: int = 0, + continue_frame: int = 0, + conditional_frame: bool = False, + try_frame: bool = False, + discard: bool = False, + ) -> FrameContext: + """Return a context manager that pushes/pops frames on enter/exit. + + If can_skip is True, control flow is allowed to bypass the + newly-created frame. + + If fall_through > 0, then it will allow control flow that + falls off the end of the frame to escape to its ancestor + `fall_through` levels higher. Otherwise, control flow ends + at the end of the frame. + + If break_frame > 0, then 'break' statements within this frame + will jump out to the frame break_frame levels higher than the + frame created by this call to frame_context. Similarly, for + continue_frame and 'continue' statements. + + If try_frame is true, then execution is allowed to jump at any + point within the newly created frame (or its descendants) to + its parent (i.e., to the frame that was on top before this + call to frame_context). + + If discard is True, then this is a temporary throw-away frame + (used e.g. for isolation) and its effect will be discarded on pop. + + After the context manager exits, self.last_pop_changed indicates + whether any types changed in the newly-topmost frame as a result + of popping this frame. + """ + return FrameContext( + self, + can_skip=can_skip, + fall_through=fall_through, + break_frame=break_frame, + continue_frame=continue_frame, + conditional_frame=conditional_frame, + try_frame=try_frame, + discard=discard, + ) + + @contextmanager + def top_frame_context(self) -> Iterator[Frame]: + """A variant of frame_context for use at the top level of + a namespace (module, function, or class). + """ + assert len(self.frames) == 1 + yield self.push_frame() + self.pop_frame(True, 0) + assert len(self.frames) == 1 + + +def get_declaration(expr: BindableExpression) -> Type | None: + """Get the declared or inferred type of a RefExpr expression. + + Return None if there is no type or the expression is not a RefExpr. + This can return None if the type hasn't been inferred yet. + """ + if isinstance(expr, RefExpr): + if isinstance(expr.node, Var): + type = expr.node.type + if not isinstance(get_proper_type(type), PartialType): + return type + elif isinstance(expr.node, TypeInfo): + return TypeType(fill_typevars_with_any(expr.node)) + return None + + +def collapse_variadic_union(typ: UnionType) -> Type: + """Simplify a union involving variadic tuple if possible. + + This will collapse a type like e.g. + tuple[X, Z] | tuple[X, Y, Z] | tuple[X, Y, Y, *tuple[Y, ...], Z] + back to + tuple[X, *tuple[Y, ...], Z] + which is equivalent, but much simpler form of the same type. + """ + tuple_items = [] + other_items = [] + for t in typ.items: + p_t = get_proper_type(t) + if isinstance(p_t, TupleType): + tuple_items.append(p_t) + else: + other_items.append(t) + if len(tuple_items) <= 1: + # This type cannot be simplified further. + return typ + tuple_items = sorted(tuple_items, key=lambda t: len(t.items)) + first = tuple_items[0] + last = tuple_items[-1] + unpack_index = find_unpack_in_list(last.items) + if unpack_index is None: + return typ + unpack = last.items[unpack_index] + assert isinstance(unpack, UnpackType) + unpacked = get_proper_type(unpack.type) + if not isinstance(unpacked, Instance): + return typ + assert unpacked.type.fullname == "builtins.tuple" + suffix = last.items[unpack_index + 1 :] + + # Check that first item matches the expected pattern and infer prefix. + if len(first.items) < len(suffix): + return typ + if suffix and first.items[-len(suffix) :] != suffix: + return typ + if suffix: + prefix = first.items[: -len(suffix)] + else: + prefix = first.items + + # Check that all middle types match the expected pattern as well. + arg = unpacked.args[0] + for i, it in enumerate(tuple_items[1:-1]): + if it.items != prefix + [arg] * (i + 1) + suffix: + return typ + + # Check the last item (the one with unpack), and choose an appropriate simplified type. + if last.items != prefix + [arg] * (len(typ.items) - 1) + [unpack] + suffix: + return typ + if len(first.items) == 0: + simplified: Type = unpacked.copy_modified() + else: + simplified = TupleType(prefix + [unpack] + suffix, fallback=last.partial_fallback) + return UnionType.make_union([simplified] + other_items) diff --git a/micromamba_root/Lib/site-packages/mypy/bogus_type.py b/micromamba_root/Lib/site-packages/mypy/bogus_type.py new file mode 100644 index 0000000000000000000000000000000000000000..1a61abac9732d1eab673061c10d8118c34281b28 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/bogus_type.py @@ -0,0 +1,27 @@ +"""A Bogus[T] type alias for marking when we subvert the type system + +We need this for compiling with mypyc, which inserts runtime +typechecks that cause problems when we subvert the type system. So +when compiling with mypyc, we turn those places into Any, while +keeping the types around for normal typechecks. + +Since this causes the runtime types to be Any, this is best used +in places where efficient access to properties is not important. +For those cases some other technique should be used. +""" + +from __future__ import annotations + +from typing import Any, TypeVar + +from mypy_extensions import FlexibleAlias + +T = TypeVar("T") + +# This won't ever be true at runtime, but we consider it true during +# mypyc compilations. +MYPYC = False +if MYPYC: + Bogus = FlexibleAlias[T, Any] +else: + Bogus = FlexibleAlias[T, T] diff --git a/micromamba_root/Lib/site-packages/mypy/build.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/build.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..b9acee1c34027af0a86ca9ae78b944623b632002 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/build.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/build.py b/micromamba_root/Lib/site-packages/mypy/build.py new file mode 100644 index 0000000000000000000000000000000000000000..1f83cee536e827c69bcf0378d65ded049548cb10 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/build.py @@ -0,0 +1,4796 @@ +"""Facilities to analyze entire programs, including imported modules. + +Parse and analyze the source files of a program in the correct order +(based on file dependencies), and collect the results. + +This module only directs a build, which is performed in multiple passes per +file. The individual passes are implemented in separate modules. + +The function build() is the main interface to this module. +""" + +# TODO: More consistent terminology, e.g. path/fnam, module/id, state/file + +from __future__ import annotations + +import collections +import contextlib +import gc +import json +import os +import pickle +import platform +import re +import stat +import subprocess +import sys +import time +import types +from collections.abc import Callable, Iterator, Mapping, Sequence, Set as AbstractSet +from heapq import heappop, heappush +from textwrap import dedent +from typing import ( + TYPE_CHECKING, + Any, + ClassVar, + Final, + NoReturn, + TextIO, + TypeAlias as _TypeAlias, + TypedDict, + cast, + final, +) + +from librt.base64 import b64encode +from librt.internal import ( + cache_version, + read_bool, + read_int as read_int_bare, + read_str as read_str_bare, + read_tag, + write_bool, + write_bytes as write_bytes_bare, + write_int as write_int_bare, + write_str as write_str_bare, + write_tag, +) + +import mypy.semanal_main +from mypy.cache import ( + CACHE_VERSION, + DICT_STR_GEN, + LIST_GEN, + LITERAL_NONE, + CacheMeta, + ErrorTuple, + JsonValue, + ReadBuffer, + Tag, + WriteBuffer, + read_bytes, + read_errors, + read_int, + read_int_list, + read_int_opt, + read_str, + read_str_list, + read_str_opt, + write_bytes, + write_errors, + write_int, + write_int_list, + write_int_opt, + write_json_value, + write_str, + write_str_list, + write_str_opt, +) +from mypy.checker import TypeChecker +from mypy.defaults import ( + WORKER_CONNECTION_TIMEOUT, + WORKER_DONE_TIMEOUT, + WORKER_START_INTERVAL, + WORKER_START_TIMEOUT, +) +from mypy.error_formatter import OUTPUT_CHOICES, ErrorFormatter +from mypy.errorcodes import ErrorCode +from mypy.errors import CompileError, ErrorInfo, Errors, report_internal_error +from mypy.graph_utils import prepare_sccs, strongly_connected_components, topsort +from mypy.indirection import TypeIndirectionVisitor +from mypy.ipc import ( + BadStatus, + IPCClient, + IPCException, + IPCMessage, + read_status, + ready_to_read, + receive, + send, +) +from mypy.messages import MessageBuilder +from mypy.nodes import ( + FileRawData, + Import, + ImportAll, + ImportBase, + ImportFrom, + MypyFile, + SymbolTable, +) +from mypy.options import OPTIONS_AFFECTING_CACHE_NO_PLATFORM +from mypy.partially_defined import PossiblyUndefinedVariableVisitor +from mypy.semanal import SemanticAnalyzer +from mypy.semanal_pass1 import SemanticAnalyzerPreAnalysis +from mypy.util import ( + DecodeError, + decode_python_encoding, + get_mypy_comments, + hash_digest, + hash_digest_bytes, + is_stub_package_file, + is_sub_path_normabs, + is_typeshed_file, + module_prefix, + os_path_join, + read_py_file, + time_ref, + time_spent_us, +) + +if TYPE_CHECKING: + from mypy.report import Reports # Avoid unconditional slow import + +from mypy import errorcodes as codes +from mypy.config_parser import get_config_module_names, parse_mypy_comments +from mypy.fixup import fixup_module +from mypy.freetree import free_tree +from mypy.fscache import FileSystemCache +from mypy.metastore import FilesystemMetadataStore, MetadataStore, SqliteMetadataStore +from mypy.modulefinder import ( + BuildSource as BuildSource, + BuildSourceSet as BuildSourceSet, + FindModuleCache, + ModuleNotFoundReason, + ModuleSearchResult, + SearchPaths, + compute_search_paths, +) +from mypy.nodes import Expression +from mypy.options import Options +from mypy.parse import load_from_raw, parse +from mypy.plugin import ChainedPlugin, Plugin, ReportConfigContext +from mypy.plugins.default import DefaultPlugin +from mypy.renaming import LimitedVariableRenameVisitor, VariableRenameVisitor +from mypy.stats import dump_type_stats +from mypy.stubinfo import is_module_from_legacy_bundled_package, stub_distribution_name +from mypy.types import Type, instance_cache +from mypy.typestate import reset_global_state, type_state +from mypy.util import json_dumps, json_loads +from mypy.version import __version__ + +# Switch to True to produce debug output related to fine-grained incremental +# mode only that is useful during development. This produces only a subset of +# output compared to --verbose output. We use a global flag to enable this so +# that it's easy to enable this when running tests. +DEBUG_FINE_GRAINED: Final = False + +# These modules are special and should always come from typeshed. +CORE_BUILTIN_MODULES: Final = { + "builtins", + "typing", + "types", + "typing_extensions", + "mypy_extensions", + "_typeshed", + "_collections_abc", + "collections", + "collections.abc", + "sys", + "abc", +} + +# We are careful now, we can increase this in future if safe/useful. +MAX_GC_FREEZE_CYCLES: Final = 1 + +# We store status of initial GC freeze as a global variable to avoid memory +# leaks in tests, where we keep creating new BuildManagers in the same process. +initial_gc_freeze_done = False + +Graph: _TypeAlias = dict[str, "State"] + +MODULE_RESOLUTION_URL: Final = ( + "https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules" +) + + +class SCC: + """A simple class that represents a strongly connected component (import cycle).""" + + id_counter: ClassVar[int] = 0 + + def __init__( + self, ids: set[str], scc_id: int | None = None, deps: list[int] | None = None + ) -> None: + if scc_id is None: + self.id = SCC.id_counter + SCC.id_counter += 1 + else: + self.id = scc_id + # Ids of modules in this cycle. + self.mod_ids = ids + # Direct dependencies, should be populated by the caller. + self.deps: set[int] = set(deps) if deps is not None else set() + # Direct dependencies that have not been processed yet. + # Should be populated by the caller. This set may change during graph + # processing, while the above stays constant. + self.not_ready_deps: set[int] = set() + # SCCs that (directly) depend on this SCC. Note this is a list to + # make processing order more predictable. Dependents will be notified + # that they may be ready in the order in this list. + self.direct_dependents: list[int] = [] + # Rough estimate of how much time processing this SCC will take, this + # is used for more efficient scheduling across multiple build workers. + self.size_hint: int = 0 + + +# TODO: Get rid of BuildResult. We might as well return a BuildManager. +class BuildResult: + """The result of a successful build. + + Attributes: + manager: The build manager. + files: Dictionary from module name to related AST node. + types: Dictionary from parse tree node to its inferred type. + used_cache: Whether the build took advantage of a pre-existing cache + errors: List of error messages. + """ + + def __init__(self, manager: BuildManager, graph: Graph) -> None: + self.manager = manager + self.graph = graph + self.files = manager.modules + self.types = manager.all_types # Non-empty if export_types True in options + self.used_cache = manager.cache_enabled + self.errors: list[str] = [] # Filled in by build if desired + + +class WorkerClient: + """A simple class that represents a mypy build worker.""" + + conn: IPCClient + + def __init__(self, status_file: str, options_data: str, env: Mapping[str, str]) -> None: + self.status_file = status_file + if os.path.isfile(status_file): + os.unlink(status_file) + + command = [ + sys.executable, + "-m", + "mypy.build_worker", + f"--status-file={status_file}", + f'--options-data="{options_data}"', + ] + # Return early without waiting, caller must call connect() before using the client. + self.proc = subprocess.Popen(command, env=env) + + def connect(self) -> None: + end_time = time.time() + WORKER_START_TIMEOUT + last_exception: Exception | None = None + while time.time() < end_time: + try: + data = read_status(self.status_file) + except BadStatus as exc: + last_exception = exc + time.sleep(WORKER_START_INTERVAL) + continue + try: + pid, connection_name = data["pid"], data["connection_name"] + assert isinstance(pid, int), f"Bad PID: {pid}" + assert isinstance(connection_name, str), f"Bad connection name: {connection_name}" + if sys.platform != "win32": + # Windows uses "wrapper processes" to run Python, so we cannot + # verify PIDs reliably. + assert pid == self.proc.pid, f"PID mismatch: {pid} vs {self.proc.pid}" + self.conn = IPCClient(connection_name, WORKER_CONNECTION_TIMEOUT) + return + except Exception as exc: + last_exception = exc + break + print("Failed to establish connection with worker:", last_exception) + sys.exit(2) + + def close(self) -> None: + self.conn.close() + # Technically we don't need to wait, but otherwise we will get ResourceWarnings. + try: + self.proc.wait(timeout=1) + except subprocess.TimeoutExpired: + pass + if os.path.isfile(self.status_file): + os.unlink(self.status_file) + + +def build_error(msg: str) -> NoReturn: + raise CompileError([f"mypy: error: {msg}"]) + + +def build( + sources: list[BuildSource], + options: Options, + alt_lib_path: str | None = None, + flush_errors: Callable[[str | None, list[str], bool], None] | None = None, + fscache: FileSystemCache | None = None, + stdout: TextIO | None = None, + stderr: TextIO | None = None, + extra_plugins: Sequence[Plugin] | None = None, + worker_env: Mapping[str, str] | None = None, +) -> BuildResult: + """Analyze a program. + + A single call to build performs parsing, semantic analysis and optionally + type checking for the program *and* all imported modules, recursively. + + Return BuildResult if successful or only non-blocking errors were found; + otherwise raise CompileError. + + If a flush_errors callback is provided, all error messages will be + passed to it and the errors and messages fields of BuildResult and + CompileError (respectively) will be empty. Otherwise those fields will + report any error messages. + + Args: + sources: list of sources to build + options: build options + alt_lib_path: an additional directory for looking up library modules + (takes precedence over other directories) + flush_errors: optional function to flush errors after a file is processed + fscache: optionally a file-system cacher + worker_env: An environment to start parallel build workers (used for tests) + """ + # If we were not given a flush_errors, we use one that will populate those + # fields for callers that want the traditional API. + messages = [] + + # This is mostly for the benefit of tests that use builtins fixtures. + instance_cache.reset() + + def default_flush_errors( + filename: str | None, new_messages: list[str], is_serious: bool + ) -> None: + messages.extend(new_messages) + + flush_errors = flush_errors or default_flush_errors + stdout = stdout or sys.stdout + stderr = stderr or sys.stderr + extra_plugins = extra_plugins or [] + + workers = [] + if options.num_workers > 0: + # TODO: switch to something more efficient than pickle (also in the daemon). + pickled_options = pickle.dumps(options.snapshot()) + options_data = b64encode(pickled_options).decode() + workers = [ + WorkerClient(f".mypy_worker.{idx}.json", options_data, worker_env or os.environ) + for idx in range(options.num_workers) + ] + sources_message = SourcesDataMessage(sources=sources) + buf = WriteBuffer() + sources_message.write(buf) + sources_data = buf.getvalue() + for worker in workers: + # Start loading graph in each worker as soon as it is up. + worker.connect() + worker.conn.write_bytes(sources_data) + + try: + result = build_inner( + sources, + options, + alt_lib_path, + flush_errors, + fscache, + stdout, + stderr, + extra_plugins, + workers, + ) + result.errors = messages + return result + except CompileError as e: + # CompileErrors raised from an errors object carry all the + # messages that have not been reported out by error streaming. + # Patch it up to contain either none or all none of the messages, + # depending on whether we are flushing errors. + serious = not e.use_stdout + flush_errors(None, e.messages, serious) + e.messages = messages + raise + finally: + for worker in workers: + try: + send(worker.conn, SccRequestMessage(scc_id=None, import_errors={}, mod_data={})) + except (OSError, IPCException): + pass + for worker in workers: + worker.close() + + +def build_inner( + sources: list[BuildSource], + options: Options, + alt_lib_path: str | None, + flush_errors: Callable[[str | None, list[str], bool], None], + fscache: FileSystemCache | None, + stdout: TextIO, + stderr: TextIO, + extra_plugins: Sequence[Plugin], + workers: list[WorkerClient], +) -> BuildResult: + if platform.python_implementation() == "CPython": + # Run gc less frequently, as otherwise we can spend a large fraction of + # cpu in gc. This seems the most reasonable place to tune garbage collection. + gc.set_threshold(200 * 1000, 30, 30) + + data_dir = default_data_dir() + fscache = fscache or FileSystemCache() + + search_paths = compute_search_paths(sources, options, data_dir, alt_lib_path) + + reports = None + if options.report_dirs: + # Import lazily to avoid slowing down startup. + from mypy.report import Reports + + reports = Reports(data_dir, options.report_dirs) + + source_set = BuildSourceSet(sources) + cached_read = fscache.read + errors = Errors(options, read_source=lambda path: read_py_file(path, cached_read)) + # Record import errors so that they can be replayed by the workers. + if workers: + errors.global_watcher = True + plugin, snapshot = load_plugins(options, errors, stdout, extra_plugins) + + # Validate error codes after plugins are loaded. + options.process_error_codes(error_callback=build_error) + + # Construct a build manager object to hold state during the build. + # + # Ignore current directory prefix in error messages. + manager = BuildManager( + data_dir, + search_paths, + ignore_prefix=os.getcwd(), + source_set=source_set, + reports=reports, + options=options, + version_id=__version__, + plugin=plugin, + plugins_snapshot=snapshot, + errors=errors, + error_formatter=None if options.output is None else OUTPUT_CHOICES.get(options.output), + flush_errors=flush_errors, + fscache=fscache, + stdout=stdout, + stderr=stderr, + ) + manager.workers = workers + if manager.verbosity() >= 2: + manager.trace(repr(options)) + + reset_global_state() + try: + graph = dispatch(sources, manager, stdout) + if not options.fine_grained_incremental: + type_state.reset_all_subtype_caches() + if options.timing_stats is not None: + dump_timing_stats(options.timing_stats, graph) + if options.line_checking_stats is not None: + dump_line_checking_stats(options.line_checking_stats, graph) + warn_unused_configs(options, flush_errors) + return BuildResult(manager, graph) + finally: + t0 = time.time() + manager.metastore.commit() + manager.add_stats(cache_commit_time=time.time() - t0) + manager.log( + "Build finished in %.3f seconds with %d modules, and %d errors" + % ( + time.time() - manager.start_time, + len(manager.modules), + manager.errors.num_messages(), + ) + ) + manager.dump_stats() + if reports is not None: + # Finish the HTML or XML reports even if CompileError was raised. + reports.finish() + if os.path.isdir(options.cache_dir): + add_catch_all_gitignore(options.cache_dir) + exclude_from_backups(options.cache_dir) + if os.path.isdir(options.cache_dir): + record_missing_stub_packages(options.cache_dir, manager.missing_stub_packages) + + +def warn_unused_configs( + options: Options, flush_errors: Callable[[str | None, list[str], bool], None] +) -> None: + if options.warn_unused_configs and options.unused_configs and not options.non_interactive: + unused = get_config_module_names( + options.config_file, + [glob for glob in options.per_module_options.keys() if glob in options.unused_configs], + ) + flush_errors( + None, ["{}: note: unused section(s): {}".format(options.config_file, unused)], False + ) + + +def default_data_dir() -> str: + """Returns directory containing typeshed directory.""" + return os.path.dirname(__file__) + + +def normpath(path: str, options: Options) -> str: + """Convert path to absolute; but to relative in bazel mode. + + (Bazel's distributed cache doesn't like filesystem metadata to + end up in output files.) + """ + # TODO: Could we always use relpath? (A worry in non-bazel + # mode would be that a moved file may change its full module + # name without changing its size, mtime or hash.) + if options.bazel: + return os.path.relpath(path) + else: + return os.path.abspath(path) + + +# NOTE: dependencies + suppressed == all reachable imports; +# suppressed contains those reachable imports that were prevented by +# silent mode or simply not found. + + +# Metadata for the fine-grained dependencies file associated with a module. +class FgDepMeta(TypedDict): + path: str + mtime: int + + +# Priorities used for imports. (Here, top-level includes inside a class.) +# These are used to determine a more predictable order in which the +# nodes in an import cycle are processed. +PRI_HIGH: Final = 5 # top-level "from X import blah" +PRI_MED: Final = 10 # top-level "import X" +PRI_LOW: Final = 20 # either form inside a function +PRI_MYPY: Final = 25 # inside "if MYPY" or "if TYPE_CHECKING" +PRI_INDIRECT: Final = 30 # an indirect dependency +PRI_ALL: Final = 99 # include all priorities + + +def import_priority(imp: ImportBase, toplevel_priority: int) -> int: + """Compute import priority from an import node.""" + if not imp.is_top_level: + # Inside a function + return PRI_LOW + if imp.is_mypy_only: + # Inside "if MYPY" or "if typing.TYPE_CHECKING" + return max(PRI_MYPY, toplevel_priority) + # A regular import; priority determined by argument. + return toplevel_priority + + +def load_plugins_from_config( + options: Options, errors: Errors, stdout: TextIO +) -> tuple[list[Plugin], dict[str, str]]: + """Load all configured plugins. + + Return a list of all the loaded plugins from the config file. + The second return value is a snapshot of versions/hashes of loaded user + plugins (for cache validation). + """ + import importlib + + snapshot: dict[str, str] = {} + + if not options.config_file: + return [], snapshot + + line = find_config_file_line_number(options.config_file, "mypy", "plugins") + if line == -1: + line = 1 # We need to pick some line number that doesn't look too confusing + + def plugin_error(message: str) -> NoReturn: + errors.report(line, 0, message) + errors.raise_error(use_stdout=False) + + custom_plugins: list[Plugin] = [] + errors.set_file(options.config_file, None, options) + for plugin_path in options.plugins: + func_name = "plugin" + plugin_dir: str | None = None + if ":" in os.path.basename(plugin_path): + plugin_path, func_name = plugin_path.rsplit(":", 1) + if plugin_path.endswith(".py"): + # Plugin paths can be relative to the config file location. + plugin_path = os_path_join(os.path.dirname(options.config_file), plugin_path) + if not os.path.isfile(plugin_path): + plugin_error(f'Can\'t find plugin "{plugin_path}"') + # Use an absolute path to avoid populating the cache entry + # for 'tmp' during tests, since it will be different in + # different tests. + plugin_dir = os.path.abspath(os.path.dirname(plugin_path)) + fnam = os.path.basename(plugin_path) + module_name = fnam[:-3] + sys.path.insert(0, plugin_dir) + elif re.search(r"[\\/]", plugin_path): + fnam = os.path.basename(plugin_path) + plugin_error(f'Plugin "{fnam}" does not have a .py extension') + else: + module_name = plugin_path + + try: + module = importlib.import_module(module_name) + except Exception as exc: + plugin_error(f'Error importing plugin "{plugin_path}": {exc}') + finally: + if plugin_dir is not None: + assert sys.path[0] == plugin_dir + del sys.path[0] + + if not hasattr(module, func_name): + plugin_error( + 'Plugin "{}" does not define entry point function "{}"'.format( + plugin_path, func_name + ) + ) + + try: + plugin_type = getattr(module, func_name)(__version__) + except Exception: + print(f"Error calling the plugin(version) entry point of {plugin_path}\n", file=stdout) + raise # Propagate to display traceback + + if not isinstance(plugin_type, type): + plugin_error( + 'Type object expected as the return value of "plugin"; got {!r} (in {})'.format( + plugin_type, plugin_path + ) + ) + if not issubclass(plugin_type, Plugin): + plugin_error( + 'Return value of "plugin" must be a subclass of "mypy.plugin.Plugin" ' + "(in {})".format(plugin_path) + ) + try: + custom_plugins.append(plugin_type(options)) + snapshot[module_name] = take_module_snapshot(module) + except Exception: + print(f"Error constructing plugin instance of {plugin_type.__name__}\n", file=stdout) + raise # Propagate to display traceback + + return custom_plugins, snapshot + + +def load_plugins( + options: Options, errors: Errors, stdout: TextIO, extra_plugins: Sequence[Plugin] +) -> tuple[Plugin, dict[str, str]]: + """Load all configured plugins. + + Return a plugin that encapsulates all plugins chained together. Always + at least include the default plugin (it's last in the chain). + The second return value is a snapshot of versions/hashes of loaded user + plugins (for cache validation). + """ + custom_plugins, snapshot = load_plugins_from_config(options, errors, stdout) + + custom_plugins += extra_plugins + + default_plugin: Plugin = DefaultPlugin(options) + if not custom_plugins: + return default_plugin, snapshot + + # Custom plugins take precedence over the default plugin. + return ChainedPlugin(options, custom_plugins + [default_plugin]), snapshot + + +def take_module_snapshot(module: types.ModuleType) -> str: + """Take plugin module snapshot by recording its version and hash. + + We record _both_ hash and the version to detect more possible changes + (e.g. if there is a change in modules imported by a plugin). + """ + if hasattr(module, "__file__"): + assert module.__file__ is not None + with open(module.__file__, "rb") as f: + digest = hash_digest(f.read()) + else: + digest = "unknown" + ver = getattr(module, "__version__", "none") + return f"{ver}:{digest}" + + +def find_config_file_line_number(path: str, section: str, setting_name: str) -> int: + """Return the approximate location of setting_name within mypy config file. + + Return -1 if can't determine the line unambiguously. + """ + in_desired_section = False + try: + results = [] + with open(path, encoding="UTF-8") as f: + for i, line in enumerate(f): + line = line.strip() + if line.startswith("[") and line.endswith("]"): + current_section = line[1:-1].strip() + in_desired_section = current_section == section + elif in_desired_section and re.match(rf"{setting_name}\s*=", line): + results.append(i + 1) + if len(results) == 1: + return results[0] + except OSError: + pass + return -1 + + +class BuildManager: + """This class holds shared state for building a mypy program. + + It is used to coordinate parsing, import processing, semantic + analysis and type checking. The actual build steps are carried + out by dispatch(). + + Attributes: + data_dir: Mypy data directory (contains stubs) + search_paths: SearchPaths instance indicating where to look for modules + modules: Mapping of module ID to MypyFile (shared by the passes) + semantic_analyzer: + Semantic analyzer, pass 2 + all_types: Map {Expression: Type} from all modules (enabled by export_types) + options: Build options + missing_modules: Modules that could not be imported (or intentionally skipped) + stale_modules: Set of modules that needed to be rechecked (only used by tests) + fg_deps_meta: Metadata for fine-grained dependencies caches associated with modules + fg_deps: A fine-grained dependency map + version_id: The current mypy version (based on commit id when possible) + plugin: Active mypy plugin(s) + plugins_snapshot: + Snapshot of currently active user plugins (versions and hashes) + old_plugins_snapshot: + Plugins snapshot from previous incremental run (or None in + non-incremental mode and if cache was not found) + errors: Used for reporting all errors + flush_errors: A function for processing errors after each SCC + cache_enabled: Whether cache is being read. This is set based on options, + but is disabled if fine-grained cache loading fails + and after an initial fine-grained load. This doesn't + determine whether we write cache files or not. + quickstart_state: + A cache of filename -> mtime/size/hash info used to avoid + needing to hash source files when using a cache with mismatching mtimes + stats: Dict with various instrumentation numbers, it is used + not only for debugging, but also required for correctness, + in particular to check consistency of the fine-grained dependency cache. + fscache: A file system cacher + ast_cache: AST cache to speed up mypy daemon + """ + + def __init__( + self, + data_dir: str, + search_paths: SearchPaths, + ignore_prefix: str, + source_set: BuildSourceSet, + reports: Reports | None, + options: Options, + version_id: str, + plugin: Plugin, + plugins_snapshot: dict[str, str], + errors: Errors, + flush_errors: Callable[[str | None, list[str], bool], None], + fscache: FileSystemCache, + stdout: TextIO, + stderr: TextIO, + error_formatter: ErrorFormatter | None = None, + parallel_worker: bool = False, + ) -> None: + self.stats: dict[str, Any] = {} # Values are ints or floats + self.stdout = stdout + self.stderr = stderr + self.start_time = time.time() + self.data_dir = data_dir + self.errors = errors + self.errors.set_ignore_prefix(ignore_prefix) + self.error_formatter = error_formatter + self.search_paths = search_paths + self.source_set = source_set + self.reports = reports + self.options = options + self.version_id = version_id + self.modules: dict[str, MypyFile] = {} + self.import_map: dict[str, set[str]] = {} + self.missing_modules: dict[str, int] = {} + self.fg_deps_meta: dict[str, FgDepMeta] = {} + # fg_deps holds the dependencies of every module that has been + # processed. We store this in BuildManager so that we can compute + # dependencies as we go, which allows us to free ASTs and type information, + # saving a ton of memory on net. + self.fg_deps: dict[str, set[str]] = {} + # Always convert the plugin to a ChainedPlugin so that it can be manipulated if needed + if not isinstance(plugin, ChainedPlugin): + plugin = ChainedPlugin(options, [plugin]) + self.plugin = plugin + # These allow quickly skipping logging and stats collection calls. Note + # that some stats impact mypy behavior, so be careful when skipping stats + # collection calls. + self.stats_enabled = self.options.dump_build_stats + self.logging_enabled = self.options.verbosity >= 1 + self.tracing_enabled = self.options.verbosity >= 2 + # Set of namespaces (module or class) that are being populated during semantic + # analysis and may have missing definitions. + self.incomplete_namespaces: set[str] = set() + self.semantic_analyzer = SemanticAnalyzer( + self.modules, + self.missing_modules, + self.incomplete_namespaces, + self.errors, + self.plugin, + self.import_map, + ) + self.all_types: dict[Expression, Type] = {} # Enabled by export_types + self.indirection_detector = TypeIndirectionVisitor() + self.stale_modules: set[str] = set() + self.rechecked_modules: set[str] = set() + self.flush_errors = flush_errors + has_reporters = reports is not None and reports.reporters + self.cache_enabled = ( + options.incremental + and (not options.fine_grained_incremental or options.use_fine_grained_cache) + and not has_reporters + ) + self.fscache = fscache + self.cwd = os.getcwd() + self.find_module_cache = FindModuleCache( + self.search_paths, self.fscache, self.options, source_set=self.source_set + ) + for module in CORE_BUILTIN_MODULES: + if options.use_builtins_fixtures: + continue + path = self.find_module_cache.find_module(module, fast_path=True) + if not isinstance(path, str): + raise CompileError( + [f"Failed to find builtin module {module}, perhaps typeshed is broken?"] + ) + if is_typeshed_file(options.abs_custom_typeshed_dir, path) or is_stub_package_file( + path + ): + continue + + raise CompileError( + [ + f'mypy: "{os.path.relpath(path)}" shadows library module "{module}"', + f'note: A user-defined top-level module with name "{module}" is not supported', + ] + ) + + self.metastore = create_metastore(options, parallel_worker=parallel_worker) + + # a mapping from source files to their corresponding shadow files + # for efficient lookup + self.shadow_map: dict[str, str] = {} + if self.options.shadow_file is not None: + self.shadow_map = dict(self.options.shadow_file) + # a mapping from each file being typechecked to its possible shadow file + self.shadow_equivalence_map: dict[str, str | None] = {} + self.plugin = plugin + self.plugins_snapshot = plugins_snapshot + self.old_plugins_snapshot = read_plugins_snapshot(self) + if self.verbosity() >= 2: + self.trace(f"Plugins snapshot (fresh) {json.dumps(self.plugins_snapshot)}") + self.quickstart_state = read_quickstart_file(options, self.stdout) + # Fine grained targets (module top levels and top level functions) processed by + # the semantic analyzer, used only for testing. Currently used only by the new + # semantic analyzer. Tuple of module and target name. + self.processed_targets: list[tuple[str, str]] = [] + # Missing stub packages encountered. + self.missing_stub_packages: set[str] = set() + # Cache for mypy ASTs that have completed semantic analysis + # pass 1. When multiple files are added to the build in a + # single daemon increment, only one of the files gets added + # per step and the others are discarded. This gets repeated + # until all the files have been added. This means that a + # new file can be processed O(n**2) times. This cache + # avoids most of this redundant work. + self.ast_cache: dict[str, tuple[MypyFile, list[ErrorInfo]]] = {} + # Number of times we used GC optimization hack for fresh SCCs. + self.gc_freeze_cycles = 0 + # Mapping from SCC id to corresponding SCC instance. This is populated + # in process_graph(). + self.scc_by_id: dict[int, SCC] = {} + # Mapping from module id to the SCC it belongs to. This is populated + # in process_graph(). + self.scc_by_mod_id: dict[str, SCC] = {} + # Global topological order for SCCs. This exists to make order of processing + # SCCs more predictable. + self.top_order: list[int] = [] + # Stale SCCs that are queued for processing. Each tuple contains SCC size hint, + # SCC adding order (tie-breaker), and the SCC itself. + self.scc_queue: list[tuple[int, int, SCC]] = [] + # SCCs that have been fully processed. + self.done_sccs: set[int] = set() + # Parallel build workers, list is empty for in-process type-checking. + self.workers: list[WorkerClient] = [] + # We track which workers are currently free in the coordinator process. + # This is a tiny bit faster and conceptually simpler than check which ones + # are writeable each time we want to submit an SCC for processing. + self.free_workers: set[int] = set() + # A global adding order for SCC queue, see comment above. + self.queue_order: int = 0 + # Is this an instance used by a parallel worker? + self.parallel_worker = parallel_worker + # Snapshot of import-related options per module. We record these even for + # suppressed imports, since they can affect errors in the callers. Bytes + # value is opaque but can be compared to detect changes in options. + self.import_options: dict[str, bytes] = {} + # Cache for transitive dependency check (expensive). + self.transitive_deps_cache: dict[tuple[int, int], bool] = {} + # Packages for which we know presence or absence of __getattr__(). + self.known_partial_packages: dict[str, bool] = {} + + def dump_stats(self) -> None: + if self.stats_enabled: + print("Stats:") + for key, value in sorted(self.stats_summary().items()): + print(f"{key + ':':24}{value}") + + def use_fine_grained_cache(self) -> bool: + return self.cache_enabled and self.options.use_fine_grained_cache + + def maybe_swap_for_shadow_path(self, path: str) -> str: + if not self.shadow_map: + return path + + path = normpath(path, self.options) + + previously_checked = path in self.shadow_equivalence_map + if not previously_checked: + for source, shadow in self.shadow_map.items(): + if self.fscache.samefile(path, source): + self.shadow_equivalence_map[path] = shadow + break + else: + self.shadow_equivalence_map[path] = None + + shadow_file = self.shadow_equivalence_map.get(path) + return shadow_file if shadow_file else path + + def get_stat(self, path: str) -> os.stat_result | None: + return self.fscache.stat_or_none(self.maybe_swap_for_shadow_path(path)) + + def getmtime(self, path: str) -> int: + """Return a file's mtime; but 0 in bazel mode. + + (Bazel's distributed cache doesn't like filesystem metadata to + end up in output files.) + """ + if self.options.bazel: + return 0 + else: + return int(self.metastore.getmtime(path)) + + def correct_rel_imp(self, file: MypyFile, imp: ImportFrom | ImportAll) -> str: + """Function to correct for relative imports.""" + file_id = file.fullname + rel = imp.relative + if rel == 0: + return imp.id + if os.path.basename(file.path).startswith("__init__."): + rel -= 1 + if rel != 0: + file_id = ".".join(file_id.split(".")[:-rel]) + new_id = file_id + "." + imp.id if imp.id else file_id + + if not new_id: + self.errors.set_file(file.path, file.name, self.options) + self.error( + imp.line, "No parent module -- cannot perform relative import", blocker=True + ) + + return new_id + + def all_imported_modules_in_file(self, file: MypyFile) -> list[tuple[int, str, int]]: + """Find all reachable import statements in a file. + + Return list of tuples (priority, module id, import line number) + for all modules imported in file; lower numbers == higher priority. + + Can generate blocking errors on bogus relative imports. + """ + res: list[tuple[int, str, int]] = [] + for imp in file.imports: + if not imp.is_unreachable: + if isinstance(imp, Import): + pri = import_priority(imp, PRI_MED) + ancestor_pri = import_priority(imp, PRI_LOW) + for id, _ in imp.ids: + res.append((pri, id, imp.line)) + ancestor_parts = id.split(".")[:-1] + ancestors = [] + for part in ancestor_parts: + ancestors.append(part) + res.append((ancestor_pri, ".".join(ancestors), imp.line)) + elif isinstance(imp, ImportFrom): + cur_id = self.correct_rel_imp(file, imp) + all_are_submodules = True + # Also add any imported names that are submodules. + pri = import_priority(imp, PRI_MED) + for name, __ in imp.names: + sub_id = cur_id + "." + name + if self.is_module(sub_id): + res.append((pri, sub_id, imp.line)) + else: + all_are_submodules = False + # Add cur_id as a dependency, even if all the + # imports are submodules. Processing import from will try + # to look through cur_id, so we should depend on it. + # As a workaround for some bugs in cycle handling (#4498), + # if all the imports are submodules, do the import at a lower + # priority. + pri = import_priority(imp, PRI_HIGH if not all_are_submodules else PRI_LOW) + res.append((pri, cur_id, imp.line)) + elif isinstance(imp, ImportAll): + pri = import_priority(imp, PRI_HIGH) + res.append((pri, self.correct_rel_imp(file, imp), imp.line)) + + # Sort such that module (e.g. foo.bar.baz) comes before its ancestors (e.g. foo + # and foo.bar) so that, if FindModuleCache finds the target module in a + # package marked with py.typed underneath a namespace package installed in + # site-packages, (gasp), that cache's knowledge of the ancestors + # (aka FindModuleCache.ns_ancestors) can be primed when it is asked to find + # the parent. + res.sort(key=lambda x: -x[1].count(".")) + return res + + def is_module(self, id: str) -> bool: + """Is there a file in the file system corresponding to module id?""" + return find_module_simple(id, self) is not None + + def parse_file( + self, + id: str, + path: str, + source: str, + ignore_errors: bool, + options: Options, + raw_data: FileRawData | None = None, + ) -> MypyFile: + """Parse the source of a file with the given name. + + Raise CompileError if there is a parse error. + """ + imports_only = False + if self.workers and self.fscache.exists(path): + # Currently, we can use the native parser only for actual files. + imports_only = True + t0 = time.time() + if ignore_errors: + self.errors.ignored_files.add(path) + if raw_data: + # If possible, deserialize from known binary data instead of parsing from scratch. + tree = load_from_raw(path, id, raw_data, self.errors, options) + else: + tree = parse(source, path, id, self.errors, options=options, imports_only=imports_only) + tree._fullname = id + self.add_stats( + files_parsed=1, + modules_parsed=int(not tree.is_stub), + stubs_parsed=int(tree.is_stub), + parse_time=time.time() - t0, + ) + + if self.errors.is_blockers(): + self.log("Bailing due to parse errors") + self.errors.raise_error() + return tree + + def load_fine_grained_deps(self, id: str) -> dict[str, set[str]]: + t0 = time.time() + if id in self.fg_deps_meta: + # TODO: Assert deps file wasn't changed. + deps = json_loads(self.metastore.read(self.fg_deps_meta[id]["path"])) + else: + deps = {} + val = {k: set(v) for k, v in deps.items()} + self.add_stats(load_fg_deps_time=time.time() - t0) + return val + + def report_file( + self, file: MypyFile, type_map: dict[Expression, Type], options: Options + ) -> None: + if self.reports is not None and self.source_set.is_source(file): + self.reports.file(file, self.modules, type_map, options) + + def verbosity(self) -> int: + return self.options.verbosity + + def log(self, *message: str) -> None: + if self.verbosity() >= 1: + if message: + print("LOG: ", *message, file=self.stderr) + else: + print(file=self.stderr) + self.stderr.flush() + + def log_fine_grained(self, *message: str) -> None: + if self.verbosity() >= 1: + self.log("fine-grained:", *message) + elif mypy.build.DEBUG_FINE_GRAINED: + # Output log in a simplified format that is quick to browse. + if message: + print(*message, file=self.stderr) + else: + print(file=self.stderr) + self.stderr.flush() + + def trace(self, *message: str) -> None: + if self.verbosity() >= 2: + print("TRACE:", *message, file=self.stderr) + self.stderr.flush() + + def add_stats(self, **kwds: Any) -> None: + for key, value in kwds.items(): + if key in self.stats: + self.stats[key] += value + else: + self.stats[key] = value + + def stats_summary(self) -> Mapping[str, object]: + return self.stats + + def submit(self, graph: Graph, sccs: list[SCC]) -> None: + """Submit a stale SCC for processing in current process or parallel workers.""" + if self.workers: + self.submit_to_workers(graph, sccs) + else: + self.scc_queue.extend([(0, 0, scc) for scc in sccs]) + + def submit_to_workers(self, graph: Graph, sccs: list[SCC] | None = None) -> None: + if sccs is not None: + for scc in sccs: + heappush(self.scc_queue, (-scc.size_hint, self.queue_order, scc)) + self.queue_order += 1 + while self.scc_queue and self.free_workers: + idx = self.free_workers.pop() + _, _, scc = heappop(self.scc_queue) + import_errors = { + mod_id: self.errors.recorded[path] + for mod_id in scc.mod_ids + if (path := graph[mod_id].xpath) in self.errors.recorded + } + send( + self.workers[idx].conn, + SccRequestMessage( + scc_id=scc.id, + import_errors=import_errors, + mod_data={ + mod_id: ( + # Although workers don't really need to know about details + # of dependencies, they will write cache, so we need to pass + # suppressed_deps_opts() as part of module data. + graph[mod_id].suppressed_deps_opts(), + tree.raw_data if (tree := graph[mod_id].tree) else None, + ) + for mod_id in scc.mod_ids + }, + ), + ) + + def wait_for_done( + self, graph: Graph + ) -> tuple[list[SCC], bool, dict[str, tuple[str, list[str]]]]: + """Wait for a stale SCC processing to finish. + + Return a tuple three items: + * processed SCCs + * whether we have more in the queue + * new interface hash and list of errors for each module + The last item is only used for parallel processing. + """ + if self.workers: + return self.wait_for_done_workers(graph) + if not self.scc_queue: + return [], False, {} + _, _, next_scc = self.scc_queue.pop(0) + process_stale_scc(graph, next_scc, self) + return [next_scc], bool(self.scc_queue), {} + + def wait_for_done_workers( + self, graph: Graph + ) -> tuple[list[SCC], bool, dict[str, tuple[str, list[str]]]]: + if not self.scc_queue and len(self.free_workers) == len(self.workers): + return [], False, {} + + done_sccs = [] + results = {} + for idx in ready_to_read([w.conn for w in self.workers], WORKER_DONE_TIMEOUT): + data = SccResponseMessage.read(receive(self.workers[idx].conn)) + self.free_workers.add(idx) + scc_id = data.scc_id + if data.blocker is not None: + raise data.blocker + assert data.result is not None + results.update(data.result) + done_sccs.append(self.scc_by_id[scc_id]) + self.submit_to_workers(graph) # advance after some workers are free. + return ( + done_sccs, + bool(self.scc_queue) or len(self.free_workers) < len(self.workers), + results, + ) + + def is_transitive_scc_dep(self, from_scc_id: int, to_scc_id: int) -> bool: + """Check if one SCC is a (transitive) dependency of another.""" + edge = (from_scc_id, to_scc_id) + if (cached := self.transitive_deps_cache.get(edge)) is not None: + return cached + todo = self.scc_by_id[from_scc_id].deps + seen = set() + while todo: + more = set() + # Breadth-first search seems to be better here, because all + # "lower-level" SCCs are processed and some may be cached. + for dep in todo: + seen.add(dep) + if dep == to_scc_id: + self.transitive_deps_cache[edge] = True + return True + if cached := self.transitive_deps_cache.get((dep, to_scc_id)): + self.transitive_deps_cache[edge] = True + return True + elif cached is None: + more |= self.scc_by_id[dep].deps + todo = more + self.transitive_deps_cache[edge] = False + for dep in seen: + # We negative-cache all intermediate lookups, thus + # trading time for space. + self.transitive_deps_cache[(dep, to_scc_id)] = False + return False + + def error( + self, + line: int | None, + msg: str, + code: ErrorCode | None = None, + *, + blocker: bool = False, + only_once: bool = False, + ) -> None: + if line is None: + line = column = -1 + else: + column = 0 + self.errors.report(line, column, msg, code, blocker=blocker, only_once=only_once) + + def note( + self, line: int | None, msg: str, code: ErrorCode | None = None, *, only_once: bool = False + ) -> None: + if line is None: + line = column = -1 + else: + column = 0 + self.errors.report(line, column, msg, code, severity="note", only_once=only_once) + + def note_multiline( + self, line: int | None, msg: str, code: ErrorCode | None = None, *, only_once: bool = False + ) -> None: + for msg_line in dedent(msg.lstrip("\n")).splitlines(): + self.note(line, msg_line, code, only_once=only_once) + + +def deps_to_json(x: dict[str, set[str]]) -> bytes: + return json_dumps({k: list(v) for k, v in x.items()}) + + +# File for storing metadata about all the fine-grained dependency caches +DEPS_META_FILE: Final = "@deps.meta.json" +# File for storing fine-grained dependencies that didn't a parent in the build +DEPS_ROOT_FILE: Final = "@root.deps.json" + +# The name of the fake module used to store fine-grained dependencies that +# have no other place to go. +FAKE_ROOT_MODULE: Final = "@root" + + +def write_deps_cache( + rdeps: dict[str, dict[str, set[str]]], manager: BuildManager, graph: Graph +) -> None: + """Write cache files for fine-grained dependencies. + + Serialize fine-grained dependencies map for fine-grained mode. + + Dependencies on some module 'm' is stored in the dependency cache + file m.deps.json. This entails some spooky action at a distance: + if module 'n' depends on 'm', that produces entries in m.deps.json. + When there is a dependency on a module that does not exist in the + build, it is stored with its first existing parent module. If no + such module exists, it is stored with the fake module FAKE_ROOT_MODULE. + + This means that the validity of the fine-grained dependency caches + are a global property, so we store validity checking information for + fine-grained dependencies in a global cache file: + * We take a snapshot of current sources to later check consistency + between the fine-grained dependency cache and module cache metadata + * We store the mtime of all the dependency files to verify they + haven't changed + """ + metastore = manager.metastore + + error = False + + fg_deps_meta = manager.fg_deps_meta.copy() + + for id in rdeps: + if id != FAKE_ROOT_MODULE: + _, _, deps_json = get_cache_names(id, graph[id].xpath, manager.options) + else: + deps_json = DEPS_ROOT_FILE + assert deps_json + manager.log("Writing deps cache", deps_json) + if not manager.metastore.write(deps_json, deps_to_json(rdeps[id])): + manager.log(f"Error writing fine-grained deps JSON file {deps_json}") + error = True + else: + fg_deps_meta[id] = {"path": deps_json, "mtime": manager.getmtime(deps_json)} + + meta_snapshot: dict[str, str] = {} + for id, st in graph.items(): + # If we didn't parse a file (so it doesn't have a + # source_hash), then it must be a module with a fresh cache, + # so use the hash from that. + if st.source_hash: + hash = st.source_hash + else: + if st.meta: + hash = st.meta.hash + else: + hash = "" + meta_snapshot[id] = hash + + meta = {"snapshot": meta_snapshot, "deps_meta": fg_deps_meta} + + if not metastore.write(DEPS_META_FILE, json_dumps(meta)): + manager.log(f"Error writing fine-grained deps meta JSON file {DEPS_META_FILE}") + error = True + + if error: + manager.errors.set_file(_cache_dir_prefix(manager.options), None, manager.options) + manager.error(None, "Error writing fine-grained dependencies cache", blocker=True) + + +def invert_deps(deps: dict[str, set[str]], graph: Graph) -> dict[str, dict[str, set[str]]]: + """Splits fine-grained dependencies based on the module of the trigger. + + Returns a dictionary from module ids to all dependencies on that + module. Dependencies not associated with a module in the build will be + associated with the nearest parent module that is in the build, or the + fake module FAKE_ROOT_MODULE if none are. + """ + # Lazy import to speed up startup + from mypy.server.target import trigger_to_target + + # Prepopulate the map for all the modules that have been processed, + # so that we always generate files for processed modules (even if + # there aren't any dependencies to them.) + rdeps: dict[str, dict[str, set[str]]] = {id: {} for id, st in graph.items() if st.tree} + for trigger, targets in deps.items(): + module = module_prefix(graph, trigger_to_target(trigger)) + if not module or not graph[module].tree: + module = FAKE_ROOT_MODULE + + mod_rdeps = rdeps.setdefault(module, {}) + mod_rdeps.setdefault(trigger, set()).update(targets) + + return rdeps + + +def generate_deps_for_cache(manager: BuildManager, graph: Graph) -> dict[str, dict[str, set[str]]]: + """Generate fine-grained dependencies into a form suitable for serializing. + + This does a couple things: + 1. Splits fine-grained deps based on the module of the trigger + 2. For each module we generated fine-grained deps for, load any previous + deps and merge them in. + + Returns a dictionary from module ids to all dependencies on that + module. Dependencies not associated with a module in the build will be + associated with the nearest parent module that is in the build, or the + fake module FAKE_ROOT_MODULE if none are. + """ + from mypy.server.deps import merge_dependencies # Lazy import to speed up startup + + # Split the dependencies out into based on the module that is depended on. + rdeps = invert_deps(manager.fg_deps, graph) + + # We can't just clobber existing dependency information, so we + # load the deps for every module we've generated new dependencies + # to and merge the new deps into them. + for module, mdeps in rdeps.items(): + old_deps = manager.load_fine_grained_deps(module) + merge_dependencies(old_deps, mdeps) + + return rdeps + + +PLUGIN_SNAPSHOT_FILE: Final = "@plugins_snapshot.json" + + +def write_plugins_snapshot(manager: BuildManager) -> None: + """Write snapshot of versions and hashes of currently active plugins.""" + snapshot = json_dumps(manager.plugins_snapshot) + if ( + not manager.metastore.write(PLUGIN_SNAPSHOT_FILE, snapshot) + and manager.options.cache_dir != os.devnull + ): + manager.errors.set_file(_cache_dir_prefix(manager.options), None, manager.options) + manager.error(None, "Error writing plugins snapshot", blocker=True) + + +def read_plugins_snapshot(manager: BuildManager) -> dict[str, str] | None: + """Read cached snapshot of versions and hashes of plugins from previous run.""" + snapshot = _load_json_file( + PLUGIN_SNAPSHOT_FILE, + manager, + log_success="Plugins snapshot (cached) ", + log_error="Could not load plugins snapshot: ", + ) + if snapshot is None: + return None + if not isinstance(snapshot, dict): + manager.log(f"Could not load plugins snapshot: cache is not a dict: {type(snapshot)}") # type: ignore[unreachable] + return None + return snapshot + + +def read_quickstart_file( + options: Options, stdout: TextIO +) -> dict[str, tuple[float, int, str]] | None: + quickstart: dict[str, tuple[float, int, str]] | None = None + if options.quickstart_file: + # This is very "best effort". If the file is missing or malformed, + # just ignore it. + raw_quickstart: dict[str, Any] = {} + try: + with open(options.quickstart_file, "rb") as f: + raw_quickstart = json_loads(f.read()) + + quickstart = {} + for file, (x, y, z) in raw_quickstart.items(): + quickstart[file] = (x, y, z) + except Exception as e: + print(f"Warning: Failed to load quickstart file: {str(e)}\n", file=stdout) + return quickstart + + +def read_deps_cache(manager: BuildManager, graph: Graph) -> dict[str, FgDepMeta] | None: + """Read and validate the fine-grained dependencies cache. + + See the write_deps_cache documentation for more information on + the details of the cache. + + Returns None if the cache was invalid in some way. + """ + deps_meta = _load_json_file( + DEPS_META_FILE, + manager, + log_success="Deps meta ", + log_error="Could not load fine-grained dependency metadata: ", + ) + if deps_meta is None: + return None + meta_snapshot = deps_meta["snapshot"] + # Take a snapshot of the source hashes from all the metas we found. + # (Including the ones we rejected because they were out of date.) + # We use this to verify that they match up with the proto_deps. + current_meta_snapshot = { + id: st.meta_source_hash for id, st in graph.items() if st.meta_source_hash is not None + } + + common = set(meta_snapshot.keys()) & set(current_meta_snapshot.keys()) + if any(meta_snapshot[id] != current_meta_snapshot[id] for id in common): + # TODO: invalidate also if options changed (like --strict-optional)? + manager.log("Fine-grained dependencies cache inconsistent, ignoring") + return None + + module_deps_metas = deps_meta["deps_meta"] + assert isinstance(module_deps_metas, dict) + if not manager.options.skip_cache_mtime_checks: + for meta in module_deps_metas.values(): + try: + matched = manager.getmtime(meta["path"]) == meta["mtime"] + except FileNotFoundError: + matched = False + if not matched: + manager.log(f"Invalid or missing fine-grained deps cache: {meta['path']}") + return None + + return module_deps_metas + + +def _load_ff_file( + file: str, manager: BuildManager, log_error_fmt: str, id: str | None +) -> bytes | None: + if manager.stats_enabled: + t0 = time.time() + try: + data = manager.metastore.read(file) + except OSError: + if manager.logging_enabled: + if id: + message = log_error_fmt.format(id) + file + else: + message = log_error_fmt + file + manager.log(message) + return None + if manager.stats_enabled: + manager.add_stats(metastore_read_time=time.time() - t0) + return data + + +def _load_json_file( + file: str, manager: BuildManager, log_success: str, log_error: str +) -> dict[str, Any] | None: + """A simple helper to read a JSON file with logging.""" + t0 = time.time() + try: + data = manager.metastore.read(file) + except OSError: + manager.log(log_error + file) + return None + manager.add_stats(metastore_read_time=time.time() - t0) + # Only bother to compute the log message if we are logging it, since it could be big + if manager.verbosity() >= 2: + manager.trace(log_success + data.rstrip().decode()) + try: + t1 = time.time() + result = json_loads(data) + manager.add_stats(data_file_load_time=time.time() - t1) + except json.JSONDecodeError: + manager.errors.set_file(file, None, manager.options) + manager.error( + None, + "Error reading JSON file;" + " you likely have a bad cache.\n" + "Try removing the {cache_dir} directory" + " and run mypy again.".format(cache_dir=manager.options.cache_dir), + blocker=True, + ) + return None + else: + assert isinstance(result, dict) + return result + + +def _cache_dir_prefix(options: Options) -> str: + """Get current cache directory (or file if id is given).""" + if options.bazel: + # This is needed so the cache map works. + return os.curdir + cache_dir = options.cache_dir + pyversion = options.python_version + base = os_path_join(cache_dir, "%d.%d" % pyversion) + return base + + +def add_catch_all_gitignore(target_dir: str) -> None: + """Add catch-all .gitignore to an existing directory. + + No-op if the .gitignore already exists. + """ + gitignore = os_path_join(target_dir, ".gitignore") + try: + with open(gitignore, "x") as f: + print("# Automatically created by mypy", file=f) + print("*", file=f) + except FileExistsError: + pass + + +def exclude_from_backups(target_dir: str) -> None: + """Exclude the directory from various archives and backups supporting CACHEDIR.TAG. + + If the CACHEDIR.TAG file exists the function is a no-op. + """ + cachedir_tag = os_path_join(target_dir, "CACHEDIR.TAG") + try: + with open(cachedir_tag, "x") as f: + f.write("""Signature: 8a477f597d28d172789f06886806bc55 +# This file is a cache directory tag automatically created by mypy. +# For information about cache directory tags see https://bford.info/cachedir/ +""") + except FileExistsError: + pass + + +def create_metastore(options: Options, parallel_worker: bool) -> MetadataStore: + """Create the appropriate metadata store.""" + if options.sqlite_cache: + mds: MetadataStore = SqliteMetadataStore( + _cache_dir_prefix(options), set_journal_mode=not parallel_worker + ) + else: + mds = FilesystemMetadataStore(_cache_dir_prefix(options)) + return mds + + +def get_errors_name(meta_name: str) -> str: + # Convert e.g. foo.bar.meta.ff to foo.bar.err.ff + parts = meta_name.rsplit(".", maxsplit=2) + parts[1] = "err" + return ".".join(parts) + + +def get_cache_names(id: str, path: str, options: Options) -> tuple[str, str, str | None]: + """Return the file names for the cache files. + + Args: + id: module ID + path: module path + options: build options + + Returns: + A tuple with the file names to be used for the meta file, the + data file, and the fine-grained deps JSON, respectively. + """ + if options.cache_map: + pair = options.cache_map.get(normpath(path, options)) + else: + pair = None + if pair is not None: + # The cache map paths were specified relative to the base directory, + # but the filesystem metastore APIs operates relative to the cache + # prefix directory. + # Solve this by rewriting the paths as relative to the root dir. + # This only makes sense when using the filesystem backed cache. + root = _cache_dir_prefix(options) + return os.path.relpath(pair[0], root), os.path.relpath(pair[1], root), None + prefix = os.path.join(*id.split(".")) + is_package = os.path.basename(path).startswith("__init__.py") + if is_package: + prefix = os_path_join(prefix, "__init__") + + deps_json = None + if options.cache_fine_grained: + deps_json = prefix + ".deps.json" + if options.fixed_format_cache: + data_suffix = ".data.ff" + meta_suffix = ".meta.ff" + else: + data_suffix = ".data.json" + meta_suffix = ".meta.json" + return prefix + meta_suffix, prefix + data_suffix, deps_json + + +def options_snapshot(id: str, manager: BuildManager) -> dict[str, object]: + """Make compact snapshot of options for a module. + + Separately store only the options we may compare individually, and take a hash + of everything else. If --debug-cache is specified, fall back to full snapshot. + """ + platform_opt, values = manager.options.clone_for_module(id).select_options_affecting_cache() + if manager.options.debug_cache: + # Build full options snapshot for debugging purposes. + result: dict[str, object] = {"platform": platform_opt} + for key, val in zip(OPTIONS_AFFECTING_CACHE_NO_PLATFORM, values): + result[key] = val + return result + # Process most options quickly, since this is performance critical. + buf = WriteBuffer() + write_json_value(buf, cast(JsonValue, values)) + return {"platform": platform_opt, "other_options": hash_digest(buf.getvalue())} + + +def find_cache_meta( + id: str, path: str, manager: BuildManager, skip_validation: bool = False +) -> tuple[CacheMeta | None, list[ErrorTuple]]: + """Find cache data for a module. + + Args: + id: module ID + path: module path + manager: the build manager (for pyversion, log/trace, and build options) + skip_validation: if True skip any validation steps (used for parallel checking) + + Returns: + A CacheMeta instance if the cache data was found and appears + valid; otherwise None. + """ + # TODO: May need to take more build options into account + meta_file, data_file, _ = get_cache_names(id, path, manager.options) + if manager.tracing_enabled: + manager.trace(f"Looking for {id} at {meta_file}") + if manager.stats_enabled: + t0 = time.time() + if manager.options.fixed_format_cache: + meta = _load_ff_file( + meta_file, manager, log_error_fmt="Could not load cache for {}: ", id=id + ) + else: + meta = _load_json_file( + meta_file, + manager, + log_success=f"Meta {id} ", + log_error=f"Could not load cache for {id}: ", + ) + if meta is None: + return None, [] + if manager.stats_enabled: + t1 = time.time() + if isinstance(meta, bytes): + # If either low-level buffer format or high-level cache layout changed, we + # cannot use the cache files, even with --skip-version-check. + # TODO: switch to something like librt.internal.read_byte() if this is slow. + if meta[0] != cache_version() or meta[1] != CACHE_VERSION: + manager.log(f"Metadata abandoned for {id}: incompatible cache format") + return None, [] + data_io = ReadBuffer(meta[2:]) + m = CacheMeta.read(data_io, data_file) + else: + m = CacheMeta.deserialize(meta, data_file) + if m is None: + manager.log(f"Metadata abandoned for {id}: cannot deserialize data") + return None, [] + if manager.stats_enabled: + t2 = time.time() + manager.add_stats( + load_meta_time=t2 - t0, load_meta_load_time=t1 - t0, load_meta_from_dict_time=t2 - t1 + ) + if skip_validation: + return m, [] + + # Ignore cache if generated by an older mypy version. + if m.version_id != manager.version_id and not manager.options.skip_version_check: + manager.log(f"Metadata abandoned for {id}: different mypy version") + return None, [] + + total_deps = len(m.dependencies) + len(m.suppressed) + if len(m.dep_prios) != total_deps or len(m.dep_lines) != total_deps: + manager.log(f"Metadata abandoned for {id}: broken dependencies") + return None, [] + + # Ignore cache if (relevant) options aren't the same. + # Note that it's fine to mutilate cached_options since it's only used here. + cached_options = m.options + current_options = options_snapshot(id, manager) + if manager.options.skip_version_check: + # When we're lax about version we're also lax about platform. + cached_options["platform"] = current_options["platform"] + if "debug_cache" in cached_options: + # Older versions included debug_cache, but it's silly to compare it. + del cached_options["debug_cache"] + if cached_options != current_options: + manager.log(f"Metadata abandoned for {id}: options differ") + if manager.options.verbosity >= 2: + for key in sorted(set(cached_options) | set(current_options)): + if cached_options.get(key) != current_options.get(key): + manager.trace( + " {}: {} != {}".format( + key, cached_options.get(key), current_options.get(key) + ) + ) + return None, [] + if manager.old_plugins_snapshot and manager.plugins_snapshot: + # Check if plugins are still the same. + if manager.plugins_snapshot != manager.old_plugins_snapshot: + manager.log(f"Metadata abandoned for {id}: plugins differ") + return None, [] + plugin_data = manager.plugin.report_config_data(ReportConfigContext(id, path, is_check=True)) + if not manager.options.fixed_format_cache: + # So that plugins can return data with tuples in it without + # things silently always invalidating modules, we round-trip + # the config data. This isn't beautiful. + plugin_data = json_loads(json_dumps(plugin_data)) + if m.plugin_data != plugin_data: + manager.log(f"Metadata abandoned for {id}: plugin configuration differs") + return None, [] + + # Load cached errors for this file, even if empty. This is needed to avoid + # invalid cache state after a crash/blocker/Ctrl+C etc. + errors_file = get_errors_name(meta_file) + if manager.options.fixed_format_cache: + errors = _load_ff_file( + errors_file, manager, log_error_fmt="Could not load errors for {}: ", id=id + ) + else: + errors = _load_json_file( + errors_file, + manager, + log_success=f"Errors {id} ", + log_error=f"Could not load errors for {id}: ", + ) + if errors is None: + return None, [] + if isinstance(errors, bytes): + data_io = ReadBuffer(errors) + e = read_errors(data_io) + else: + e = [tuple(err) for err in errors["error_lines"]] + manager.add_stats(fresh_metas=1) + return m, e + + +def validate_meta( + meta: CacheMeta | None, id: str, path: str | None, ignore_all: bool, manager: BuildManager +) -> CacheMeta | None: + """Checks whether the cached AST of this module can be used. + + Returns: + None, if the cached AST is unusable. + Original meta, if mtime/size matched. + Meta with mtime updated to match source file, if hash/size matched but mtime/path didn't. + """ + # This requires two steps. The first one is obvious: we check that the module source file + # contents is the same as it was when the cache data file was created. The second one is not + # too obvious: we check that the cache data file mtime has not changed; it is needed because + # we use cache data file mtime to propagate information about changes in the dependencies. + + if meta is None: + manager.log(f"Metadata not found for {id}") + return None + + if meta.ignore_all and not ignore_all: + manager.log(f"Metadata abandoned for {id}: errors were previously ignored") + return None + + if manager.stats_enabled: + t0 = time.time() + bazel = manager.options.bazel + assert path is not None, "Internal error: meta was provided without a path" + if not manager.options.skip_cache_mtime_checks: + # Check data_file; assume if its mtime matches it's good. + try: + data_mtime = manager.getmtime(meta.data_file) + except OSError: + manager.log(f"Metadata abandoned for {id}: failed to stat data_file") + return None + if data_mtime != meta.data_mtime: + manager.log(f"Metadata abandoned for {id}: data cache is modified") + return None + + if bazel: + # Normalize path under bazel to make sure it isn't absolute + path = normpath(path, manager.options) + + st = manager.get_stat(path) + if st is None: + return None + if not stat.S_ISDIR(st.st_mode) and not stat.S_ISREG(st.st_mode): + manager.log(f"Metadata abandoned for {id}: file or directory {path} does not exist") + return None + + if manager.stats_enabled: + manager.add_stats(validate_stat_time=time.time() - t0) + + # When we are using a fine-grained cache, we want our initial + # build() to load all of the cache information and then do a + # fine-grained incremental update to catch anything that has + # changed since the cache was generated. We *don't* want to do a + # coarse-grained incremental rebuild, so we accept the cache + # metadata even if it doesn't match the source file. + # + # We still *do* the mtime/hash checks, however, to enable + # fine-grained mode to take advantage of the mtime-updating + # optimization when mtimes differ but hashes match. There is + # essentially no extra time cost to computing the hash here, since + # it will be cached and will be needed for finding changed files + # later anyways. + fine_grained_cache = manager.use_fine_grained_cache() + + size = st.st_size + # Bazel ensures the cache is valid. + if size != meta.size and not bazel and not fine_grained_cache: + manager.log(f"Metadata abandoned for {id}: file {path} has different size") + return None + + # Bazel ensures the cache is valid. + mtime = 0 if bazel else int(st.st_mtime) + if not bazel and (mtime != meta.mtime or path != meta.path): + if manager.quickstart_state and path in manager.quickstart_state: + # If the mtime and the size of the file recorded in the quickstart dump matches + # what we see on disk, we know (assume) that the hash matches the quickstart + # data as well. If that hash matches the hash in the metadata, then we know + # the file is up to date even though the mtime is wrong, without needing to hash it. + qmtime, qsize, qhash = manager.quickstart_state[path] + if int(qmtime) == mtime and qsize == size and qhash == meta.hash: + manager.log(f"Metadata fresh (by quickstart) for {id}: file {path}") + meta.mtime = mtime + meta.path = path + return meta + + t0 = time.time() + try: + # dir means it is a namespace package + if stat.S_ISDIR(st.st_mode): + source_hash = "" + else: + source_hash = manager.fscache.hash_digest(path) + except (OSError, UnicodeDecodeError, DecodeError): + return None + manager.add_stats(validate_hash_time=time.time() - t0) + if source_hash != meta.hash: + if fine_grained_cache: + manager.log(f"Using stale metadata for {id}: file {path}") + return meta + else: + manager.log(f"Metadata abandoned for {id}: file {path} has different hash") + return None + else: + if manager.stats_enabled: + t0 = time.time() + # Optimization: update mtime and path (otherwise, this mismatch will reappear). + meta.mtime = mtime + meta.path = path + meta.size = size + meta.options = options_snapshot(id, manager) + meta_file, _, _ = get_cache_names(id, path, manager.options) + if manager.logging_enabled: + manager.log( + "Updating mtime for {}: file {}, meta {}, mtime {}".format( + id, path, meta_file, meta.mtime + ) + ) + write_cache_meta(meta, manager, meta_file) + if manager.stats_enabled: + t1 = time.time() + manager.add_stats( + validate_update_time=time.time() - t1, validate_munging_time=t1 - t0 + ) + return meta + + # It's a match on (id, path, size, hash, mtime). + if manager.logging_enabled: + manager.log(f"Metadata fresh for {id}: file {path}") + return meta + + +def compute_hash(text: str) -> str: + # We use a crypto hash instead of the builtin hash(...) function + # because the output of hash(...) can differ between runs due to + # hash randomization (enabled by default in Python 3.3). See the + # note in + # https://docs.python.org/3/reference/datamodel.html#object.__hash__. + return hash_digest(text.encode("utf-8")) + + +def write_cache( + id: str, + path: str, + tree: MypyFile, + dependencies: list[str], + suppressed: list[str], + suppressed_deps_opts: bytes, + imports_ignored: dict[int, list[str]], + dep_prios: list[int], + dep_lines: list[int], + old_interface_hash: bytes, + trans_dep_hash: bytes, + source_hash: str, + ignore_all: bool, + manager: BuildManager, +) -> tuple[bytes, tuple[CacheMeta, str] | None]: + """Write cache files for a module. + + Note that this mypy's behavior is still correct when any given + write_cache() call is replaced with a no-op, so error handling + code that bails without writing anything is okay. + + Args: + id: module ID + path: module path + tree: the fully checked module data + dependencies: module IDs on which this module depends + suppressed: module IDs which were suppressed as dependencies + dep_prios: priorities (parallel array to dependencies) + dep_lines: import line locations (parallel array to dependencies) + old_interface_hash: the hash from the previous version of the data cache file + source_hash: the hash of the source code + ignore_all: the ignore_all flag for this module + manager: the build manager (for pyversion, log/trace) + + Returns: + A tuple containing the interface hash and inner tuple with CacheMeta + that should be written and path to cache file (inner tuple may be None, + if the cache data could not be written). + """ + metastore = manager.metastore + # For Bazel we use relative paths and zero mtimes. + bazel = manager.options.bazel + + # Obtain file paths. + meta_file, data_file, _ = get_cache_names(id, path, manager.options) + manager.log(f"Writing {id} {path} {meta_file} {data_file}") + + # Update tree.path so that in bazel mode it's made relative (since + # sometimes paths leak out). + if bazel: + tree.path = path + + plugin_data = manager.plugin.report_config_data(ReportConfigContext(id, path, is_check=False)) + + # Serialize data and analyze interface + if manager.options.fixed_format_cache: + data_io = WriteBuffer() + tree.write(data_io) + data_bytes = data_io.getvalue() + else: + data = tree.serialize() + data_bytes = json_dumps(data, manager.options.debug_cache) + interface_hash = hash_digest_bytes(data_bytes + json_dumps(plugin_data)) + + # Obtain and set up metadata + st = manager.get_stat(path) + if st is None: + manager.log(f"Cannot get stat for {path}") + # Remove apparently-invalid cache files. + # (This is purely an optimization.) + for filename in [data_file, meta_file]: + try: + os.remove(filename) + except OSError: + pass + # Still return the interface hash we computed. + return interface_hash, None + + # Write data cache file, if applicable + # Note that for Bazel we don't record the data file's mtime. + if old_interface_hash == interface_hash: + manager.trace(f"Interface for {id} is unchanged") + else: + manager.trace(f"Interface for {id} has changed") + if not metastore.write(data_file, data_bytes): + # Most likely the error is the replace() call + # (see https://github.com/python/mypy/issues/3215). + manager.log(f"Error writing cache data file {data_file}") + # Let's continue without writing the meta file. Analysis: + # If the replace failed, we've changed nothing except left + # behind an extraneous temporary file; if the replace + # worked but the getmtime() call failed, the meta file + # will be considered invalid on the next run because the + # data_mtime field won't match the data file's mtime. + # Both have the effect of slowing down the next run a + # little bit due to an out-of-date cache file. + return interface_hash, None + + try: + data_mtime = manager.getmtime(data_file) + except OSError: + manager.log(f"Error in os.stat({data_file!r}), skipping cache write") + return interface_hash, None + + mtime = 0 if bazel else int(st.st_mtime) + size = st.st_size + # Note that the options we store in the cache are the options as + # specified by the command line/config file and *don't* reflect + # updates made by inline config directives in the file. This is + # important, or otherwise the options would never match when + # verifying the cache. + assert source_hash is not None + meta = CacheMeta( + id=id, + path=path, + mtime=mtime, + size=size, + hash=source_hash, + dependencies=dependencies, + data_mtime=data_mtime, + data_file=data_file, + suppressed=suppressed, + imports_ignored=imports_ignored, + options=options_snapshot(id, manager), + suppressed_deps_opts=suppressed_deps_opts, + dep_prios=dep_prios, + dep_lines=dep_lines, + interface_hash=interface_hash, + trans_dep_hash=trans_dep_hash, + version_id=manager.version_id, + ignore_all=ignore_all, + plugin_data=plugin_data, + # This one will be filled by the caller. + dep_hashes=[], + ) + return interface_hash, (meta, meta_file) + + +def write_cache_meta(meta: CacheMeta, manager: BuildManager, meta_file: str) -> None: + # Write meta cache file + metastore = manager.metastore + if manager.options.fixed_format_cache: + data_io = WriteBuffer() + meta.write(data_io) + # Prefix with both low- and high-level cache format versions for future validation. + # TODO: switch to something like librt.internal.write_byte() if this is slow. + meta_bytes = bytes([cache_version(), CACHE_VERSION]) + data_io.getvalue() + else: + meta_dict = meta.serialize() + meta_bytes = json_dumps(meta_dict, manager.options.debug_cache) + if not metastore.write(meta_file, meta_bytes): + # Most likely the error is the replace() call + # (see https://github.com/python/mypy/issues/3215). + # The next run will simply find the cache entry out of date. + manager.log(f"Error writing cache meta file {meta_file}") + + +def write_errors_file( + meta_file: str, error_lines: list[ErrorTuple], manager: BuildManager +) -> None: + # Write errors cache file + errors_file = get_errors_name(meta_file) + metastore = manager.metastore + if manager.options.fixed_format_cache: + data_io = WriteBuffer() + write_errors(data_io, error_lines) + meta_bytes = data_io.getvalue() + else: + # Some generic JSON helpers require top-level to be a dict. + meta_bytes = json_dumps({"error_lines": error_lines}, manager.options.debug_cache) + if not metastore.write(errors_file, meta_bytes): + manager.log(f"Error writing errors file {errors_file}") + + +"""Dependency manager. + +Design +====== + +Ideally +------- + +A. Collapse cycles (each SCC -- strongly connected component -- + becomes one "supernode"). + +B. Topologically sort nodes based on dependencies. + +C. Process from leaves towards roots. + +Wrinkles +-------- + +a. Need to parse source modules to determine dependencies. + +b. Processing order for modules within an SCC. + +c. Must order mtimes of files to decide whether to re-process; depends + on clock never resetting. + +d. from P import M; checks filesystem whether module P.M exists in + filesystem. + +e. Race conditions, where somebody modifies a file while we're + processing. Solved by using a FileSystemCache. + + +Steps +----- + +1. For each explicitly given module find the source file location. + +2. For each such module load and check the cache metadata, and decide + whether it's valid. + +3. Now recursively (or iteratively) find dependencies and add those to + the graph: + + - for cached nodes use the list of dependencies from the cache + metadata (this will be valid even if we later end up re-parsing + the same source); + + - for uncached nodes parse the file and process all imports found, + taking care of (a) above. + +Step 3 should also address (d) above. + +Once step 3 terminates we have the entire dependency graph, and for +each module we've either loaded the cache metadata or parsed the +source code. (However, we may still need to parse those modules for +which we have cache metadata but that depend, directly or indirectly, +on at least one module for which the cache metadata is stale.) + +Now we can execute steps A-C from the first section. Finding SCCs for +step A shouldn't be hard; there's a recipe here: +https://code.activestate.com/recipes/578507/. There's also a plethora +of topsort recipes, e.g. https://code.activestate.com/recipes/577413/. + +For single nodes, processing is simple. If the node was cached, we +deserialize the cache data and fix up cross-references. Otherwise, we +do semantic analysis followed by type checking. Once we (re-)processed +an SCC we check whether its interface (symbol table) is still fresh +(matches previous cached value). If it is not, we consider dependent SCCs +stale so that they need to be re-parsed as well. + +Note on indirect dependencies: normally dependencies are determined from +imports, but since our interfaces are "opaque" (i.e. symbol tables can +contain cross-references as well as types identified by name), these are not +enough. We *must* also add "indirect" dependencies from symbols and types to +their definitions. For this purpose, we record all accessed symbols during +semantic analysis, and after we finished processing a module, we traverse its +type map, and for each type we find (transitively) on which named types it +depends. + +Import cycles +------------- + +Finally we have to decide how to handle (b), import cycles. Here +we'll need a modified version of the original state machine +(build.py), but we only need to do this per SCC, and we won't have to +deal with changes to the list of nodes while we're processing it. + +If all nodes in the SCC have valid cache metadata and all dependencies +outside the SCC are still valid, we can proceed as follows: + + 1. Load cache data for all nodes in the SCC. + + 2. Fix up cross-references for all nodes in the SCC. + +Otherwise, the simplest (but potentially slow) way to proceed is to +invalidate all cache data in the SCC and re-parse all nodes in the SCC +from source. We can do this as follows: + + 1. Parse source for all nodes in the SCC. + + 2. Semantic analysis for all nodes in the SCC. + + 3. Type check all nodes in the SCC. + +(If there are more passes the process is the same -- each pass should +be done for all nodes before starting the next pass for any nodes in +the SCC.) + +We could process the nodes in the SCC in any order. For sentimental +reasons, I've decided to process them in the reverse order in which we +encountered them when originally constructing the graph. That's how +the old build.py deals with cycles, and at least this reproduces the +previous implementation more accurately. + +Can we do better than re-parsing all nodes in the SCC when any of its +dependencies are out of date? It's doubtful. The optimization +mentioned at the end of the previous section would require re-parsing +and type-checking a node and then comparing its symbol table to the +cached data; but because the node is part of a cycle we can't +technically type-check it until the semantic analysis of all other +nodes in the cycle has completed. (This is an important issue because +Dropbox has a very large cycle in production code. But I'd like to +deal with it later.) + +Additional wrinkles +------------------- + +During implementation more wrinkles were found. + +- When a submodule of a package (e.g. x.y) is encountered, the parent + package (e.g. x) must also be loaded, but it is not strictly a + dependency. See State.add_ancestors() below. +""" + + +class SuppressionReason: + NOT_FOUND: Final = 1 + SKIPPED: Final = 2 + + +class ModuleNotFound(Exception): + """Control flow exception to signal that a module was not found.""" + + def __init__(self, reason: int = SuppressionReason.NOT_FOUND) -> None: + self.reason = reason + + +@final +class State: + """The state for a module. + + The source is only used for the -c command line option; in that + case path is None. Otherwise, source is None and path isn't. + """ + + manager: BuildManager + order_counter: ClassVar[int] = 0 + order: int # Order in which modules were encountered + id: str # Fully qualified module name + path: str | None = None # Path to module source + abspath: str | None = None # Absolute path to module source + xpath: str # Path or '' + source: str | None = None # Module source code + source_hash: str | None = None # Hash calculated based on the source code + meta_source_hash: str | None = None # Hash of the source given in the meta, if any + meta: CacheMeta | None = None + tree: MypyFile | None = None + # We keep both a list and set of dependencies. A set because it makes it efficient to + # prevent duplicates and the list because I am afraid of changing the order of + # iteration over dependencies. + # They should be managed with add_dependency and suppress_dependency. + dependencies: list[str] # Modules directly imported by the module + dependencies_set: set[str] # The same but as a set for deduplication purposes + suppressed: list[str] # Suppressed/missing dependencies + suppressed_set: set[str] # Suppressed/missing dependencies + priorities: dict[str, int] + + # Map each dependency to the line number where it is first imported + dep_line_map: dict[str, int] + + # Map from dependency id to its last observed interface hash + dep_hashes: dict[str, bytes] + + # List of errors reported for this file last time. + error_lines: list[ErrorTuple] + + # Parent package, its parent, etc. + ancestors: list[str] | None = None + + # List of (path, line number) tuples giving context for import + import_context: list[tuple[str, int]] + + # If caller_state is set, the line number in the caller where the import occurred + caller_line = 0 + + # Contains a hash of the public interface in incremental mode + interface_hash: bytes = b"" + + # Hash of import structure that this module depends on. It is not 1:1 with + # transitive dependencies set, but if two hashes are equal, transitive + # dependencies are guaranteed to be identical. Some expensive checks can be + # skipped if this value is unchanged for a module. + trans_dep_hash: bytes = b"" + + # Options, specialized for this file + options: Options + + # Whether to ignore all errors + ignore_all = False + + # Errors reported before semantic analysis, to allow fine-grained + # mode to keep reporting them. + early_errors: list[ErrorInfo] + + # Type checker used for checking this file. Use type_checker() for + # access and to construct this on demand. + _type_checker: TypeChecker | None = None + + fine_grained_deps_loaded = False + + # Cumulative time spent on this file, in microseconds (for profiling stats) + time_spent_us: int = 0 + + # Per-line type-checking time (cumulative time spent type-checking expressions + # on a given source code line). + per_line_checking_time_ns: dict[int, int] + + # Rough estimate of how much time it would take to process this file. Currently, + # we use file size as a proxy for complexity. + size_hint: int + + # Mapping from line number to type ignore codes on this line (for imports only). + imports_ignored: dict[int, list[str]] + + @staticmethod + def new_state( + id: str | None, + path: str | None, + source: str | None, + manager: BuildManager, + caller_state: State | None = None, + caller_line: int = 0, + ancestor_for: State | None = None, + root_source: bool = False, + # If `temporary` is True, this State is being created to just + # quickly parse/load the tree, without an intention to further + # process it. With this flag, any changes to external state as well + # as error reporting should be avoided. + temporary: bool = False, + ) -> State: + if not temporary: + assert id or path or source is not None, "Neither id, path nor source given" + State.order_counter += 1 + if caller_state: + import_context = caller_state.import_context.copy() + import_context.append((caller_state.xpath, caller_line)) + else: + import_context = [] + id = id or "__main__" + options = manager.options.clone_for_module(id) + manager.import_options[id] = options.dep_import_options() + + ignore_all = False + if not path and source is None: + assert id is not None + try: + path, follow_imports = find_module_and_diagnose( + manager, + id, + options, + caller_state, + caller_line, + ancestor_for, + root_source, + skip_diagnose=temporary, + ) + except ModuleNotFound as exc: + if not temporary: + manager.missing_modules[id] = exc.reason + raise + if follow_imports == "silent": + ignore_all = True + elif path and is_silent_import_module(manager, path) and not root_source: + ignore_all = True + + meta = None + interface_hash = b"" + meta_source_hash = None + if path and source is None and manager.cache_enabled: + meta, error_lines = find_cache_meta(id, path, manager) + # TODO: Get mtime if not cached. + if meta is not None: + interface_hash = meta.interface_hash + meta_source_hash = meta.hash + if path and source is None and manager.fscache.isdir(path): + source = "" + + if manager.stats_enabled: + t0 = time.time() + meta = validate_meta(meta, id, path, ignore_all, manager) + if manager.stats_enabled: + manager.add_stats(validate_meta_time=time.time() - t0) + + if meta: + # Make copies, since we may modify these and want to + # compare them to the originals later. + dependencies = list(meta.dependencies) + suppressed = list(meta.suppressed) + all_deps = dependencies + suppressed + assert len(all_deps) == len(meta.dep_prios) + priorities = {id: pri for id, pri in zip(all_deps, meta.dep_prios)} + assert len(all_deps) == len(meta.dep_lines) + dep_line_map = {id: line for id, line in zip(all_deps, meta.dep_lines)} + assert len(meta.dep_hashes) == len(meta.dependencies) + dep_hashes = {k: v for (k, v) in zip(meta.dependencies, meta.dep_hashes)} + # Only copy `error_lines` if the module is not silently imported. + error_lines = [] if ignore_all else error_lines + imports_ignored = meta.imports_ignored + else: + dependencies = [] + suppressed = [] + priorities = {} + dep_line_map = {} + dep_hashes = {} + error_lines = [] + imports_ignored = {} + + state = State( + manager=manager, + order=State.order_counter, + id=id, + path=path, + source=source, + options=options, + ignore_all=ignore_all, + caller_line=caller_line, + import_context=import_context, + meta=meta, + interface_hash=interface_hash, + meta_source_hash=meta_source_hash, + dependencies=dependencies, + suppressed=suppressed, + priorities=priorities, + dep_line_map=dep_line_map, + dep_hashes=dep_hashes, + error_lines=error_lines, + imports_ignored=imports_ignored, + ) + + if meta: + if temporary: + state.load_tree(temporary=True) + if not manager.use_fine_grained_cache(): + # Special case: if there were a previously missing package imported here, + # and it is not present, then we need to re-calculate dependencies. + # This is to support patterns like this: + # from missing_package import missing_module # type: ignore + # At first mypy doesn't know that `missing_module` is a module + # (it may be a variable, a class, or a function), so it is not added to + # suppressed dependencies. Therefore, when the package with module is added, + # we need to re-calculate dependencies. + # NOTE: see comment below for why we skip this in fine-grained mode. + if exist_added_packages(suppressed, manager): + state.parse_file() # This is safe because the cache is anyway stale. + state.compute_dependencies() + # This is an inverse to the situation above. If we had an import like this: + # from pkg import mod + # and then mod was deleted, we need to force recompute dependencies, to + # decide whether we should still depend on a missing pkg.mod. Otherwise, + # the above import is indistinguishable from something like this: + # import pkg + # import pkg.mod + if exist_removed_submodules(dependencies, manager): + state.parse_file() # Same as above, the current state is stale anyway. + state.compute_dependencies() + state.size_hint = meta.size + else: + # When doing a fine-grained cache load, pretend we only + # know about modules that have cache information and defer + # handling new modules until the fine-grained update. + if manager.use_fine_grained_cache(): + manager.log(f"Deferring module to fine-grained update {path} ({id})") + raise ModuleNotFound + + # Parse the file (and then some) to get the dependencies. + state.parse_file(temporary=temporary) + state.compute_dependencies() + if manager.workers and state.tree: + # We don't need imports in coordinator process anymore, we parse only to + # compute dependencies. + state.tree.imports = [] + del manager.ast_cache[id] + + return state + + def __init__( + self, + manager: BuildManager, + order: int, + id: str, + path: str | None, + source: str | None, + options: Options, + ignore_all: bool, + caller_line: int, + import_context: list[tuple[str, int]], + meta: CacheMeta | None, + interface_hash: bytes, + meta_source_hash: str | None, + dependencies: list[str], + suppressed: list[str], + priorities: dict[str, int], + dep_line_map: dict[str, int], + dep_hashes: dict[str, bytes], + error_lines: list[ErrorTuple], + imports_ignored: dict[int, list[str]], + size_hint: int = 0, + ) -> None: + self.manager = manager + self.order = order + self.id = id + self.path = path + if path: + # Avoid calling os.abspath, since it makes a getcwd() syscall, which is slow + if os.path.isabs(path): + self.abspath = path + else: + self.abspath = os.path.normpath(os_path_join(manager.cwd, path)) + self.xpath = path or "" + self.source = source + self.options = options + self.ignore_all = ignore_all + self.caller_line = caller_line + self.import_context = import_context + self.meta = meta + self.interface_hash = interface_hash + self.meta_source_hash = meta_source_hash + self.dependencies = dependencies + self.suppressed = suppressed + self.dependencies_set = set(dependencies) + self.suppressed_set = set(suppressed) + self.priorities = priorities + self.dep_line_map = dep_line_map + self.dep_hashes = dep_hashes + self.error_lines = error_lines + self.per_line_checking_time_ns = collections.defaultdict(int) + self.early_errors = [] + self._type_checker = None + self.add_ancestors() + self.imports_ignored = imports_ignored + self.size_hint = size_hint + # Pre-computed opaque value of suppressed_deps_opts() used + # to minimize amount of data sent to parallel workers. + self.known_suppressed_deps_opts: bytes | None = None + + def write(self, buf: WriteBuffer) -> None: + """Serialize State for sending to build worker. + + Note that unlike write() methods for most other classes, this one is + not idempotent. We erase some bulky values that should either be not needed + for processing by the worker, or can be re-created from other data relatively + quickly. These are: + * self.meta: workers will call self.reload_meta() anyway. + * self.options: can be restored with Options.clone_for_module(). + * self.error_lines: fresh errors are handled by the coordinator. + """ + write_int(buf, self.order) + write_str(buf, self.id) + write_str_opt(buf, self.path) + write_str_opt(buf, self.source) # mostly for mypy -c '' + write_bool(buf, self.ignore_all) + write_int(buf, self.caller_line) + write_tag(buf, LIST_GEN) + write_int_bare(buf, len(self.import_context)) + for path, line in self.import_context: + write_str(buf, path) + write_int(buf, line) + write_bytes(buf, self.interface_hash) + write_str_opt(buf, self.meta_source_hash) + write_str_list(buf, self.dependencies) + write_str_list(buf, self.suppressed) + # TODO: we can possibly serialize these dictionaries in a more compact way. + # Most keys in the dictionaries should be the same, so we can write them once. + write_tag(buf, DICT_STR_GEN) + write_int_bare(buf, len(self.priorities)) + for mod_id, prio in self.priorities.items(): + write_str_bare(buf, mod_id) + write_int(buf, prio) + write_tag(buf, DICT_STR_GEN) + write_int_bare(buf, len(self.dep_line_map)) + for mod_id, line in self.dep_line_map.items(): + write_str_bare(buf, mod_id) + write_int(buf, line) + write_tag(buf, DICT_STR_GEN) + write_int_bare(buf, len(self.dep_hashes)) + for mod_id, dep_hash in self.dep_hashes.items(): + write_str_bare(buf, mod_id) + write_bytes(buf, dep_hash) + write_int(buf, self.size_hint) + + @classmethod + def read(cls, buf: ReadBuffer, manager: BuildManager) -> State: + order = read_int(buf) + id = read_str(buf) + path = read_str_opt(buf) + source = read_str_opt(buf) + ignore_all = read_bool(buf) + caller_line = read_int(buf) + assert read_tag(buf) == LIST_GEN + import_context = [(read_str(buf), read_int(buf)) for _ in range(read_int_bare(buf))] + interface_hash = read_bytes(buf) + meta_source_hash = read_str_opt(buf) + dependencies = read_str_list(buf) + suppressed = read_str_list(buf) + assert read_tag(buf) == DICT_STR_GEN + priorities = {read_str_bare(buf): read_int(buf) for _ in range(read_int_bare(buf))} + assert read_tag(buf) == DICT_STR_GEN + dep_line_map = {read_str_bare(buf): read_int(buf) for _ in range(read_int_bare(buf))} + assert read_tag(buf) == DICT_STR_GEN + dep_hashes = {read_str_bare(buf): read_bytes(buf) for _ in range(read_int_bare(buf))} + return cls( + manager=manager, + order=order, + id=id, + path=path, + source=source, + # The caller must call clone_for_module(). + options=manager.options, + ignore_all=ignore_all, + caller_line=caller_line, + import_context=import_context, + meta=None, + interface_hash=interface_hash, + meta_source_hash=meta_source_hash, + dependencies=dependencies, + suppressed=suppressed, + priorities=priorities, + dep_line_map=dep_line_map, + dep_hashes=dep_hashes, + error_lines=[], + imports_ignored={}, + size_hint=read_int(buf), + ) + + def reload_meta(self) -> None: + """Force reload of cache meta. + + This is used by parallel checking workers to update shared information + that may have changed after initial graph loading. Currently, this is only + the interface hash. + """ + assert self.path is not None + self.meta, _ = find_cache_meta(self.id, self.path, self.manager, skip_validation=True) + assert self.meta is not None + self.interface_hash = self.meta.interface_hash + + def add_ancestors(self) -> None: + if self.path is not None: + _, name = os.path.split(self.path) + base, _ = os.path.splitext(name) + if "." in base: + # This is just a weird filename, don't add anything + self.ancestors = [] + return + # All parent packages are new ancestors. + ancestors = [] + parent = self.id + while "." in parent: + parent, _ = parent.rsplit(".", 1) + ancestors.append(parent) + self.ancestors = ancestors + + def is_fresh(self) -> bool: + """Return whether the cache data for this file is fresh.""" + # NOTE: self.dependencies may differ from + # self.meta.dependencies when a dependency is dropped due to + # suppression by silent mode. However, when a suppressed + # dependency is added back we find out later in the process. + # Additionally, we need to verify that import following options are + # same for suppressed dependencies, even if the first check is OK. + return ( + self.meta is not None + and self.dependencies == self.meta.dependencies + and ( + self.options.fine_grained_incremental + or self.meta.suppressed_deps_opts == self.suppressed_deps_opts() + ) + ) + + def mark_as_rechecked(self) -> None: + """Marks this module as having been fully re-analyzed by the type-checker.""" + self.manager.rechecked_modules.add(self.id) + + def mark_interface_stale(self) -> None: + """Marks this module as having a stale public interface, and discards the cache data.""" + self.manager.stale_modules.add(self.id) + + def check_blockers(self) -> None: + """Raise CompileError if a blocking error is detected.""" + if self.manager.errors.is_blockers(): + self.manager.log("Bailing due to blocking errors") + self.manager.errors.raise_error() + + @contextlib.contextmanager + def wrap_context(self, check_blockers: bool = True) -> Iterator[None]: + """Temporarily change the error import context to match this state. + + Also report an internal error if an unexpected exception was raised + and raise an exception on a blocking error, unless + check_blockers is False. Skipping blocking error reporting is used + in the semantic analyzer so that we can report all blocking errors + for a file (across multiple targets) to maintain backward + compatibility. + """ + save_import_context = self.manager.errors.import_context() + self.manager.errors.set_import_context(self.import_context) + try: + yield + except CompileError: + raise + except Exception as err: + report_internal_error( + err, + self.path, + 0, + self.manager.errors, + self.options, + self.manager.stdout, + self.manager.stderr, + ) + self.manager.errors.set_import_context(save_import_context) + # TODO: Move this away once we've removed the old semantic analyzer? + if check_blockers: + self.check_blockers() + + def load_fine_grained_deps(self) -> dict[str, set[str]]: + return self.manager.load_fine_grained_deps(self.id) + + def load_tree(self, temporary: bool = False) -> None: + if self.manager.parallel_worker: + assert self.path is not None + _, data_file, _ = get_cache_names(self.id, self.path, self.manager.options) + else: + assert ( + self.meta is not None + ), "Internal error: this method must be called only for cached modules" + data_file = self.meta.data_file + + data: bytes | dict[str, Any] | None + if self.options.fixed_format_cache: + data = _load_ff_file(data_file, self.manager, "Could not load tree: ", None) + else: + data = _load_json_file(data_file, self.manager, "Load tree ", "Could not load tree: ") + if data is None: + return + + t0 = time.time() + # TODO: Assert data file wasn't changed. + if isinstance(data, bytes): + data_io = ReadBuffer(data) + self.tree = MypyFile.read(data_io) + else: + self.tree = MypyFile.deserialize(data) + t1 = time.time() + self.manager.add_stats(deserialize_time=t1 - t0) + if not temporary: + self.manager.modules[self.id] = self.tree + self.manager.add_stats(fresh_trees=1) + + def fix_cross_refs(self) -> None: + assert self.tree is not None, "Internal error: method must be called on parsed file only" + # We need to set allow_missing when doing a fine-grained cache + # load because we need to gracefully handle missing modules. + fixup_module(self.tree, self.manager.modules, self.options.use_fine_grained_cache) + + # Methods for processing modules from source code. + + def parse_file(self, *, temporary: bool = False, raw_data: FileRawData | None = None) -> None: + """Parse file and run first pass of semantic analysis. + + Everything done here is local to the file. Don't depend on imported + modules in any way. Also record module dependencies based on imports. + """ + if self.tree is not None: + # The file was already parsed (in __init__()). + return + + manager = self.manager + + # Can we reuse a previously parsed AST? This avoids redundant work in daemon. + cached = self.id in manager.ast_cache + modules = manager.modules + if not cached: + manager.log(f"Parsing {self.xpath} ({self.id})") + else: + manager.log(f"Using cached AST for {self.xpath} ({self.id})") + + t0 = time_ref() + + with self.wrap_context(): + source = self.source + if self.path and source is None: + try: + path = manager.maybe_swap_for_shadow_path(self.path) + source = decode_python_encoding(manager.fscache.read(path)) + self.source_hash = manager.fscache.hash_digest(path) + except OSError as ioerr: + # ioerr.strerror differs for os.stat failures between Windows and + # other systems, but os.strerror(ioerr.errno) does not, so we use that. + # (We want the error messages to be platform-independent so that the + # tests have predictable output.) + assert ioerr.errno is not None + raise CompileError( + [ + "mypy: error: cannot read file '{}': {}".format( + self.path.replace(os.getcwd() + os.sep, ""), + os.strerror(ioerr.errno), + ) + ], + module_with_blocker=self.id, + ) from ioerr + except (UnicodeDecodeError, DecodeError) as decodeerr: + if self.path.endswith(".pyd"): + err = f"{self.path}: error: stubgen does not support .pyd files" + else: + err = f"{self.path}: error: cannot decode file: {str(decodeerr)}" + raise CompileError([err], module_with_blocker=self.id) from decodeerr + elif self.path and self.manager.fscache.isdir(self.path): + source = "" + self.source_hash = "" + else: + assert source is not None + self.source_hash = compute_hash(source) + + self.parse_inline_configuration(source) + self.check_for_invalid_options() + + self.size_hint = len(source) + if not cached: + ignore_errors = self.ignore_all or self.options.ignore_errors + self.tree = manager.parse_file( + self.id, + self.xpath, + source, + ignore_errors=ignore_errors, + options=self.options, + raw_data=raw_data, + ) + else: + # Reuse a cached AST + self.tree = manager.ast_cache[self.id][0] + + self.time_spent_us += time_spent_us(t0) + + if not cached: + # Make a copy of any errors produced during parse time so that + # fine-grained mode can repeat them when the module is + # reprocessed. + self.early_errors = list(manager.errors.error_info_map.get(self.xpath, [])) + self.semantic_analysis_pass1() + else: + self.early_errors = manager.ast_cache[self.id][1] + + if not temporary: + modules[self.id] = self.tree + self.check_blockers() + + manager.ast_cache[self.id] = (self.tree, self.early_errors) + self.setup_errors() + + def setup_errors(self) -> None: + assert self.tree is not None + self.manager.errors.set_file_ignored_lines( + self.xpath, self.tree.ignored_lines, self.ignore_all or self.options.ignore_errors + ) + self.manager.errors.set_skipped_lines(self.xpath, self.tree.skipped_lines) + + def parse_inline_configuration(self, source: str) -> None: + """Check for inline mypy: options directive and parse them.""" + flags = get_mypy_comments(source) + if flags: + changes, config_errors = parse_mypy_comments(flags, self.options) + self.options = self.options.apply_changes(changes) + self.manager.errors.set_file(self.xpath, self.id, self.options) + for lineno, error in config_errors: + self.manager.error(lineno, error) + + def check_for_invalid_options(self) -> None: + if self.options.mypyc and not self.options.strict_bytes: + self.manager.errors.set_file(self.xpath, self.id, options=self.options) + self.manager.error( + None, "Option --strict-bytes cannot be disabled when using mypyc", blocker=True + ) + + def semantic_analysis_pass1(self) -> None: + """Perform pass 1 of semantic analysis, which happens immediately after parsing. + + This pass can't assume that any other modules have been processed yet. + """ + options = self.options + assert self.tree is not None + + t0 = time_ref() + + # Do the first pass of semantic analysis: analyze the reachability + # of blocks and import statements. We must do this before + # processing imports, since this may mark some import statements as + # unreachable. + # + # TODO: This should not be considered as a semantic analysis + # pass -- it's an independent pass. + if not options.native_parser: + analyzer = SemanticAnalyzerPreAnalysis() + with self.wrap_context(): + analyzer.visit_file(self.tree, self.xpath, self.id, options) + # TODO: Do this while constructing the AST? + self.tree.names = SymbolTable() + if not self.tree.is_stub: + if not self.options.allow_redefinition_new: + # Perform some low-key variable renaming when assignments can't + # widen inferred types + self.tree.accept(LimitedVariableRenameVisitor()) + if options.allow_redefinition_old: + # Perform more renaming across the AST to allow variable redefinitions + self.tree.accept(VariableRenameVisitor()) + self.time_spent_us += time_spent_us(t0) + + def add_dependency(self, dep: str) -> None: + if dep not in self.dependencies_set: + self.dependencies.append(dep) + self.dependencies_set.add(dep) + if dep in self.suppressed_set: + self.suppressed.remove(dep) + self.suppressed_set.remove(dep) + + def suppress_dependency(self, dep: str) -> None: + if dep in self.dependencies_set: + self.dependencies.remove(dep) + self.dependencies_set.remove(dep) + if dep not in self.suppressed_set: + self.suppressed.append(dep) + self.suppressed_set.add(dep) + + def compute_dependencies(self) -> None: + """Compute a module's dependencies after parsing it. + + This is used when we parse a file that we didn't have + up-to-date cache information for. When we have an up-to-date + cache, we just use the cached info. + """ + manager = self.manager + assert self.tree is not None + + # Compute (direct) dependencies. + # Add all direct imports (this is why we needed the first pass). + # Also keep track of each dependency's source line. + # Missing dependencies will be moved from dependencies to + # suppressed when they fail to be loaded in load_graph. + + self.dependencies = [] + self.dependencies_set = set() + self.suppressed = [] + self.suppressed_set = set() + self.priorities = {} # id -> priority + self.dep_line_map = {} # id -> line + self.dep_hashes = {} + dep_entries = manager.all_imported_modules_in_file( + self.tree + ) + self.manager.plugin.get_additional_deps(self.tree) + for pri, id, line in dep_entries: + self.priorities[id] = min(pri, self.priorities.get(id, PRI_ALL)) + if id == self.id: + continue + self.add_dependency(id) + if id not in self.dep_line_map: + self.dep_line_map[id] = line + import_lines = self.dep_line_map.values() + self.imports_ignored = { + line: codes for line, codes in self.tree.ignored_lines.items() if line in import_lines + } + # Every module implicitly depends on builtins. + if self.id != "builtins": + self.add_dependency("builtins") + if self.tree.uses_template_strings: + self.add_dependency("string.templatelib") + + self.check_blockers() # Can fail due to bogus relative imports + + def type_check_first_pass(self) -> None: + if self.options.semantic_analysis_only: + return + t0 = time_ref() + with self.wrap_context(): + self.type_checker().check_first_pass() + self.time_spent_us += time_spent_us(t0) + + def type_checker(self) -> TypeChecker: + if not self._type_checker: + assert self.tree is not None, "Internal error: must be called on parsed file only" + manager = self.manager + self._type_checker = TypeChecker( + manager.errors, + manager.modules, + self.options, + self.tree, + self.xpath, + manager.plugin, + self.per_line_checking_time_ns, + ) + return self._type_checker + + def type_map(self) -> dict[Expression, Type]: + # We can extract the master type map directly since at this + # point no temporary type maps can be active. + assert len(self.type_checker()._type_maps) == 1 + return self.type_checker()._type_maps[0] + + def type_check_second_pass(self) -> bool: + if self.options.semantic_analysis_only: + return False + t0 = time_ref() + with self.wrap_context(): + result = self.type_checker().check_second_pass() + self.time_spent_us += time_spent_us(t0) + return result + + def detect_possibly_undefined_vars(self) -> None: + assert self.tree is not None, "Internal error: method must be called on parsed file only" + if self.tree.is_stub: + # We skip stub files because they aren't actually executed. + return + manager = self.manager + manager.errors.set_file(self.xpath, self.tree.fullname, options=self.options) + if manager.errors.is_error_code_enabled( + codes.POSSIBLY_UNDEFINED + ) or manager.errors.is_error_code_enabled(codes.USED_BEFORE_DEF): + self.tree.accept( + PossiblyUndefinedVariableVisitor( + MessageBuilder(manager.errors, manager.modules), + self.type_map(), + self.options, + self.tree.names, + ) + ) + + def finish_passes(self) -> None: + assert self.tree is not None, "Internal error: method must be called on parsed file only" + manager = self.manager + if self.options.semantic_analysis_only: + return + t0 = time_ref() + with self.wrap_context(): + # Some tests (and tools) want to look at the set of all types. + options = manager.options + if options.export_types: + manager.all_types.update(self.type_map()) + + # We should always patch indirect dependencies, even in full (non-incremental) builds, + # because the cache still may be written, and it must be correct. + self.patch_indirect_dependencies( + # Two possible sources of indirect dependencies: + # * Symbols not directly imported in this module but accessed via an attribute + # or via a re-export (vast majority of these recorded in semantic analysis). + # * For each expression type we need to record definitions of type components + # since "meaning" of the type may be updated when definitions are updated. + self.tree.module_refs | self.type_checker().module_refs, + set(self.type_map().values()), + ) + + if self.options.dump_inference_stats: + dump_type_stats( + self.tree, + self.xpath, + modules=self.manager.modules, + inferred=True, + typemap=self.type_map(), + ) + manager.report_file(self.tree, self.type_map(), self.options) + + self.update_fine_grained_deps(self.manager.fg_deps) + + if manager.options.export_ref_info: + write_undocumented_ref_info( + self, manager.metastore, manager.options, self.type_map() + ) + + self.free_state() + if not manager.options.fine_grained_incremental and not manager.options.preserve_asts: + free_tree(self.tree) + self.tree.defs.clear() + self.time_spent_us += time_spent_us(t0) + + def free_state(self) -> None: + if self._type_checker: + self._type_checker.reset() + self._type_checker = None + + def patch_indirect_dependencies(self, module_refs: set[str], types: set[Type]) -> None: + assert self.ancestors is not None + existing_deps = set(self.dependencies + self.suppressed + self.ancestors) + existing_deps.add(self.id) + + encountered = self.manager.indirection_detector.find_modules(types) | module_refs + for dep in sorted(encountered - existing_deps): + if dep not in self.manager.modules: + continue + self.add_dependency(dep) + self.priorities[dep] = PRI_INDIRECT + + def compute_fine_grained_deps(self) -> dict[str, set[str]]: + assert self.tree is not None + if self.id in ("builtins", "typing", "types", "sys", "_typeshed"): + # We don't track changes to core parts of typeshed -- the + # assumption is that they are only changed as part of mypy + # updates, which will invalidate everything anyway. These + # will always be processed in the initial non-fine-grained + # build. Other modules may be brought in as a result of an + # fine-grained increment, and we may need these + # dependencies then to handle cyclic imports. + return {} + from mypy.server.deps import get_dependencies # Lazy import to speed up startup + + return get_dependencies( + target=self.tree, + type_map=self.type_map(), + python_version=self.options.python_version, + options=self.manager.options, + ) + + def update_fine_grained_deps(self, deps: dict[str, set[str]]) -> None: + options = self.manager.options + if options.cache_fine_grained or options.fine_grained_incremental: + from mypy.server.deps import merge_dependencies # Lazy import to speed up startup + + merge_dependencies(self.compute_fine_grained_deps(), deps) + type_state.update_protocol_deps(deps) + + def suppressed_deps_opts(self) -> bytes: + if not self.suppressed: + return b"" + if self.known_suppressed_deps_opts: + return self.known_suppressed_deps_opts + buf = WriteBuffer() + import_options = self.manager.import_options + for dep in sorted(self.suppressed): + # Using .get() is a bit defensive, but just in case we have a bug elsewhere + # (e.g. in the daemon), it is better to get a stale cache than a crash. + reason = self.manager.missing_modules.get(dep, SuppressionReason.NOT_FOUND) + if self.priorities.get(dep) != PRI_INDIRECT: + write_str_bare(buf, dep) + write_bytes_bare(buf, import_options[dep]) + write_int_bare(buf, reason) + return buf.getvalue() + + def write_cache(self) -> tuple[CacheMeta, str] | None: + assert self.tree is not None, "Internal error: method must be called on parsed file only" + # We don't support writing cache files in fine-grained incremental mode. + if ( + not self.path + or self.options.cache_dir == os.devnull + or self.options.fine_grained_incremental + ): + if self.options.debug_serialize: + try: + if self.manager.options.fixed_format_cache: + data = WriteBuffer() + self.tree.write(data) + else: + self.tree.serialize() + except Exception: + print(f"Error serializing {self.id}", file=self.manager.stdout) + raise # Propagate to display traceback + return None + dep_prios = self.dependency_priorities() + dep_lines = self.dependency_lines() + assert self.source_hash is not None + assert len(set(self.dependencies)) == len( + self.dependencies + ), f"Duplicates in dependencies list for {self.id} ({self.dependencies})" + new_interface_hash, meta_tuple = write_cache( + self.id, + self.path, + self.tree, + list(self.dependencies), + list(self.suppressed), + self.suppressed_deps_opts(), + self.imports_ignored, + dep_prios, + dep_lines, + self.interface_hash, + self.trans_dep_hash, + self.source_hash, + self.ignore_all, + self.manager, + ) + if new_interface_hash == self.interface_hash: + self.manager.log(f"Cached module {self.id} has same interface") + else: + self.manager.log(f"Cached module {self.id} has changed interface") + self.mark_interface_stale() + self.interface_hash = new_interface_hash + return meta_tuple + + def verify_dependencies(self, suppressed_only: bool = False) -> None: + """Report errors for import targets in modules that don't exist. + + If suppressed_only is set, only check suppressed dependencies. + """ + manager = self.manager + assert self.ancestors is not None + # Strip out indirect dependencies. See comment in build.load_graph(). + if suppressed_only: + all_deps = [dep for dep in self.suppressed if self.priorities.get(dep) != PRI_INDIRECT] + else: + dependencies = [ + dep + for dep in self.dependencies + self.suppressed + if self.priorities.get(dep) != PRI_INDIRECT + ] + all_deps = dependencies + self.ancestors + for dep in all_deps: + if dep in manager.modules: + continue + options = manager.options.clone_for_module(dep) + if options.ignore_missing_imports: + continue + line = self.dep_line_map.get(dep, 1) + try: + if dep in self.ancestors: + state: State | None = None + ancestor: State | None = self + else: + state, ancestor = self, None + # Called just for its side effects of producing diagnostics. + find_module_and_diagnose( + manager, + dep, + options, + caller_state=state, + caller_line=line, + ancestor_for=ancestor, + ) + except (ModuleNotFound, CompileError): + # Swallow up any ModuleNotFounds or CompilerErrors while generating + # a diagnostic. CompileErrors may get generated in + # fine-grained mode when an __init__.py is deleted, if a module + # that was in that package has targets reprocessed before + # it is renamed. + pass + + def dependency_priorities(self) -> list[int]: + return [self.priorities.get(dep, PRI_HIGH) for dep in self.dependencies + self.suppressed] + + def dependency_lines(self) -> list[int]: + return [self.dep_line_map.get(dep, 1) for dep in self.dependencies + self.suppressed] + + def generate_unused_ignore_notes(self) -> None: + if ( + self.options.warn_unused_ignores + or codes.UNUSED_IGNORE in self.options.enabled_error_codes + ) and codes.UNUSED_IGNORE not in self.options.disabled_error_codes: + # We only need this for the daemon, regular incremental does this unconditionally. + if self.meta and self.options.fine_grained_incremental: + self.verify_dependencies(suppressed_only=True) + is_typeshed = self.tree is not None and self.tree.is_typeshed_file(self.options) + self.manager.errors.generate_unused_ignore_errors(self.xpath, is_typeshed) + + def generate_ignore_without_code_notes(self) -> None: + if self.manager.errors.is_error_code_enabled(codes.IGNORE_WITHOUT_CODE): + is_typeshed = self.tree is not None and self.tree.is_typeshed_file(self.options) + self.manager.errors.generate_ignore_without_code_errors( + self.xpath, self.options.warn_unused_ignores, is_typeshed + ) + + +# Module import and diagnostic glue + + +def find_module_and_diagnose( + manager: BuildManager, + id: str, + options: Options, + caller_state: State | None = None, + caller_line: int = 0, + ancestor_for: State | None = None, + root_source: bool = False, + skip_diagnose: bool = False, +) -> tuple[str, str]: + """Find a module by name, respecting follow_imports and producing diagnostics. + + If the module is not found, then the ModuleNotFound exception is raised. + + Args: + id: module to find + options: the options for the module being loaded + caller_state: the state of the importing module, if applicable + caller_line: the line number of the import + ancestor_for: the child module this is an ancestor of, if applicable + root_source: whether this source was specified on the command line + skip_diagnose: skip any error diagnosis and reporting (but ModuleNotFound is + still raised if the module is missing) + + The specified value of follow_imports for a module can be overridden + if the module is specified on the command line or if it is a stub, + so we compute and return the "effective" follow_imports of the module. + + Returns a tuple containing (file path, target's effective follow_imports setting) + """ + result = find_module_with_reason(id, manager) + if isinstance(result, str): + # For non-stubs, look at options.follow_imports: + # - normal (default) -> fully analyze + # - silent -> analyze but silence errors + # - skip -> don't analyze, make the type Any + follow_imports = options.follow_imports + if ( + root_source # Honor top-level modules + or ( + result.endswith(".pyi") # Stubs are always normal + and not options.follow_imports_for_stubs # except when they aren't + ) + or id in CORE_BUILTIN_MODULES # core is always normal + ): + follow_imports = "normal" + if skip_diagnose: + pass + elif follow_imports == "silent": + # Still import it, but silence non-blocker errors. + manager.log(f"Silencing {result} ({id})") + elif follow_imports == "skip" or follow_imports == "error": + # In 'error' mode, produce special error messages. + if id not in manager.missing_modules: + manager.log(f"Skipping {result} ({id})") + if follow_imports == "error": + if ancestor_for: + skipping_ancestor(manager, id, result, ancestor_for) + else: + skipping_module(manager, caller_line, caller_state, id, result) + reason = SuppressionReason.SKIPPED + if options.ignore_missing_imports: + # Performance optimization: when we are ignoring imports, there is no + # difference for the caller between skipped import and actually missing one. + reason = SuppressionReason.NOT_FOUND + raise ModuleNotFound(reason=reason) + if is_silent_import_module(manager, result) and not root_source: + follow_imports = "silent" + return result, follow_imports + else: + # Could not find a module. Typically, the reason is a + # misspelled module name, missing stub, module not in + # search path or the module has not been installed. + + ignore_missing_imports = options.ignore_missing_imports + + # Don't honor a global (not per-module) ignore_missing_imports + # setting for modules that used to have bundled stubs, as + # otherwise updating mypy can silently result in new false + # negatives. (Unless there are stubs, but they are incomplete.) + global_ignore_missing_imports = manager.options.ignore_missing_imports + if ( + is_module_from_legacy_bundled_package(id) + and global_ignore_missing_imports + and not options.ignore_missing_imports_per_module + and result is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED + ): + ignore_missing_imports = False + + if skip_diagnose: + raise ModuleNotFound + if caller_state: + if not (ignore_missing_imports or in_partial_package(id, manager)): + module_not_found(manager, caller_line, caller_state, id, result) + raise ModuleNotFound + elif root_source: + # If we can't find a root source it's always fatal. + # TODO: This might hide non-fatal errors from + # root sources processed earlier. + raise CompileError([f"mypy: can't find module '{id}'"]) + else: + raise ModuleNotFound + + +def exist_added_packages(suppressed: list[str], manager: BuildManager) -> bool: + """Find if there are any newly added packages that were previously suppressed. + + Exclude everything not in build for follow-imports=skip. + """ + for dep in suppressed: + if dep in manager.source_set.source_modules: + # We don't need to add any special logic for this. If a module + # is added to build, importers will be invalidated by normal mechanism. + continue + path = find_module_simple(dep, manager) + if not path: + continue + options = manager.options.clone_for_module(dep) + # Technically this is not 100% correct, since we can have: + # from pkg import mod + # with + # [mypy-pkg] + # follow-import = silent + # [mypy-pkg.mod] + # follow-imports = normal + # But such cases are extremely rare, and this allows us to avoid + # massive performance impact in much more common situations. + if options.follow_imports in ("skip", "error") and ( + not path.endswith(".pyi") or options.follow_imports_for_stubs + ): + continue + if os.path.basename(path) in ("__init__.py", "__init__.pyi"): + return True + return False + + +def exist_removed_submodules(dependencies: list[str], manager: BuildManager) -> bool: + """Find if there are any submodules of packages that are now missing. + + This is conceptually an inverse of exist_added_packages(). + """ + dependencies_set = set(dependencies) + for dep in dependencies: + if "." not in dep: + continue + if dep in manager.source_set.source_modules: + # We still know it is definitely a module. + continue + direct_ancestor, _ = dep.rsplit(".", maxsplit=1) + if direct_ancestor not in dependencies_set: + continue + if find_module_simple(dep, manager) is None: + return True + return False + + +def find_module_simple(id: str, manager: BuildManager) -> str | None: + """Find a filesystem path for module `id` or `None` if not found.""" + if manager.stats_enabled: + t0 = time.time() + x = manager.find_module_cache.find_module(id, fast_path=True) + if manager.stats_enabled: + manager.add_stats(find_module_time=time.time() - t0, find_module_calls=1) + if isinstance(x, ModuleNotFoundReason): + return None + return x + + +def find_module_with_reason(id: str, manager: BuildManager) -> ModuleSearchResult: + """Find a filesystem path for module `id` or the reason it can't be found.""" + if manager.stats_enabled: + t0 = time.time() + x = manager.find_module_cache.find_module(id, fast_path=False) + if manager.stats_enabled: + manager.add_stats(find_module_time=time.time() - t0, find_module_calls=1) + return x + + +def in_partial_package(id: str, manager: BuildManager) -> bool: + """Check if a missing module can potentially be a part of a package. + + This checks if there is any existing parent __init__.pyi stub that + defines a module-level __getattr__ (a.k.a. partial stub package). + """ + while "." in id: + ancestor, _ = id.rsplit(".", 1) + if ancestor in manager.known_partial_packages: + return manager.known_partial_packages[ancestor] + if ancestor in manager.modules: + ancestor_mod: MypyFile | None = manager.modules[ancestor] + else: + # Ancestor is not in build, try quickly if we can find it. + try: + ancestor_st = State.new_state( + id=ancestor, path=None, source=None, manager=manager, temporary=True + ) + except (ModuleNotFound, CompileError): + ancestor_mod = None + else: + ancestor_mod = ancestor_st.tree + # We will not need this anymore. + ancestor_st.tree = None + if ancestor_mod is not None: + # Bail out soon, complete subpackage found + manager.known_partial_packages[ancestor] = ancestor_mod.is_partial_stub_package + return ancestor_mod.is_partial_stub_package + id = ancestor + return False + + +def module_not_found( + manager: BuildManager, + line: int, + caller_state: State, + target: str, + reason: ModuleNotFoundReason, +) -> None: + errors = manager.errors + save_import_context = errors.import_context() + errors.set_import_context(caller_state.import_context) + errors.set_file(caller_state.xpath, caller_state.id, caller_state.options) + errors.set_file_ignored_lines( + caller_state.xpath, + caller_state.tree.ignored_lines if caller_state.tree else caller_state.imports_ignored, + caller_state.ignore_all or caller_state.options.ignore_errors, + ) + if target == "builtins": + manager.error( + line, "Cannot find 'builtins' module. Typeshed appears broken!", blocker=True + ) + errors.raise_error() + else: + daemon = manager.options.fine_grained_incremental + msg, notes = reason.error_message_templates(daemon) + if reason == ModuleNotFoundReason.NOT_FOUND: + code = codes.IMPORT_NOT_FOUND + elif ( + reason == ModuleNotFoundReason.FOUND_WITHOUT_TYPE_HINTS + or reason == ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED + ): + code = codes.IMPORT_UNTYPED + else: + code = codes.IMPORT + manager.error(line, msg.format(module=target), code=code) + + dist = stub_distribution_name(target) + for note in notes: + if "{stub_dist}" in note: + assert dist is not None + note = note.format(stub_dist=dist) + manager.note(line, note, only_once=True, code=code) + if reason is ModuleNotFoundReason.APPROVED_STUBS_NOT_INSTALLED: + assert dist is not None + manager.missing_stub_packages.add(dist) + errors.set_import_context(save_import_context) + + +def skipping_module( + manager: BuildManager, line: int, caller_state: State | None, id: str, path: str +) -> None: + """Produce an error for an import ignored due to --follow_imports=error""" + assert caller_state, (id, path) + save_import_context = manager.errors.import_context() + manager.errors.set_import_context(caller_state.import_context) + manager.errors.set_file(caller_state.xpath, caller_state.id, manager.options) + manager.error(line, f'Import of "{id}" ignored') + manager.note( + line, "(Using --follow-imports=error, module not passed on command line)", only_once=True + ) + manager.errors.set_import_context(save_import_context) + + +def skipping_ancestor(manager: BuildManager, id: str, path: str, ancestor_for: State) -> None: + """Produce an error for an ancestor ignored due to --follow_imports=error""" + # TODO: Read the path (the __init__.py file) and return + # immediately if it's empty or only contains comments. + # But beware, some package may be the ancestor of many modules, + # so we'd need to cache the decision. + manager.errors.set_import_context([]) + manager.errors.set_file(ancestor_for.xpath, ancestor_for.id, manager.options) + manager.error(None, f'Ancestor package "{id}" ignored', only_once=True) + manager.note( + None, "(Using --follow-imports=error, submodule passed on command line)", only_once=True + ) + + +def log_configuration(manager: BuildManager, sources: list[BuildSource]) -> None: + """Output useful configuration information to LOG and TRACE""" + + if not manager.logging_enabled: + return + + config_file = manager.options.config_file + if config_file: + config_file = os.path.abspath(config_file) + + manager.log() + configuration_vars = [ + ("Mypy Version", __version__), + ("Config File", (config_file or "Default")), + ("Configured Executable", manager.options.python_executable or "None"), + ("Current Executable", sys.executable), + ("Cache Dir", manager.options.cache_dir), + ("Compiled", str(not __file__.endswith(".py"))), + ("Exclude", manager.options.exclude), + ] + + for conf_name, conf_value in configuration_vars: + manager.log(f"{conf_name + ':':24}{conf_value}") + + for source in sources: + manager.log(f"{'Found source:':24}{source}") + + # Complete list of searched paths can get very long, put them under TRACE + for path_type, paths in manager.search_paths.asdict().items(): + if not paths: + manager.trace(f"No {path_type}") + continue + + manager.trace(f"{path_type}:") + + for pth in paths: + manager.trace(f" {pth}") + + +# The driver + + +def dispatch(sources: list[BuildSource], manager: BuildManager, stdout: TextIO) -> Graph: + log_configuration(manager, sources) + + t0 = time.time() + + # We disable GC while loading the graph as a performance optimization for + # cold-cache runs. The parsed ASTs are trees, and therefore should not have any + # reference cycles. This is an important optimization, since we create a lot of + # new objects while parsing files. + global initial_gc_freeze_done + if ( + not manager.options.test_env + and platform.python_implementation() == "CPython" + and not initial_gc_freeze_done + ): + gc.disable() + graph = load_graph(sources, manager) + + # This is a kind of unfortunate hack to work around some of fine-grained's + # fragility: if we have loaded less than 50% of the specified files from + # cache in fine-grained cache mode, load the graph again honestly. + # In this case, we just turn the cache off entirely, so we don't need + # to worry about some files being loaded and some from cache and so + # that fine-grained mode never *writes* to the cache. + if manager.use_fine_grained_cache() and len(graph) < 0.50 * len(sources): + manager.log("Redoing load_graph without cache because too much was missing") + manager.cache_enabled = False + graph = load_graph(sources, manager) + + if ( + not manager.options.test_env + and platform.python_implementation() == "CPython" + and not initial_gc_freeze_done + ): + gc.freeze() + gc.unfreeze() + gc.enable() + initial_gc_freeze_done = True + + for id in graph: + manager.import_map[id] = graph[id].dependencies_set + + t1 = time.time() + manager.add_stats( + graph_size=len(graph), + stubs_found=sum(g.path is not None and g.path.endswith(".pyi") for g in graph.values()), + graph_load_time=(t1 - t0), + fm_cache_size=len(manager.find_module_cache.results), + ) + if not graph: + print("Nothing to do?!", file=stdout) + return graph + manager.log(f"Loaded graph with {len(graph)} nodes ({t1 - t0:.3f} sec)") + if manager.options.dump_graph: + dump_graph(graph, stdout) + return graph + + # Fine grained dependencies that didn't have an associated module in the build + # are serialized separately, so we read them after we load the graph. + # We need to read them both for running in daemon mode and if we are generating + # a fine-grained cache (so that we can properly update them incrementally). + # The `read_deps_cache` will also validate + # the deps cache against the loaded individual cache files. + if manager.options.cache_fine_grained or manager.use_fine_grained_cache(): + t2 = time.time() + fg_deps_meta = read_deps_cache(manager, graph) + manager.add_stats(load_fg_deps_time=time.time() - t2) + if fg_deps_meta is not None: + manager.fg_deps_meta = fg_deps_meta + elif manager.stats.get("fresh_metas", 0) > 0: + # Clear the stats so we don't infinite loop because of positive fresh_metas + manager.stats.clear() + # There were some cache files read, but no fine-grained dependencies loaded. + manager.log("Error reading fine-grained dependencies cache -- aborting cache load") + manager.cache_enabled = False + manager.log("Falling back to full run -- reloading graph...") + return dispatch(sources, manager, stdout) + + # If we are loading a fine-grained incremental mode cache, we + # don't want to do a real incremental reprocess of the + # graph---we'll handle it all later. + if not manager.use_fine_grained_cache(): + process_graph(graph, manager) + # Update plugins snapshot. + write_plugins_snapshot(manager) + manager.old_plugins_snapshot = manager.plugins_snapshot + if manager.options.cache_fine_grained or manager.options.fine_grained_incremental: + # If we are running a daemon or are going to write cache for further fine grained use, + # then we need to collect fine grained protocol dependencies. + # Since these are a global property of the program, they are calculated after we + # processed the whole graph. + type_state.add_all_protocol_deps(manager.fg_deps) + if not manager.options.fine_grained_incremental: + rdeps = generate_deps_for_cache(manager, graph) + write_deps_cache(rdeps, manager, graph) + + if manager.options.dump_deps: + # This speeds up startup a little when not using the daemon mode. + from mypy.server.deps import dump_all_dependencies + + dump_all_dependencies( + manager.modules, manager.all_types, manager.options.python_version, manager.options + ) + + return graph + + +class NodeInfo: + """Some info about a node in the graph of SCCs.""" + + def __init__(self, index: int, scc: list[str]) -> None: + self.node_id = "n%d" % index + self.scc = scc + self.sizes: dict[str, int] = {} # mod -> size in bytes + self.deps: dict[str, int] = {} # node_id -> pri + + def dumps(self) -> str: + """Convert to JSON string.""" + total_size = sum(self.sizes.values()) + return "[{}, {}, {},\n {},\n {}]".format( + json.dumps(self.node_id), + json.dumps(total_size), + json.dumps(self.scc), + json.dumps(self.sizes), + json.dumps(self.deps), + ) + + +def dump_timing_stats(path: str, graph: Graph) -> None: + """Dump timing stats for each file in the given graph.""" + with open(path, "w") as f: + for id in sorted(graph): + f.write(f"{id} {graph[id].time_spent_us}\n") + + +def dump_line_checking_stats(path: str, graph: Graph) -> None: + """Dump per-line expression type checking stats.""" + with open(path, "w") as f: + for id in sorted(graph): + if not graph[id].per_line_checking_time_ns: + continue + f.write(f"{id}:\n") + for line in sorted(graph[id].per_line_checking_time_ns): + line_time = graph[id].per_line_checking_time_ns[line] + f.write(f"{line:>5} {line_time/1000:8.1f}\n") + + +def dump_graph(graph: Graph, stdout: TextIO | None = None) -> None: + """Dump the graph as a JSON string to stdout. + + This copies some of the work by process_graph() + (sorted_components() and order_ascc()). + """ + stdout = stdout or sys.stdout + nodes = [] + sccs = sorted_components(graph) + for i, ascc in enumerate(sccs): + scc = order_ascc(graph, ascc.mod_ids) + node = NodeInfo(i, scc) + nodes.append(node) + inv_nodes = {} # module -> node_id + for node in nodes: + for mod in node.scc: + inv_nodes[mod] = node.node_id + for node in nodes: + for mod in node.scc: + state = graph[mod] + size = 0 + if state.path: + try: + size = os.path.getsize(state.path) + except OSError: + pass + node.sizes[mod] = size + for dep in state.dependencies: + if dep in state.priorities: + pri = state.priorities[dep] + if dep in inv_nodes: + dep_id = inv_nodes[dep] + if dep_id != node.node_id and ( + dep_id not in node.deps or pri < node.deps[dep_id] + ): + node.deps[dep_id] = pri + print("[" + ",\n ".join(node.dumps() for node in nodes) + "\n]", file=stdout) + + +def load_graph( + sources: list[BuildSource], + manager: BuildManager, + old_graph: Graph | None = None, + new_modules: list[State] | None = None, +) -> Graph: + """Given some source files, load the full dependency graph. + + If an old_graph is passed in, it is used as the starting point and + modified during graph loading. + + If a new_modules is passed in, any modules that are loaded are + added to the list. This is an argument and not a return value + so that the caller can access it even if load_graph fails. + + As this may need to parse files, this can raise CompileError in case + there are syntax errors. + """ + + graph: Graph = old_graph if old_graph is not None else {} + + # The deque is used to implement breadth-first traversal. + # TODO: Consider whether to go depth-first instead. This may + # affect the order in which we process files within import cycles. + new = new_modules if new_modules is not None else [] + entry_points: set[str] = set() + # Seed the graph with the initial root sources. + for bs in sources: + try: + st = State.new_state( + id=bs.module, + path=bs.path, + source=bs.text, + manager=manager, + root_source=not bs.followed, + ) + except ModuleNotFound: + continue + if st.id in graph: + manager.errors.set_file(st.xpath, st.id, manager.options) + manager.error( + None, + f'Duplicate module named "{st.id}" (also at "{graph[st.id].xpath}")', + blocker=True, + ) + resolution_note = f""" + See {MODULE_RESOLUTION_URL} for more info + Common resolutions include: + a) using `--exclude` to avoid checking one of them, + b) adding `__init__.py` somewhere, + c) using `--explicit-package-bases` or adjusting `MYPYPATH` + """ + manager.note_multiline(None, resolution_note) + manager.errors.raise_error() + graph[st.id] = st + new.append(st) + entry_points.add(bs.module) + + # Note: Running this each time could be slow in the daemon. If it's a problem, we + # can do more work to maintain this incrementally. + seen_files = {st.abspath: st for st in graph.values() if st.path} + + # Collect dependencies. We go breadth-first. + # More nodes might get added to new as we go, but that's fine. + for st in new: + assert st.ancestors is not None + # Strip out indirect dependencies. These will be dealt with + # when they show up as direct dependencies, and there's a + # scenario where they hurt: + # - Suppose A imports B and B imports C. + # - Suppose on the next round: + # - C is deleted; + # - B is updated to remove the dependency on C; + # - A is unchanged. + # - In this case A's cached *direct* dependencies are still valid + # (since direct dependencies reflect the imports found in the source) + # but A's cached *indirect* dependency on C is wrong. + dependencies = [dep for dep in st.dependencies if st.priorities.get(dep) != PRI_INDIRECT] + if not manager.use_fine_grained_cache(): + added = [dep for dep in st.suppressed if find_module_simple(dep, manager)] + else: + # During initial loading we don't care about newly added modules, + # they will be taken care of during fine-grained update. See also + # comment about this in `State.new_state()`. + added = [] + for dep in st.ancestors + dependencies + st.suppressed: + ignored = dep in st.suppressed_set and dep not in entry_points + if ignored and dep not in added: + manager.missing_modules[dep] = SuppressionReason.NOT_FOUND + # TODO: for now we skip this in the daemon as a performance optimization. + # This however creates a correctness issue, see #7777 and State.is_fresh(). + if not manager.use_fine_grained_cache() or manager.options.warn_unused_configs: + manager.import_options[dep] = manager.options.clone_for_module( + dep + ).dep_import_options() + elif dep not in graph: + try: + if dep in st.ancestors: + # TODO: Why not 'if dep not in st.dependencies' ? + # Ancestors don't have import context. + newst = State.new_state( + id=dep, path=None, source=None, manager=manager, ancestor_for=st + ) + else: + newst = State.new_state( + id=dep, + path=None, + source=None, + manager=manager, + caller_state=st, + caller_line=st.dep_line_map.get(dep, 1), + ) + except ModuleNotFound: + if dep in st.dependencies_set: + st.suppress_dependency(dep) + else: + if newst.path: + newst_path = newst.abspath + + if newst_path in seen_files: + manager.error( + None, + "Source file found twice under different module names: " + f'"{seen_files[newst_path].id}" and "{newst.id}"', + blocker=True, + ) + resolution_note = f""" + See {MODULE_RESOLUTION_URL} for more info + Common resolutions include: + a) adding `__init__.py` somewhere, + b) using `--explicit-package-bases` or adjusting `MYPYPATH` + """ + manager.note_multiline(None, resolution_note) + manager.errors.raise_error() + + seen_files[newst_path] = newst + + assert newst.id not in graph, newst.id + graph[newst.id] = newst + new.append(newst) + # There are two things we need to do after the initial load loop. One is up-suppress + # modules that are back in graph. We need to do this after the loop to cover edge cases + # like where a namespace package ancestor is shared by a typed and an untyped package. + for st in graph.values(): + for dep in st.suppressed.copy(): + if dep in graph: + st.add_dependency(dep) + manager.missing_modules.pop(dep, None) + # Second, in the initial loop we skip indirect dependencies, so to make indirect dependencies + # behave more consistently with regular ones, we suppress them manually here (when needed). + for st in graph.values(): + indirect = [dep for dep in st.dependencies if st.priorities.get(dep) == PRI_INDIRECT] + for dep in indirect: + if dep not in graph: + st.suppress_dependency(dep) + manager.plugin.set_modules(manager.modules) + manager.errors.global_watcher = False + return graph + + +def order_ascc_ex(graph: Graph, ascc: SCC) -> list[str]: + """Apply extra heuristics on top of order_ascc(). + + This should be used only for actual SCCs, not for "inner" SCCs + we create recursively during ordering of the SCC. Currently, this + has only some special handling for builtin SCC. + """ + scc = order_ascc(graph, ascc.mod_ids) + # Make the order of the SCC that includes 'builtins' and 'typing', + # among other things, predictable. Various things may break if + # the order changes. + if "builtins" in ascc.mod_ids: + scc = sorted(scc, reverse=True) + # If builtins is in the list, move it last. (This is a bit of + # a hack, but it's necessary because the builtins module is + # part of a small cycle involving at least {builtins, abc, + # typing}. Of these, builtins must be processed last or else + # some builtin objects will be incompletely processed.) + scc.remove("builtins") + scc.append("builtins") + return scc + + +def verify_transitive_deps(ascc: SCC, graph: Graph, manager: BuildManager) -> str | None: + """Verify all indirect dependencies of this SCC are still reachable via direct ones. + + Return first unreachable dependency id, or None. + """ + for id in ascc.mod_ids: + st = graph[id] + assert st.meta is not None, "Must be called on fresh SCCs only" + if st.trans_dep_hash == st.meta.trans_dep_hash: + # Import graph unchanged, skip this module. + continue + for dep in st.dependencies: + if st.priorities.get(dep) == PRI_INDIRECT: + dep_scc_id = manager.scc_by_mod_id[dep].id + if dep_scc_id == ascc.id: + continue + if not manager.is_transitive_scc_dep(ascc.id, dep_scc_id): + return dep + return None + + +def find_stale_sccs( + sccs: list[SCC], graph: Graph, manager: BuildManager +) -> tuple[list[SCC], list[SCC]]: + """Split a list of ready SCCs into stale and fresh. + + Fresh SCCs are those where: + * We have valid cache files for all modules in the SCC. + * There are no changes in dependencies (files removed from/added to the build). + * The interface hashes of dependencies matches those recorded in the cache. + * All indirect dependencies are still reachable via direct ones. + The first and second conditions are verified by is_fresh(). + """ + stale_sccs = [] + fresh_sccs = [] + for ascc in sccs: + stale_scc = {id for id in ascc.mod_ids if not graph[id].is_fresh()} + fresh = not stale_scc + + # Verify that interfaces of dependencies still present in graph are up-to-date (fresh). + stale_deps = set() + for id in ascc.mod_ids: + for dep in graph[id].dep_hashes: + if dep in graph and graph[dep].interface_hash != graph[id].dep_hashes[dep]: + stale_deps.add(dep) + fresh = fresh and not stale_deps + + # Verify the invariant that indirect dependencies are a subset of transitive direct + # dependencies. Note: the case where indirect dependency is removed from the graph + # completely is already handled above. + stale_indirect = None + if fresh: + stale_indirect = verify_transitive_deps(ascc, graph, manager) + if stale_indirect is not None: + fresh = False + + if manager.logging_enabled: + if fresh: + fresh_msg = "fresh" + elif stale_scc: + fresh_msg = "inherently stale" + if stale_scc != ascc.mod_ids: + fresh_msg += f" ({' '.join(sorted(stale_scc))})" + if stale_deps: + fresh_msg += f" with stale deps ({' '.join(sorted(stale_deps))})" + elif stale_deps: + fresh_msg = f"stale due to deps ({' '.join(sorted(stale_deps))})" + else: + assert stale_indirect is not None + fresh_msg = f"stale due to stale indirect dep(s): first {stale_indirect}" + scc_str = " ".join(ascc.mod_ids) + + if fresh: + if manager.tracing_enabled: + manager.trace(f"Found {fresh_msg} SCC ({scc_str})") + # If there is at most one file with errors we can skip the ordering to save time. + mods_with_errors = [id for id in ascc.mod_ids if graph[id].error_lines] + if len(mods_with_errors) <= 1: + scc = mods_with_errors + else: + # Use exactly the same order as for stale SCCs for stability. + scc = order_ascc_ex(graph, ascc) + for id in scc: + if graph[id].error_lines: + path = manager.errors.simplify_path(graph[id].xpath) + formatted = manager.errors.format_messages( + path, graph[id].error_lines, formatter=manager.error_formatter + ) + manager.flush_errors(path, formatted, False) + fresh_sccs.append(ascc) + else: + if manager.logging_enabled: + size = len(ascc.mod_ids) + if size == 1: + manager.log(f"Scheduling SCC singleton ({scc_str}) as {fresh_msg}") + else: + manager.log( + "Scheduling SCC of size %d (%s) as %s" % (size, scc_str, fresh_msg) + ) + stale_sccs.append(ascc) + return stale_sccs, fresh_sccs + + +def process_graph(graph: Graph, manager: BuildManager) -> None: + """Process everything in dependency order.""" + # Broadcast graph to workers before computing SCCs to save a bit of time. + # TODO: check if we can optimize by sending only part of the graph needed for given SCC. + # For example only send modules in the SCC and their dependencies. + graph_message = GraphMessage(graph=graph, missing_modules=manager.missing_modules) + buf = WriteBuffer() + graph_message.write(buf) + graph_data = buf.getvalue() + for worker in manager.workers: + AckMessage.read(receive(worker.conn)) + worker.conn.write_bytes(graph_data) + + sccs = sorted_components(graph) + manager.log( + "Found %d SCCs; largest has %d nodes" % (len(sccs), max(len(scc.mod_ids) for scc in sccs)) + ) + scc_by_id = {scc.id: scc for scc in sccs} + manager.scc_by_id = scc_by_id + manager.top_order = [scc.id for scc in sccs] + for scc in sccs: + for mod_id in scc.mod_ids: + manager.scc_by_mod_id[mod_id] = scc + + # Broadcast SCC structure to the parallel workers, since they don't compute it. + sccs_message = SccsDataMessage(sccs=sccs) + buf = WriteBuffer() + sccs_message.write(buf) + sccs_data = buf.getvalue() + for worker in manager.workers: + AckMessage.read(receive(worker.conn)) + worker.conn.write_bytes(sccs_data) + for worker in manager.workers: + AckMessage.read(receive(worker.conn)) + + manager.free_workers = set(range(manager.options.num_workers)) + + # Prime the ready list with leaf SCCs (that have no dependencies). + ready = [] + not_ready = set() + for scc in sccs: + if not scc.deps: + ready.append(scc) + else: + not_ready.add(scc) + + still_working = False + while ready or not_ready or still_working: + stale, fresh = find_stale_sccs(ready, graph, manager) + if stale: + for scc in stale: + for id in scc.mod_ids: + graph[id].mark_as_rechecked() + manager.submit(graph, stale) + still_working = True + # We eagerly walk over fresh SCCs to reach as many stale SCCs as soon + # as possible. Only when there are no fresh SCCs, we wait on scheduled stale ones. + # This strategy, similar to a naive strategy in minesweeper game, will allow us + # to leverage parallelism as much as possible. + if fresh: + done = fresh + else: + done, still_working, results = manager.wait_for_done(graph) + # Expose the results of type-checking by workers. For in-process + # type-checking this is already done and results should be empty here. + if not manager.workers: + assert not results + for id, (interface_hash, errors) in results.items(): + new_hash = bytes.fromhex(interface_hash) + if new_hash != graph[id].interface_hash: + graph[id].mark_interface_stale() + graph[id].interface_hash = new_hash + manager.flush_errors(manager.errors.simplify_path(graph[id].xpath), errors, False) + ready = [] + for done_scc in done: + for dependent in done_scc.direct_dependents: + scc_by_id[dependent].not_ready_deps.discard(done_scc.id) + if not scc_by_id[dependent].not_ready_deps: + not_ready.remove(scc_by_id[dependent]) + ready.append(scc_by_id[dependent]) + manager.trace(f"Transitive deps cache size: {sys.getsizeof(manager.transitive_deps_cache)}") + + +def order_ascc(graph: Graph, ascc: AbstractSet[str], pri_max: int = PRI_INDIRECT) -> list[str]: + """Come up with the ideal processing order within an SCC. + + Using the priorities assigned by all_imported_modules_in_file(), + try to reduce the cycle to a DAG, by omitting arcs representing + dependencies of lower priority. + + In the simplest case, if we have A <--> B where A has a top-level + "import B" (medium priority) but B only has the reverse "import A" + inside a function (low priority), we turn the cycle into a DAG by + dropping the B --> A arc, which leaves only A --> B. + + If all arcs have the same priority, we fall back to sorting by + reverse global order (the order in which modules were first + encountered). + + The algorithm is recursive, as follows: when as arcs of different + priorities are present, drop all arcs of the lowest priority, + identify SCCs in the resulting graph, and apply the algorithm to + each SCC thus found. The recursion is bounded because at each + recursion the spread in priorities is (at least) one less. + + In practice there are only a few priority levels (less than a + dozen) and in the worst case we just carry out the same algorithm + for finding SCCs N times. Thus, the complexity is no worse than + the complexity of the original SCC-finding algorithm -- see + strongly_connected_components() below for a reference. + """ + if len(ascc) == 1: + return list(ascc) + pri_spread = set() + for id in ascc: + state = graph[id] + for dep in state.dependencies: + if dep in ascc: + pri = state.priorities.get(dep, PRI_HIGH) + if pri < pri_max: + pri_spread.add(pri) + if len(pri_spread) == 1: + # Filtered dependencies are uniform -- order by global order. + return sorted(ascc, key=lambda id: -graph[id].order) + pri_max = max(pri_spread) + sccs = sorted_components_inner(graph, ascc, pri_max) + # The recursion is bounded by the len(pri_spread) check above. + return [s for ss in sccs for s in order_ascc(graph, ss, pri_max)] + + +def process_fresh_modules(graph: Graph, modules: list[str], manager: BuildManager) -> None: + """Process the modules in one group of modules from their cached data. + + This can be used to process an SCC of modules. This involves loading the tree (i.e. + module symbol tables) from cache file and then fixing cross-references in the symbols. + """ + t0 = time.time() + for id in modules: + graph[id].load_tree() + t1 = time.time() + for id in modules: + graph[id].fix_cross_refs() + t2 = time.time() + manager.add_stats(process_fresh_time=t2 - t0, load_tree_time=t1 - t0) + + +def process_stale_scc( + graph: Graph, ascc: SCC, manager: BuildManager, from_cache: set[str] | None = None +) -> dict[str, tuple[str, list[str]]]: + """Process the modules in one SCC from source code.""" + # First verify if all transitive dependencies are loaded in the current process. + t0 = time.time() + missing_sccs = set() + sccs_to_find = ascc.deps.copy() + while sccs_to_find: + dep_scc = sccs_to_find.pop() + if dep_scc in manager.done_sccs or dep_scc in missing_sccs: + continue + missing_sccs.add(dep_scc) + sccs_to_find.update(manager.scc_by_id[dep_scc].deps) + + if missing_sccs: + # Load missing SCCs from cache. + # TODO: speed-up ordering if this causes problems for large builds. + fresh_sccs_to_load = [ + manager.scc_by_id[sid] for sid in manager.top_order if sid in missing_sccs + ] + + if manager.parallel_worker: + # Update cache metas as well, cache data is loaded below + # in process_fresh_modules(). + for prev_scc in fresh_sccs_to_load: + for mod_id in prev_scc.mod_ids: + graph[mod_id].reload_meta() + + manager.log(f"Processing {len(fresh_sccs_to_load)} fresh SCCs") + if ( + not manager.options.test_env + and platform.python_implementation() == "CPython" + # Parallel workers perform loading in many smaller "pieces", so we + # should repeat the GC hack multiple times to actually benefit from it. + and (manager.gc_freeze_cycles < MAX_GC_FREEZE_CYCLES or manager.parallel_worker) + ): + # When deserializing cache we create huge amount of new objects, so even + # with our generous GC thresholds, GC is still doing a lot of pointless + # work searching for garbage. So, we temporarily disable it when + # processing fresh SCCs, and then move all the new objects to the oldest + # generation with the freeze()/unfreeze() trick below. This is arguably + # a hack, but it gives huge performance wins for large third-party + # libraries, like torch. + gc.collect(generation=1) + gc.collect(generation=0) + gc.disable() + for prev_scc in fresh_sccs_to_load: + manager.done_sccs.add(prev_scc.id) + process_fresh_modules(graph, sorted(prev_scc.mod_ids), manager) + if ( + not manager.options.test_env + and platform.python_implementation() == "CPython" + and (manager.gc_freeze_cycles < MAX_GC_FREEZE_CYCLES or manager.parallel_worker) + ): + manager.gc_freeze_cycles += 1 + gc.freeze() + gc.unfreeze() + gc.enable() + + t1 = time.time() + # Process the SCC in stable order. + scc = order_ascc_ex(graph, ascc) + + t2 = time.time() + stale = scc + for id in stale: + # Re-generate import errors in case this module was loaded from the cache. + # Deserialized states all have meta=None, so the caller should specify + # explicitly which of them are from cache. + if graph[id].meta or from_cache and id in from_cache: + graph[id].verify_dependencies(suppressed_only=True) + # We may already have parsed the module, or not. + # If the former, parse_file() is a no-op. + graph[id].parse_file() + if "typing" in scc: + # For historical reasons we need to manually add typing aliases + # for built-in generic collections, see docstring of + # SemanticAnalyzerPass2.add_builtin_aliases for details. + typing_mod = graph["typing"].tree + assert typing_mod, "The typing module was not parsed" + mypy.semanal_main.semantic_analysis_for_scc(graph, scc, manager.errors) + + t3 = time.time() + # Track what modules aren't yet done, so we can finish them as soon + # as possible, saving memory. + unfinished_modules = set(stale) + for id in stale: + graph[id].type_check_first_pass() + if not graph[id].type_checker().deferred_nodes: + unfinished_modules.discard(id) + graph[id].detect_possibly_undefined_vars() + graph[id].finish_passes() + + while unfinished_modules: + for id in stale: + if id not in unfinished_modules: + continue + if not graph[id].type_check_second_pass(): + unfinished_modules.discard(id) + graph[id].detect_possibly_undefined_vars() + graph[id].finish_passes() + for id in stale: + graph[id].generate_unused_ignore_notes() + graph[id].generate_ignore_without_code_notes() + + t4 = time.time() + # Flush errors, and write cache in two phases: first data files, then meta files. + meta_tuples = {} + errors_by_id = {} + formatted_by_id = {} + for id in stale: + if graph[id].xpath not in manager.errors.ignored_files: + errors = manager.errors.file_messages(graph[id].xpath) + formatted = manager.errors.format_messages( + graph[id].xpath, errors, formatter=manager.error_formatter + ) + manager.flush_errors(manager.errors.simplify_path(graph[id].xpath), formatted, False) + errors_by_id[id] = errors + formatted_by_id[id] = formatted + meta_tuples[id] = graph[id].write_cache() + for id in stale: + meta_tuple = meta_tuples[id] + if meta_tuple is None: + continue + meta, meta_file = meta_tuple + meta.dep_hashes = [graph[dep].interface_hash for dep in graph[id].dependencies] + write_cache_meta(meta, manager, meta_file) + write_errors_file(meta_file, errors_by_id.get(id, []), manager) + manager.done_sccs.add(ascc.id) + manager.add_stats( + load_missing_time=t1 - t0, + order_scc_time=t2 - t1, + semanal_time=t3 - t2, + type_check_time=t4 - t3, + flush_and_cache_time=time.time() - t4, + ) + scc_result = {} + for id in scc: + scc_result[id] = graph[id].interface_hash.hex(), formatted_by_id.get(id, []) + return scc_result + + +def prepare_sccs_full( + raw_sccs: Iterator[set[str]], edges: dict[str, list[str]] +) -> dict[SCC, set[SCC]]: + """Turn raw SCC sets into SCC objects and build dependency graph for SCCs.""" + sccs = [SCC(raw_scc) for raw_scc in raw_sccs] + scc_map = {} + for scc in sccs: + for id in scc.mod_ids: + scc_map[id] = scc + scc_deps_map: dict[SCC, set[SCC]] = {} + for scc in sccs: + for id in scc.mod_ids: + scc_deps_map.setdefault(scc, set()).update(scc_map[dep] for dep in edges[id]) + for scc in sccs: + # Remove trivial dependency on itself. + scc_deps_map[scc].discard(scc) + for dep_scc in scc_deps_map[scc]: + scc.deps.add(dep_scc.id) + scc.not_ready_deps.add(dep_scc.id) + return scc_deps_map + + +def sorted_components(graph: Graph) -> list[SCC]: + """Return the graph's SCCs, topologically sorted by dependencies. + + The sort order is from leaves (nodes without dependencies) to + roots (nodes on which no other nodes depend). + """ + # Compute SCCs. + vertices = set(graph) + edges = {id: deps_filtered(graph, vertices, id, PRI_INDIRECT) for id in vertices} + scc_dep_map = prepare_sccs_full(strongly_connected_components(vertices, edges), edges) + # Topsort. + res = [] + for ready in topsort(scc_dep_map): + # Sort the sets in ready by reversed smallest State.order. Examples: + # + # - If ready is [{x}, {y}], x.order == 1, y.order == 2, we get + # [{y}, {x}]. + # + # - If ready is [{a, b}, {c, d}], a.order == 1, b.order == 3, + # c.order == 2, d.order == 4, the sort keys become [1, 2] + # and the result is [{c, d}, {a, b}]. + sorted_ready = sorted(ready, key=lambda scc: -min(graph[id].order for id in scc.mod_ids)) + for scc in sorted_ready: + scc.size_hint = sum(graph[mid].size_hint for mid in scc.mod_ids) + for dep in scc_dep_map[scc]: + dep.direct_dependents.append(scc.id) + # We compute dependencies hash here since we know no direct + # dependencies will be added or suppressed after this point. + trans_dep_hash = transitive_dep_hash(scc, graph) + for id in scc.mod_ids: + graph[id].trans_dep_hash = trans_dep_hash + res.extend(sorted_ready) + return res + + +def sorted_components_inner( + graph: Graph, vertices: AbstractSet[str], pri_max: int +) -> list[AbstractSet[str]]: + """Simplified version of sorted_components() to work with sub-graphs. + + This doesn't create SCC objects, and operates with raw sets. This function + also allows filtering dependencies to take into account when building SCCs. + This is used for heuristic ordering of modules within actual SCCs. + """ + edges = {id: deps_filtered(graph, vertices, id, pri_max) for id in vertices} + sccs = list(strongly_connected_components(vertices, edges)) + res = [] + for ready in topsort(prepare_sccs(sccs, edges)): + res.extend(sorted(ready, key=lambda scc: -min(graph[id].order for id in scc))) + return res + + +def deps_filtered(graph: Graph, vertices: AbstractSet[str], id: str, pri_max: int) -> list[str]: + """Filter dependencies for id with pri < pri_max.""" + if id not in vertices: + return [] + state = graph[id] + return [ + dep + for dep in state.dependencies + if dep in vertices and state.priorities.get(dep, PRI_HIGH) < pri_max + ] + + +def transitive_dep_hash(scc: SCC, graph: Graph) -> bytes: + """Compute stable snapshot of transitive import structure for given SCC.""" + all_direct_deps = sorted( + { + dep + for id in scc.mod_ids + for dep in graph[id].dependencies + if graph[id].priorities.get(dep) != PRI_INDIRECT + } + ) + buf = WriteBuffer() + for dep_id in all_direct_deps: + write_str_bare(buf, dep_id) + if dep_id not in scc.mod_ids: + write_bytes_bare(buf, graph[dep_id].trans_dep_hash) + return hash_digest_bytes(buf.getvalue()) + + +def missing_stubs_file(cache_dir: str) -> str: + return os_path_join(cache_dir, "missing_stubs") + + +def record_missing_stub_packages(cache_dir: str, missing_stub_packages: set[str]) -> None: + """Write a file containing missing stub packages. + + This allows a subsequent "mypy --install-types" run (without other arguments) + to install missing stub packages. + """ + fnam = missing_stubs_file(cache_dir) + if missing_stub_packages: + with open(fnam, "w") as f: + for pkg in sorted(missing_stub_packages): + f.write(f"{pkg}\n") + else: + if os.path.isfile(fnam): + os.remove(fnam) + + +def is_silent_import_module(manager: BuildManager, path: str) -> bool: + if manager.options.no_silence_site_packages: + return False + # Silence errors in site-package dirs and typeshed + if any(is_sub_path_normabs(path, dir) for dir in manager.search_paths.package_path): + return True + return any(is_sub_path_normabs(path, dir) for dir in manager.search_paths.typeshed_path) + + +def write_undocumented_ref_info( + state: State, metastore: MetadataStore, options: Options, type_map: dict[Expression, Type] +) -> None: + # This exports some dependency information in a rather ad-hoc fashion, which + # can be helpful for some tools. This is all highly experimental and could be + # removed at any time. + + from mypy.refinfo import get_undocumented_ref_info_json + + if not state.tree: + # We need a full AST for this. + return + + _, data_file, _ = get_cache_names(state.id, state.xpath, options) + ref_info_file = ".".join(data_file.split(".")[:-2]) + ".refs.json" + assert not ref_info_file.startswith(".") + + deps_json = get_undocumented_ref_info_json(state.tree, type_map) + metastore.write(ref_info_file, json_dumps(deps_json)) + + +# The IPC message classes and tags for communication with build workers are +# in this file to avoid import cycles. +# Note that we use a more compact fixed serialization format than in cache.py. +# This is because the messages don't need to read by a generic tool, nor there +# is any need for backwards compatibility. We still reuse some elements from +# cache.py for convenience, and also some conventions (like using bare ints +# to specify object size). +# Note that we can use tags overlapping with cache.py, since they should never +# appear on the same context. +ACK_MESSAGE: Final[Tag] = 101 +SCC_REQUEST_MESSAGE: Final[Tag] = 102 +SCC_RESPONSE_MESSAGE: Final[Tag] = 103 +SOURCES_DATA_MESSAGE: Final[Tag] = 104 +SCCS_DATA_MESSAGE: Final[Tag] = 105 +GRAPH_MESSAGE: Final[Tag] = 106 + + +class AckMessage(IPCMessage): + """An empty message used primarily for synchronization.""" + + @classmethod + def read(cls, buf: ReadBuffer) -> AckMessage: + assert read_tag(buf) == ACK_MESSAGE + return AckMessage() + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, ACK_MESSAGE) + + +class SccRequestMessage(IPCMessage): + """ + A message representing a request to type check an SCC. + + If scc_id is None, then it means that the coordinator requested a shutdown. + """ + + def __init__( + self, + *, + scc_id: int | None, + import_errors: dict[str, list[ErrorInfo]], + mod_data: dict[str, tuple[bytes, FileRawData | None]], + ) -> None: + self.scc_id = scc_id + self.import_errors = import_errors + self.mod_data = mod_data + + @classmethod + def read(cls, buf: ReadBuffer) -> SccRequestMessage: + assert read_tag(buf) == SCC_REQUEST_MESSAGE + return SccRequestMessage( + scc_id=read_int_opt(buf), + import_errors={ + read_str(buf): [ErrorInfo.read(buf) for _ in range(read_int_bare(buf))] + for _ in range(read_int_bare(buf)) + }, + mod_data={ + read_str_bare(buf): ( + read_bytes(buf), + FileRawData.read(buf) if read_bool(buf) else None, + ) + for _ in range(read_int_bare(buf)) + }, + ) + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, SCC_REQUEST_MESSAGE) + write_int_opt(buf, self.scc_id) + write_int_bare(buf, len(self.import_errors)) + for path, errors in self.import_errors.items(): + write_str(buf, path) + write_int_bare(buf, len(errors)) + for error in errors: + error.write(buf) + write_int_bare(buf, len(self.mod_data)) + for mod, (suppressed_deps_opts, raw_data) in self.mod_data.items(): + write_str_bare(buf, mod) + write_bytes(buf, suppressed_deps_opts) + if raw_data is None: + write_bool(buf, False) + else: + write_bool(buf, True) + raw_data.write(buf) + + +class SccResponseMessage(IPCMessage): + """ + A message representing a result of type checking an SCC. + + Only one of `result` or `blocker` can be non-None. The latter means there was + a blocking error while type checking the SCC. + """ + + def __init__( + self, + *, + scc_id: int, + result: dict[str, tuple[str, list[str]]] | None = None, + blocker: CompileError | None = None, + ) -> None: + if result is not None: + assert blocker is None + if blocker is not None: + assert result is None + self.scc_id = scc_id + self.result = result + self.blocker = blocker + + @classmethod + def read(cls, buf: ReadBuffer) -> SccResponseMessage: + assert read_tag(buf) == SCC_RESPONSE_MESSAGE + scc_id = read_int(buf) + tag = read_tag(buf) + if tag == LITERAL_NONE: + return SccResponseMessage( + scc_id=scc_id, + blocker=CompileError(read_str_list(buf), read_bool(buf), read_str_opt(buf)), + ) + else: + assert tag == DICT_STR_GEN + return SccResponseMessage( + scc_id=scc_id, + result={ + read_str_bare(buf): (read_str(buf), read_str_list(buf)) + for _ in range(read_int_bare(buf)) + }, + ) + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, SCC_RESPONSE_MESSAGE) + write_int(buf, self.scc_id) + if self.result is None: + assert self.blocker is not None + write_tag(buf, LITERAL_NONE) + write_str_list(buf, self.blocker.messages) + write_bool(buf, self.blocker.use_stdout) + write_str_opt(buf, self.blocker.module_with_blocker) + else: + write_tag(buf, DICT_STR_GEN) + write_int_bare(buf, len(self.result)) + for mod_id in sorted(self.result): + write_str_bare(buf, mod_id) + hex_hash, errs = self.result[mod_id] + write_str(buf, hex_hash) + write_str_list(buf, errs) + + +class SourcesDataMessage(IPCMessage): + """A message wrapping a list of build sources.""" + + def __init__(self, *, sources: list[BuildSource]) -> None: + self.sources = sources + + @classmethod + def read(cls, buf: ReadBuffer) -> SourcesDataMessage: + assert read_tag(buf) == SOURCES_DATA_MESSAGE + sources = [ + BuildSource( + read_str_opt(buf), + read_str_opt(buf), + read_str_opt(buf), + read_str_opt(buf), + read_bool(buf), + ) + for _ in range(read_int_bare(buf)) + ] + return SourcesDataMessage(sources=sources) + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, SOURCES_DATA_MESSAGE) + write_int_bare(buf, len(self.sources)) + for bs in self.sources: + write_str_opt(buf, bs.path) + write_str_opt(buf, bs.module) + write_str_opt(buf, bs.text) + write_str_opt(buf, bs.base_dir) + write_bool(buf, bs.followed) + + +class SccsDataMessage(IPCMessage): + """A message wrapping the SCC structure computed by the coordinator.""" + + def __init__(self, *, sccs: list[SCC]) -> None: + self.sccs = sccs + + @classmethod + def read(cls, buf: ReadBuffer) -> SccsDataMessage: + assert read_tag(buf) == SCCS_DATA_MESSAGE + sccs = [ + SCC(set(read_str_list(buf)), read_int(buf), read_int_list(buf)) + for _ in range(read_int_bare(buf)) + ] + return SccsDataMessage(sccs=sccs) + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, SCCS_DATA_MESSAGE) + write_int_bare(buf, len(self.sccs)) + for scc in self.sccs: + write_str_list(buf, sorted(scc.mod_ids)) + write_int(buf, scc.id) + write_int_list(buf, sorted(scc.deps)) + + +class GraphMessage(IPCMessage): + """A message wrapping the build graph computed by the coordinator.""" + + def __init__(self, *, graph: Graph, missing_modules: dict[str, int]) -> None: + self.graph = graph + self.missing_modules = missing_modules + # Send this data separately as it will be lost during state serialization. + self.from_cache = {mod_id for mod_id in graph if graph[mod_id].meta} + + @classmethod + def read(cls, buf: ReadBuffer, manager: BuildManager | None = None) -> GraphMessage: + assert manager is not None + assert read_tag(buf) == GRAPH_MESSAGE + graph = {read_str_bare(buf): State.read(buf, manager) for _ in range(read_int_bare(buf))} + missing_modules = {read_str_bare(buf): read_int(buf) for _ in range(read_int_bare(buf))} + message = GraphMessage(graph=graph, missing_modules=missing_modules) + message.from_cache = {read_str_bare(buf) for _ in range(read_int_bare(buf))} + return message + + def write(self, buf: WriteBuffer) -> None: + write_tag(buf, GRAPH_MESSAGE) + write_int_bare(buf, len(self.graph)) + for mod_id, state in self.graph.items(): + write_str_bare(buf, mod_id) + state.write(buf) + write_int_bare(buf, len(self.missing_modules)) + for module, reason in self.missing_modules.items(): + write_str_bare(buf, module) + write_int(buf, reason) + write_int_bare(buf, len(self.from_cache)) + for module in self.from_cache: + write_str_bare(buf, module) diff --git a/micromamba_root/Lib/site-packages/mypy/cache.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/cache.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..60a4ceb3bbcc8dbda5b8a5f7de17e193ba8cecc9 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/cache.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/cache.py b/micromamba_root/Lib/site-packages/mypy/cache.py new file mode 100644 index 0000000000000000000000000000000000000000..0adc7affb8cb416b6f35523907c36b6190f76c72 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/cache.py @@ -0,0 +1,532 @@ +""" +This module contains high-level logic for fixed format serialization. + +Lower-level parts are implemented in C in mypyc/lib-rt/internal/librt_internal.c +Short summary of low-level functionality: +* integers are automatically serialized as 1, 2, or 4 bytes, or arbitrary length. +* str/bytes are serialized as size (1, 2, or 4 bytes) followed by bytes buffer. +* floats are serialized as C doubles. + +At high-level we add type tags as needed so that our format is self-descriptive. +More precisely: +* False, True, and None are stored as just a tag: 0, 1, 2 correspondingly. +* builtin primitives like int/str/bytes/float are stored as their type tag followed + by bare (low-level) representation of the value. Reserved tag range for primitives is + 3 ... 19. +* generic (heterogeneous) list are stored as tag, followed by bare size, followed by + sequence of tagged values. +* homogeneous lists of primitives are stored as tag, followed by bare size, followed + by sequence of bare values. +* reserved tag range for sequence-like builtins is 20 ... 29 +* currently we have only one mapping-like format: string-keyed dictionary with heterogeneous + values. It is stored as tag, followed by bare size, followed by sequence of pairs: bare + string key followed by tagged value. +* reserved tag range for mapping-like builtins is 30 ... 39 +* there is an additional reserved tag range 40 ... 49 for any other builtin collections. +* custom classes (like types, symbols etc.) are stored as tag, followed by a sequence of + tagged field values, followed by a special end tag 255. Names of class fields are + *not* stored, the caller should know the field names and order for the given class tag. +* reserved tag range for symbols (TypeInfo, Var, etc) is 50 ... 79. +* class Instance is the only exception from the above format (since it is the most common one). + It has two extra formats: few most common instances like "builtins.object" are stored as + instance tag followed by a secondary tag, other plain non-generic instances are stored as + instance tag followed by secondary tag followed by fullname as bare string. All generic + readers must handle these. +* reserved tag range for Instance type formats is 80 ... 99, for other types it is 100 ... 149. +* tag 254 is reserved for if we would ever need to extend the tag range to indicated second tag + page. Tags 150 ... 253 are free for everything else (e.g. AST nodes etc). + +General convention is that custom classes implement write() and read() methods for FF +serialization. The write method should write both class tag and end tag. The read method +conventionally *does not* read the start tag (to simplify logic for unions). Known exceptions +are MypyFile.read() and SymbolTableNode.read(), since those two never appear in a union. + +If any of these details change, or if the structure of CacheMeta changes please +bump CACHE_VERSION below. +""" + +from __future__ import annotations + +from collections.abc import Sequence +from typing import Any, Final, TypeAlias as _TypeAlias + +from librt.internal import ( + ReadBuffer as ReadBuffer, + WriteBuffer as WriteBuffer, + read_bool as read_bool, + read_bytes as read_bytes_bare, + read_float as read_float_bare, + read_int as read_int_bare, + read_str as read_str_bare, + read_tag as read_tag, + write_bool as write_bool, + write_bytes as write_bytes_bare, + write_float as write_float_bare, + write_int as write_int_bare, + write_str as write_str_bare, + write_tag as write_tag, +) +from mypy_extensions import u8 + +# High-level cache layout format +CACHE_VERSION: Final = 7 + +# Type used internally to represent errors: +# (path, line, column, end_line, end_column, severity, message, code) +ErrorTuple: _TypeAlias = tuple[str | None, int, int, int, int, str, str, str | None] + + +class CacheMeta: + """Class representing cache metadata for a module.""" + + def __init__( + self, + *, + id: str, + path: str, + mtime: int, + size: int, + hash: str, + dependencies: list[str], + data_mtime: int, + data_file: str, + suppressed: list[str], + imports_ignored: dict[int, list[str]], + options: dict[str, object], + suppressed_deps_opts: bytes, + dep_prios: list[int], + dep_lines: list[int], + dep_hashes: list[bytes], + interface_hash: bytes, + trans_dep_hash: bytes, + version_id: str, + ignore_all: bool, + plugin_data: Any, + ) -> None: + self.id = id + self.path = path + self.mtime = mtime # source file mtime + self.size = size # source file size + self.hash = hash # source file hash (as a hex string for historical reasons) + self.dependencies = dependencies # names of imported modules + self.data_mtime = data_mtime # mtime of data_file + self.data_file = data_file # path of .data.json or .data.ff + self.suppressed = suppressed # dependencies that weren't imported + self.imports_ignored = imports_ignored # type ignore codes by line + self.options = options # build options snapshot + self.suppressed_deps_opts = suppressed_deps_opts # hash of import-related options + # dep_prios and dep_lines are both aligned with dependencies + suppressed + self.dep_prios = dep_prios + self.dep_lines = dep_lines + # dep_hashes list is aligned with dependencies only + self.dep_hashes = dep_hashes # list of interface_hash for dependencies + self.interface_hash = interface_hash # hash representing the public interface + self.trans_dep_hash = trans_dep_hash # hash of import structure (transitive) + self.version_id = version_id # mypy version for cache invalidation + self.ignore_all = ignore_all # if errors were ignored + self.plugin_data = plugin_data # config data from plugins + + def serialize(self) -> dict[str, Any]: + return { + "id": self.id, + "path": self.path, + "mtime": self.mtime, + "size": self.size, + "hash": self.hash, + "data_mtime": self.data_mtime, + "dependencies": self.dependencies, + "suppressed": self.suppressed, + "imports_ignored": {str(line): codes for line, codes in self.imports_ignored.items()}, + "options": self.options, + "suppressed_deps_opts": self.suppressed_deps_opts.hex(), + "dep_prios": self.dep_prios, + "dep_lines": self.dep_lines, + "dep_hashes": [dep.hex() for dep in self.dep_hashes], + "interface_hash": self.interface_hash.hex(), + "trans_dep_hash": self.trans_dep_hash.hex(), + "version_id": self.version_id, + "ignore_all": self.ignore_all, + "plugin_data": self.plugin_data, + } + + @classmethod + def deserialize(cls, meta: dict[str, Any], data_file: str) -> CacheMeta | None: + try: + return CacheMeta( + id=meta["id"], + path=meta["path"], + mtime=meta["mtime"], + size=meta["size"], + hash=meta["hash"], + dependencies=meta["dependencies"], + data_mtime=meta["data_mtime"], + data_file=data_file, + suppressed=meta["suppressed"], + imports_ignored={ + int(line): codes for line, codes in meta["imports_ignored"].items() + }, + options=meta["options"], + suppressed_deps_opts=bytes.fromhex(meta["suppressed_deps_opts"]), + dep_prios=meta["dep_prios"], + dep_lines=meta["dep_lines"], + dep_hashes=[bytes.fromhex(dep) for dep in meta["dep_hashes"]], + interface_hash=bytes.fromhex(meta["interface_hash"]), + trans_dep_hash=bytes.fromhex(meta["trans_dep_hash"]), + version_id=meta["version_id"], + ignore_all=meta["ignore_all"], + plugin_data=meta["plugin_data"], + ) + except (KeyError, ValueError): + return None + + def write(self, data: WriteBuffer) -> None: + write_str(data, self.id) + write_str(data, self.path) + write_int(data, self.mtime) + write_int(data, self.size) + write_str(data, self.hash) + write_str_list(data, self.dependencies) + write_int(data, self.data_mtime) + write_str_list(data, self.suppressed) + write_int_bare(data, len(self.imports_ignored)) + for line, codes in self.imports_ignored.items(): + write_int(data, line) + write_str_list(data, codes) + write_json(data, self.options) + write_bytes(data, self.suppressed_deps_opts) + write_int_list(data, self.dep_prios) + write_int_list(data, self.dep_lines) + write_bytes_list(data, self.dep_hashes) + write_bytes(data, self.interface_hash) + write_bytes(data, self.trans_dep_hash) + write_str(data, self.version_id) + write_bool(data, self.ignore_all) + # Plugin data may be not a dictionary, so we use + # a more generic write_json_value() here. + write_json_value(data, self.plugin_data) + + @classmethod + def read(cls, data: ReadBuffer, data_file: str) -> CacheMeta | None: + try: + return CacheMeta( + id=read_str(data), + path=read_str(data), + mtime=read_int(data), + size=read_int(data), + hash=read_str(data), + dependencies=read_str_list(data), + data_mtime=read_int(data), + data_file=data_file, + suppressed=read_str_list(data), + imports_ignored={ + read_int(data): read_str_list(data) for _ in range(read_int_bare(data)) + }, + options=read_json(data), + suppressed_deps_opts=read_bytes(data), + dep_prios=read_int_list(data), + dep_lines=read_int_list(data), + dep_hashes=read_bytes_list(data), + interface_hash=read_bytes(data), + trans_dep_hash=read_bytes(data), + version_id=read_str(data), + ignore_all=read_bool(data), + plugin_data=read_json_value(data), + ) + except (ValueError, AssertionError): + return None + + +# Always use this type alias to refer to type tags. +Tag = u8 + +# Primitives. +LITERAL_FALSE: Final[Tag] = 0 +LITERAL_TRUE: Final[Tag] = 1 +LITERAL_NONE: Final[Tag] = 2 +LITERAL_INT: Final[Tag] = 3 +LITERAL_STR: Final[Tag] = 4 +LITERAL_BYTES: Final[Tag] = 5 +LITERAL_FLOAT: Final[Tag] = 6 +LITERAL_COMPLEX: Final[Tag] = 7 + +# Collections. +LIST_GEN: Final[Tag] = 20 +LIST_INT: Final[Tag] = 21 +LIST_STR: Final[Tag] = 22 +LIST_BYTES: Final[Tag] = 23 +TUPLE_GEN: Final[Tag] = 24 +DICT_STR_GEN: Final[Tag] = 30 +DICT_INT_GEN: Final[Tag] = 31 + +# Misc classes. +EXTRA_ATTRS: Final[Tag] = 150 +DT_SPEC: Final[Tag] = 151 +# Four integers representing source file (line, column) range. +LOCATION: Final[Tag] = 152 + +END_TAG: Final[Tag] = 255 + + +def read_literal(data: ReadBuffer, tag: Tag) -> int | str | bool | float: + if tag == LITERAL_INT: + return read_int_bare(data) + elif tag == LITERAL_STR: + return read_str_bare(data) + elif tag == LITERAL_FALSE: + return False + elif tag == LITERAL_TRUE: + return True + elif tag == LITERAL_FLOAT: + return read_float_bare(data) + assert False, f"Unknown literal tag {tag}" + + +# There is an intentional asymmetry between read and write for literals because +# None and/or complex values are only allowed in some contexts but not in others. +def write_literal(data: WriteBuffer, value: int | str | bool | float | complex | None) -> None: + if isinstance(value, bool): + write_bool(data, value) + elif isinstance(value, int): + write_tag(data, LITERAL_INT) + write_int_bare(data, value) + elif isinstance(value, str): + write_tag(data, LITERAL_STR) + write_str_bare(data, value) + elif isinstance(value, float): + write_tag(data, LITERAL_FLOAT) + write_float_bare(data, value) + elif isinstance(value, complex): + write_tag(data, LITERAL_COMPLEX) + write_float_bare(data, value.real) + write_float_bare(data, value.imag) + else: + write_tag(data, LITERAL_NONE) + + +def read_int(data: ReadBuffer) -> int: + assert read_tag(data) == LITERAL_INT + return read_int_bare(data) + + +def write_int(data: WriteBuffer, value: int) -> None: + write_tag(data, LITERAL_INT) + write_int_bare(data, value) + + +def read_str(data: ReadBuffer) -> str: + assert read_tag(data) == LITERAL_STR + return read_str_bare(data) + + +def write_str(data: WriteBuffer, value: str) -> None: + write_tag(data, LITERAL_STR) + write_str_bare(data, value) + + +def read_bytes(data: ReadBuffer) -> bytes: + assert read_tag(data) == LITERAL_BYTES + return read_bytes_bare(data) + + +def write_bytes(data: WriteBuffer, value: bytes) -> None: + write_tag(data, LITERAL_BYTES) + write_bytes_bare(data, value) + + +def read_int_opt(data: ReadBuffer) -> int | None: + tag = read_tag(data) + if tag == LITERAL_NONE: + return None + assert tag == LITERAL_INT + return read_int_bare(data) + + +def write_int_opt(data: WriteBuffer, value: int | None) -> None: + if value is not None: + write_tag(data, LITERAL_INT) + write_int_bare(data, value) + else: + write_tag(data, LITERAL_NONE) + + +def read_str_opt(data: ReadBuffer) -> str | None: + tag = read_tag(data) + if tag == LITERAL_NONE: + return None + assert tag == LITERAL_STR + return read_str_bare(data) + + +def write_str_opt(data: WriteBuffer, value: str | None) -> None: + if value is not None: + write_tag(data, LITERAL_STR) + write_str_bare(data, value) + else: + write_tag(data, LITERAL_NONE) + + +def read_int_list(data: ReadBuffer) -> list[int]: + assert read_tag(data) == LIST_INT + size = read_int_bare(data) + return [read_int_bare(data) for _ in range(size)] + + +def write_int_list(data: WriteBuffer, value: list[int]) -> None: + write_tag(data, LIST_INT) + write_int_bare(data, len(value)) + for item in value: + write_int_bare(data, item) + + +def read_str_list(data: ReadBuffer) -> list[str]: + assert read_tag(data) == LIST_STR + size = read_int_bare(data) + return [read_str_bare(data) for _ in range(size)] + + +def write_str_list(data: WriteBuffer, value: Sequence[str]) -> None: + write_tag(data, LIST_STR) + write_int_bare(data, len(value)) + for item in value: + write_str_bare(data, item) + + +def read_bytes_list(data: ReadBuffer) -> list[bytes]: + assert read_tag(data) == LIST_BYTES + size = read_int_bare(data) + return [read_bytes_bare(data) for _ in range(size)] + + +def write_bytes_list(data: WriteBuffer, value: Sequence[bytes]) -> None: + write_tag(data, LIST_BYTES) + write_int_bare(data, len(value)) + for item in value: + write_bytes_bare(data, item) + + +def read_str_opt_list(data: ReadBuffer) -> list[str | None]: + assert read_tag(data) == LIST_GEN + size = read_int_bare(data) + return [read_str_opt(data) for _ in range(size)] + + +def write_str_opt_list(data: WriteBuffer, value: list[str | None]) -> None: + write_tag(data, LIST_GEN) + write_int_bare(data, len(value)) + for item in value: + write_str_opt(data, item) + + +Value: _TypeAlias = None | int | str | bool + +# Our JSON format is somewhat non-standard as we distinguish lists and tuples. +# This is convenient for some internal things, like mypyc plugin and error serialization. +JsonValue: _TypeAlias = ( + Value | list["JsonValue"] | dict[str, "JsonValue"] | tuple["JsonValue", ...] +) + + +def read_json_value(data: ReadBuffer) -> JsonValue: + tag = read_tag(data) + if tag == LITERAL_NONE: + return None + if tag == LITERAL_FALSE: + return False + if tag == LITERAL_TRUE: + return True + if tag == LITERAL_INT: + return read_int_bare(data) + if tag == LITERAL_STR: + return read_str_bare(data) + if tag == LIST_GEN: + size = read_int_bare(data) + return [read_json_value(data) for _ in range(size)] + if tag == TUPLE_GEN: + size = read_int_bare(data) + return tuple(read_json_value(data) for _ in range(size)) + if tag == DICT_STR_GEN: + size = read_int_bare(data) + return {read_str_bare(data): read_json_value(data) for _ in range(size)} + assert False, f"Invalid JSON tag: {tag}" + + +def write_json_value(data: WriteBuffer, value: JsonValue) -> None: + if value is None: + write_tag(data, LITERAL_NONE) + elif isinstance(value, bool): + write_bool(data, value) + elif isinstance(value, int): + write_tag(data, LITERAL_INT) + write_int_bare(data, value) + elif isinstance(value, str): + write_tag(data, LITERAL_STR) + write_str_bare(data, value) + elif isinstance(value, list): + write_tag(data, LIST_GEN) + write_int_bare(data, len(value)) + for val in value: + write_json_value(data, val) + elif isinstance(value, tuple): + write_tag(data, TUPLE_GEN) + write_int_bare(data, len(value)) + for val in value: + write_json_value(data, val) + elif isinstance(value, dict): + write_tag(data, DICT_STR_GEN) + write_int_bare(data, len(value)) + for key in sorted(value): + write_str_bare(data, key) + write_json_value(data, value[key]) + else: + assert False, f"Invalid JSON value: {value}" + + +# These are functions for JSON *dictionaries* specifically. Unfortunately, we +# must use imprecise types here, because the callers use imprecise types. +def read_json(data: ReadBuffer) -> dict[str, Any]: + assert read_tag(data) == DICT_STR_GEN + size = read_int_bare(data) + return {read_str_bare(data): read_json_value(data) for _ in range(size)} + + +def write_json(data: WriteBuffer, value: dict[str, Any]) -> None: + write_tag(data, DICT_STR_GEN) + write_int_bare(data, len(value)) + for key in sorted(value): + write_str_bare(data, key) + write_json_value(data, value[key]) + + +def write_errors(data: WriteBuffer, errs: list[ErrorTuple]) -> None: + write_tag(data, LIST_GEN) + write_int_bare(data, len(errs)) + for path, line, column, end_line, end_column, severity, message, code in errs: + write_tag(data, TUPLE_GEN) + write_str_opt(data, path) + write_int(data, line) + write_int(data, column) + write_int(data, end_line) + write_int(data, end_column) + write_str(data, severity) + write_str(data, message) + write_str_opt(data, code) + + +def read_errors(data: ReadBuffer) -> list[ErrorTuple]: + assert read_tag(data) == LIST_GEN + result = [] + for _ in range(read_int_bare(data)): + assert read_tag(data) == TUPLE_GEN + result.append( + ( + read_str_opt(data), + read_int(data), + read_int(data), + read_int(data), + read_int(data), + read_str(data), + read_str(data), + read_str_opt(data), + ) + ) + return result diff --git a/micromamba_root/Lib/site-packages/mypy/checker.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checker.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..9c564b612c5daf2227afca4cc23e63b44bf54bde Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checker.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checker.py b/micromamba_root/Lib/site-packages/mypy/checker.py new file mode 100644 index 0000000000000000000000000000000000000000..717733dd412468a25bcbe2aad7253466128fd992 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checker.py @@ -0,0 +1,9590 @@ +"""Mypy type checker.""" + +from __future__ import annotations + +import itertools +from collections import defaultdict +from collections.abc import Callable, Iterable, Iterator, Mapping, Sequence, Set as AbstractSet +from contextlib import ExitStack, contextmanager +from typing import ( + Final, + Generic, + Literal, + NamedTuple, + TypeAlias as _TypeAlias, + TypeGuard, + TypeVar, + cast, + overload, +) + +import mypy.checkexpr +from mypy import errorcodes as codes, join, message_registry, nodes, operators +from mypy.binder import ConditionalTypeBinder, Frame, get_declaration +from mypy.checker_shared import CheckerScope, TypeCheckerSharedApi, TypeRange +from mypy.checker_state import checker_state +from mypy.checkmember import ( + MemberContext, + analyze_class_attribute_access, + analyze_instance_member_access, + analyze_member_access, + is_instance_var, +) +from mypy.checkpattern import PatternChecker +from mypy.constraints import SUPERTYPE_OF +from mypy.erasetype import ( + erase_type, + erase_typevars, + remove_instance_last_known_values, + shallow_erase_type_for_equality, +) +from mypy.errorcodes import TYPE_VAR, UNUSED_AWAITABLE, UNUSED_COROUTINE, ErrorCode +from mypy.errors import ( + ErrorInfo, + Errors, + ErrorWatcher, + IterationDependentErrors, + IterationErrorWatcher, + report_internal_error, +) +from mypy.expandtype import expand_type +from mypy.literals import Key, extract_var_from_literal_hash, literal, literal_hash +from mypy.maptype import map_instance_to_supertype +from mypy.meet import is_overlapping_erased_types, is_overlapping_types, meet_types +from mypy.message_registry import ErrorMessage +from mypy.messages import ( + SUGGESTED_TEST_FIXTURES, + MessageBuilder, + append_invariance_notes, + append_union_note, + format_type, + format_type_bare, + format_type_distinctly, + make_inferred_type_note, + pretty_seq, +) +from mypy.mro import MroError, calculate_mro +from mypy.nodes import ( + ARG_NAMED, + ARG_POS, + ARG_STAR, + CONTRAVARIANT, + COVARIANT, + FUNC_NO_INFO, + GDEF, + IMPLICITLY_ABSTRACT, + INVARIANT, + IS_ABSTRACT, + LDEF, + LITERAL_TYPE, + MDEF, + NOT_ABSTRACT, + SYMBOL_FUNCBASE_TYPES, + AssertStmt, + AssignmentExpr, + AssignmentStmt, + AwaitExpr, + Block, + BreakStmt, + BytesExpr, + CallExpr, + ClassDef, + ComparisonExpr, + Context, + ContinueStmt, + Decorator, + DelStmt, + DictExpr, + EllipsisExpr, + Expression, + ExpressionStmt, + FloatExpr, + ForStmt, + FuncBase, + FuncDef, + FuncItem, + GlobalDecl, + IfStmt, + Import, + ImportAll, + ImportBase, + ImportFrom, + IndexExpr, + IntExpr, + LambdaExpr, + ListExpr, + Lvalue, + MatchStmt, + MemberExpr, + MypyFile, + NameExpr, + Node, + NonlocalDecl, + OperatorAssignmentStmt, + OpExpr, + OverloadedFuncDef, + OverloadPart, + PassStmt, + PromoteExpr, + RaiseStmt, + RefExpr, + ReturnStmt, + SetExpr, + SplittingVisitor, + StarExpr, + Statement, + StrExpr, + SymbolNode, + SymbolTable, + SymbolTableNode, + TempNode, + TryStmt, + TupleExpr, + TypeAlias, + TypeAliasStmt, + TypeInfo, + UnaryExpr, + Var, + WhileStmt, + WithStmt, + YieldExpr, + get_func_def, + is_final_node, +) +from mypy.operators import flip_ops, int_op_to_method, neg_ops +from mypy.options import PRECISE_TUPLE_TYPES, Options +from mypy.patterns import AsPattern, StarredPattern +from mypy.plugin import Plugin +from mypy.plugins import dataclasses as dataclasses_plugin +from mypy.scope import Scope +from mypy.semanal import is_trivial_body, refers_to_fullname, set_callable_name +from mypy.semanal_enum import ENUM_BASES, ENUM_SPECIAL_PROPS +from mypy.semanal_shared import SemanticAnalyzerCoreInterface +from mypy.sharedparse import BINARY_MAGIC_METHODS +from mypy.state import state +from mypy.subtypes import ( + find_member, + infer_class_variances, + is_callable_compatible, + is_equivalent, + is_more_precise, + is_proper_subtype, + is_same_type, + is_subtype, + restrict_subtype_away, + unify_generic_callable, +) +from mypy.traverser import TraverserVisitor, all_return_statements, has_return_statement +from mypy.treetransform import TransformVisitor +from mypy.typeanal import check_for_explicit_any, has_any_from_unimported_type, make_optional_type +from mypy.typeops import ( + bind_self, + can_have_shared_disjoint_base, + coerce_to_literal, + custom_special_method, + erase_def_to_union_or_bound, + erase_to_bound, + erase_to_union_or_bound, + false_only, + fixup_partial_type, + function_type, + is_literal_type_like, + is_singleton_equality_type, + is_singleton_identity_type, + make_simplified_union, + true_only, + try_expanding_sum_type_to_union, + try_getting_int_literals_from_type, + try_getting_str_literals, + try_getting_str_literals_from_type, + tuple_fallback, + type_object_type, +) +from mypy.types import ( + ANY_STRATEGY, + MYPYC_NATIVE_INT_NAMES, + NOT_IMPLEMENTED_TYPE_NAMES, + OVERLOAD_NAMES, + AnyType, + BoolTypeQuery, + CallableType, + DeletedType, + ErasedType, + FunctionLike, + Instance, + LiteralType, + NoneType, + Overloaded, + PartialType, + ProperType, + TupleType, + Type, + TypeAliasType, + TypedDictType, + TypeGuardedType, + TypeOfAny, + TypeTranslator, + TypeType, + TypeVarId, + TypeVarLikeType, + TypeVarTupleType, + TypeVarType, + UnboundType, + UninhabitedType, + UnionType, + UnpackType, + find_unpack_in_list, + flatten_nested_unions, + get_proper_type, + get_proper_types, + instance_cache, + is_literal_type, + is_named_instance, +) +from mypy.types_utils import is_overlapping_none, remove_optional, store_argument_type, strip_type +from mypy.typetraverser import TypeTraverserVisitor +from mypy.typevars import fill_typevars, fill_typevars_with_any, has_no_typevars +from mypy.util import is_dunder, is_sunder +from mypy.visitor import NodeVisitor + +T = TypeVar("T") + +DEFAULT_LAST_PASS: Final = 2 # Pass numbers start at 0 + +# Maximum length of fixed tuple types inferred when narrowing from variadic tuples. +MAX_PRECISE_TUPLE_SIZE: Final = 8 + +DeferredNodeType: _TypeAlias = FuncDef | OverloadedFuncDef | Decorator +FineGrainedDeferredNodeType: _TypeAlias = FuncDef | MypyFile | OverloadedFuncDef + + +# A node which is postponed to be processed during the next pass. +# In normal mode one can defer functions and methods (also decorated and/or overloaded) +# but not lambda expressions. Nested functions can't be deferred -- only top-level functions +# and methods of classes not defined within a function can be deferred. +class DeferredNode(NamedTuple): + node: DeferredNodeType + # And its TypeInfo (for semantic analysis self type handling) + active_typeinfo: TypeInfo | None + + +# Same as above, but for fine-grained mode targets. Only top-level functions/methods +# and module top levels are allowed as such. +class FineGrainedDeferredNode(NamedTuple): + node: FineGrainedDeferredNodeType + active_typeinfo: TypeInfo | None + + +# Data structure returned by find_isinstance_check representing +# information learned from the truth or falsehood of a condition. The +# dict maps nodes representing expressions like 'a[0].x' to their +# refined types under the assumption that the condition has a +# particular truth value. A value of None means that the condition can +# never have that truth value. + +# NB: The keys of this dict are nodes in the original source program, +# which are compared by reference equality--effectively, being *the +# same* expression of the program, not just two identical expressions +# (such as two references to the same variable). TODO: it would +# probably be better to have the dict keyed by the nodes' literal_hash +# field instead. +TypeMap: _TypeAlias = dict[Expression, Type] + + +# Keeps track of partial types in a single scope. In fine-grained incremental +# mode partial types initially defined at the top level cannot be completed in +# a function, and we use the 'is_function' attribute to enforce this. +class PartialTypeScope(NamedTuple): + map: dict[Var, Context] + is_function: bool + is_local: bool + + +class LocalTypeMap: + """Store inferred types into a temporary type map (returned). + + This can be used to perform type checking "experiments" without + affecting exported types (which are used by mypyc). + """ + + def __init__(self, chk: TypeChecker) -> None: + self.chk = chk + + def __enter__(self) -> dict[Expression, Type]: + temp_type_map: dict[Expression, Type] = {} + self.chk._type_maps.append(temp_type_map) + return temp_type_map + + def __exit__(self, exc_type: object, exc_val: object, exc_tb: object) -> Literal[False]: + self.chk._type_maps.pop() + return False + + +class TypeChecker(NodeVisitor[None], TypeCheckerSharedApi, SplittingVisitor): + """Mypy type checker. + + Type check mypy source files that have been semantically analyzed. + + You must create a separate instance for each source file. + """ + + # Are we type checking a stub? + is_stub = False + # Error message reporter + errors: Errors + # Utility for generating messages + msg: MessageBuilder + # Types of type checked nodes. The first item is the "master" type + # map that will store the final, exported types. Additional items + # are temporary type maps used during type inference, and these + # will be eventually popped and either discarded or merged into + # the master type map. + # + # Avoid accessing this directly, but prefer the lookup_type(), + # has_type() etc. helpers instead. + _type_maps: list[dict[Expression, Type]] + + # Helper for managing conditional types + binder: ConditionalTypeBinder + # Helper for type checking expressions + _expr_checker: mypy.checkexpr.ExpressionChecker + + pattern_checker: PatternChecker + + tscope: Scope + scope: CheckerScope + # Innermost enclosing type + type: TypeInfo | None + # Stack of function return types + return_types: list[Type] + # Flags; true for dynamically typed functions + dynamic_funcs: list[bool] + # Stack of collections of variables with partial types + partial_types: list[PartialTypeScope] + # Vars for which partial type errors are already reported + # (to avoid logically duplicate errors with different error context). + partial_reported: set[Var] + # Short names of Var nodes whose previous inferred type has been widened via assignment. + # NOTE: The names might not be unique, they are only for debugging purposes. + widened_vars: list[str] + globals: SymbolTable + modules: dict[str, MypyFile] + # Nodes that couldn't be checked because some types weren't available. We'll run + # another pass and try these again. + deferred_nodes: list[DeferredNode] + # Type checking pass number (0 = first pass) + pass_num = 0 + # Last pass number to take + last_pass = DEFAULT_LAST_PASS + # Have we deferred the current function? If yes, don't infer additional + # types during this pass within the function. + current_node_deferred = False + # Is this file a typeshed stub? + is_typeshed_stub = False + options: Options + # Used for collecting inferred attribute types so that they can be checked + # for consistency. + inferred_attribute_types: dict[Var, Type] | None = None + # Don't infer partial None types if we are processing assignment from Union + no_partial_types: bool = False + # Extra module references not detected during semantic analysis (these are rare cases + # e.g. access to class-level import via instance). + module_refs: set[str] + # A map from variable nodes to a snapshot of the frame ids of the + # frames that were active when the variable was declared. This can + # be used to determine nearest common ancestor frame of a variable's + # declaration and the current frame, which lets us determine if it + # was declared in a different branch of the same `if` statement + # (if that frame is a conditional_frame). + var_decl_frames: dict[Var, set[int]] + + # Plugin that provides special type checking rules for specific library + # functions such as open(), etc. + plugin: Plugin + + # A helper state to produce unique temporary names on demand. + _unique_id: int + # Fake concrete type used when checking variance + _variance_dummy_type: Instance | None + + def __init__( + self, + errors: Errors, + modules: dict[str, MypyFile], + options: Options, + tree: MypyFile, + path: str, + plugin: Plugin, + per_line_checking_time_ns: dict[int, int], + ) -> None: + """Construct a type checker. + + Use errors to report type check errors. + """ + self.errors = errors + self.modules = modules + self.options = options + self.tree = tree + self.path = path + self.msg = MessageBuilder(errors, modules) + self.plugin = plugin + self.tscope = Scope() + self.scope = CheckerScope(tree) + self.binder = ConditionalTypeBinder(options) + self.globals = tree.names + self.type = None + self.return_types = [] + self.dynamic_funcs = [] + self.partial_types = [] + self.partial_reported = set() + self.var_decl_frames = {} + self.deferred_nodes = [] + self.widened_vars = [] + self._type_maps = [{}] + self.module_refs = set() + self.pass_num = 0 + self.current_node_deferred = False + self.is_stub = tree.is_stub + self.is_typeshed_stub = tree.is_typeshed_file(options) + self.inferred_attribute_types = None + self.allow_constructor_cache = True + self.local_type_map = LocalTypeMap(self) + + self.can_skip_diagnostics: Final = ( + self.options.ignore_errors + or self.path in self.msg.errors.ignored_files + or (self.options.test_env and self.is_typeshed_stub) + ) + self.recurse_into_functions = True + # This internal flag is used to track whether we a currently type-checking + # a final declaration (assignment), so that some errors should be suppressed. + # Should not be set manually, use get_final_context/enter_final_context instead. + # NOTE: we use the context manager to avoid "threading" an additional `is_final_def` + # argument through various `checker` and `checkmember` functions. + self._is_final_def = False + + # Track when we enter an overload implementation. Some checks should not be applied + # to the implementation signature when specific overloads are available. + # Use `enter_overload_impl` to modify. + self.overload_impl_stack: list[OverloadPart] = [] + + # This flag is set when we run type-check or attribute access check for the purpose + # of giving a note on possibly missing "await". It is used to avoid infinite recursion. + self.checking_missing_await = False + + # While this is True, allow passing an abstract class where Type[T] is expected. + # although this is technically unsafe, this is desirable in some context, for + # example when type-checking class decorators. + self.allow_abstract_call = False + + # Child checker objects for specific AST node types + self._expr_checker = mypy.checkexpr.ExpressionChecker( + self, self.msg, self.plugin, per_line_checking_time_ns + ) + + self.pattern_checker = PatternChecker(self, self.msg, self.plugin, options) + self._unique_id = 0 + self._variance_dummy_type = None + + @property + def expr_checker(self) -> mypy.checkexpr.ExpressionChecker: + return self._expr_checker + + @property + def type_context(self) -> list[Type | None]: + return self._expr_checker.type_context + + def reset(self) -> None: + """Cleanup stale state that might be left over from a typechecking run. + + This allows us to reuse TypeChecker objects in fine-grained + incremental mode. + """ + # TODO: verify this is still actually worth it over creating new checkers + self.partial_reported.clear() + self.module_refs.clear() + self.binder = ConditionalTypeBinder(self.options) + self._type_maps[1:] = [] + self._type_maps[0].clear() + self.expr_checker.reset() + self.deferred_nodes = [] + self.partial_types = [] + self.inferred_attribute_types = None + self.scope = CheckerScope(self.tree) + + def check_first_pass(self) -> None: + """Type check the entire file, but defer functions with unresolved references. + + Unresolved references are forward references to variables + whose types haven't been inferred yet. They may occur later + in the same file or in a different file that's being processed + later (usually due to an import cycle). + + Deferred functions will be processed by check_second_pass(). + """ + self.recurse_into_functions = True + with state.strict_optional_set(self.options.strict_optional), checker_state.set(self): + self.errors.set_file( + self.path, self.tree.fullname, scope=self.tscope, options=self.options + ) + with self.tscope.module_scope(self.tree.fullname): + with self.enter_partial_types(), self.binder.top_frame_context(): + for d in self.tree.defs: + if self.binder.is_unreachable(): + if not self.should_report_unreachable_issues(): + break + if not self.is_noop_for_reachability(d): + self.msg.unreachable_statement(d) + break + else: + self.accept(d) + + assert not self.current_node_deferred + + all_ = self.globals.get("__all__") + if all_ is not None and all_.type is not None: + all_node = all_.node + assert all_node is not None + seq_str = self.named_generic_type( + "typing.Sequence", [self.named_type("builtins.str")] + ) + if not is_subtype(all_.type, seq_str): + str_seq_s, all_s = format_type_distinctly( + seq_str, all_.type, options=self.options + ) + self.fail( + message_registry.ALL_MUST_BE_SEQ_STR.format(str_seq_s, all_s), all_node + ) + + def check_second_pass( + self, + todo: Sequence[DeferredNode | FineGrainedDeferredNode] | None = None, + *, + allow_constructor_cache: bool = True, + ) -> bool: + """Run second or following pass of type checking. + + This goes through deferred nodes, returning True if there were any. + """ + self.allow_constructor_cache = allow_constructor_cache + self.recurse_into_functions = True + with state.strict_optional_set(self.options.strict_optional), checker_state.set(self): + if not todo and not self.deferred_nodes: + return False + self.errors.set_file( + self.path, self.tree.fullname, scope=self.tscope, options=self.options + ) + with self.tscope.module_scope(self.tree.fullname): + self.pass_num += 1 + if not todo: + todo = self.deferred_nodes + else: + assert not self.deferred_nodes + self.deferred_nodes = [] + done: set[DeferredNodeType | FineGrainedDeferredNodeType] = set() + for node, active_typeinfo in todo: + if node in done: + continue + # This is useful for debugging: + # print("XXX in pass %d, class %s, function %s" % + # (self.pass_num, type_name, node.fullname or node.name)) + done.add(node) + with ExitStack() as stack: + if active_typeinfo: + stack.enter_context(self.tscope.class_scope(active_typeinfo)) + stack.enter_context(self.scope.push_class(active_typeinfo)) + self.check_partial(node) + return True + + def check_partial(self, node: DeferredNodeType | FineGrainedDeferredNodeType) -> None: + self.widened_vars = [] + if isinstance(node, MypyFile): + self.check_top_level(node) + else: + self.recurse_into_functions = True + with self.binder.top_frame_context(): + self.accept(node) + + def check_top_level(self, node: MypyFile) -> None: + """Check only the top-level of a module, skipping function definitions.""" + self.recurse_into_functions = False + with self.enter_partial_types(): + with self.binder.top_frame_context(): + for d in node.defs: + d.accept(self) + + assert not self.current_node_deferred + # TODO: Handle __all__ + + def defer_node(self, node: DeferredNodeType, enclosing_class: TypeInfo | None) -> None: + """Defer a node for processing during next type-checking pass. + + Args: + node: function/method being deferred + enclosing_class: for methods, the class where the method is defined + NOTE: this can't handle nested functions/methods. + """ + # We don't freeze the entire scope since only top-level functions and methods + # can be deferred. Only module/class level scope information is needed. + # Module-level scope information is preserved in the TypeChecker instance. + self.deferred_nodes.append(DeferredNode(node, enclosing_class)) + + def handle_cannot_determine_type(self, name: str, context: Context) -> None: + node = self.scope.top_level_function() + if self.pass_num < self.last_pass and isinstance(node, FuncDef): + # Don't report an error yet. Just defer. Note that we don't defer + # lambdas because they are coupled to the surrounding function + # through the binder and the inferred type of the lambda, so it + # would get messy. + enclosing_class = self.scope.enclosing_class(node) + self.defer_node(node, enclosing_class) + # Set a marker so that we won't infer additional types in this + # function. Any inferred types could be bogus, because there's at + # least one type that we don't know. + self.current_node_deferred = True + else: + self.msg.cannot_determine_type(name, context) + + def accept(self, stmt: Statement) -> None: + """Type check a node in the given type context.""" + try: + stmt.accept(self) + except Exception as err: + report_internal_error(err, self.errors.file, stmt.line, self.errors, self.options) + + def accept_loop( + self, + body: Statement, + else_body: Statement | None = None, + *, + exit_condition: Expression | None = None, + on_enter_body: Callable[[], None] | None = None, + ) -> None: + """Repeatedly type check a loop body until the frame doesn't change.""" + + # The outer frame accumulates the results of all iterations: + with self.binder.frame_context(can_skip=False, conditional_frame=True): + # Check for potential decreases in the number of partial types so as not to stop the + # iteration too early: + partials_old = sum(len(pts.map) for pts in self.partial_types) + # Check if assignment widened the inferred type of a variable; in this case we + # need to iterate again (we only do one extra iteration, since this could go + # on without bound otherwise) + widened_old = len(self.widened_vars) + + iter_errors = IterationDependentErrors() + iter = 1 + while True: + with self.binder.frame_context(can_skip=True, break_frame=2, continue_frame=1): + if on_enter_body is not None: + on_enter_body() + + with IterationErrorWatcher(self.msg.errors, iter_errors): + self.accept(body) + + partials_new = sum(len(pts.map) for pts in self.partial_types) + widened_new = len(self.widened_vars) + # Perform multiple iterations if something changed that might affect + # inferred types. Also limit the number of iterations. The limits are + # somewhat arbitrary, but they were chosen to 1) avoid slowdown from + # multiple iterations in common cases and 2) support common, valid use + # cases. Limits are needed since otherwise we could infer infinitely + # complex types. + if ( + (partials_new == partials_old) + and (not self.binder.last_pop_changed or iter > 3) + and (widened_new == widened_old or iter > 1) + ): + break + partials_old = partials_new + widened_old = widened_new + iter += 1 + if iter == 20: + raise RuntimeError("Too many iterations when checking a loop") + + self.msg.iteration_dependent_errors(iter_errors) + + # If exit_condition is set, assume it must be False on exit from the loop: + if exit_condition: + _, else_map = self.find_isinstance_check(exit_condition) + self.push_type_map(else_map) + + # Check the else body: + if else_body: + self.accept(else_body) + + # + # Definitions + # + + def visit_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: + # If a function/method can infer variable types, it should be processed as part + # of the module top level (i.e. module interface). + if not self.recurse_into_functions and not defn.def_or_infer_vars: + return + with self.tscope.function_scope(defn), self.set_recurse_into_functions(): + self._visit_overloaded_func_def(defn) + + def _visit_overloaded_func_def(self, defn: OverloadedFuncDef) -> None: + num_abstract = 0 + if not defn.items: + # In this case we have already complained about none of these being + # valid overloads. + return + if len(defn.items) == 1: + self.fail(message_registry.MULTIPLE_OVERLOADS_REQUIRED, defn) + + if defn.is_property: + # HACK: Infer the type of the property. + assert isinstance(defn.items[0], Decorator) + self.visit_decorator(defn.items[0]) + if defn.items[0].var.is_settable_property: + # Perform a reduced visit just to infer the actual setter type. + self.visit_decorator_inner(defn.setter, skip_first_item=True) + setter_type = defn.setter.var.type + # Check if the setter can accept two positional arguments. + any_type = AnyType(TypeOfAny.special_form) + fallback_setter_type = CallableType( + arg_types=[any_type, any_type], + arg_kinds=[ARG_POS, ARG_POS], + arg_names=[None, None], + ret_type=any_type, + fallback=self.named_type("builtins.function"), + ) + if setter_type and not is_subtype(setter_type, fallback_setter_type): + self.fail("Invalid property setter signature", defn.setter.func) + setter_type = self.extract_callable_type(setter_type, defn) + if not isinstance(setter_type, CallableType) or len(setter_type.arg_types) != 2: + # TODO: keep precise type for callables with tricky but valid signatures. + setter_type = fallback_setter_type + defn.items[0].var.setter_type = setter_type + if isinstance(defn.type, Overloaded): + # Update legacy property type for decorated properties. + getter_type = self.extract_callable_type(defn.items[0].var.type, defn) + if getter_type is not None: + getter_type.definition = defn.items[0] + defn.type.items[0] = getter_type + for i, fdef in enumerate(defn.items): + assert isinstance(fdef, Decorator) + if defn.is_property: + assert isinstance(defn.items[0], Decorator) + settable = defn.items[0].var.is_settable_property + # Do not visit the second time the items we checked above. + if (settable and i > 1) or (not settable and i > 0): + self.check_func_item(fdef.func, name=fdef.func.name, allow_empty=True) + else: + # Perform full check for real overloads to infer type of all decorated + # overload variants. + self.visit_decorator_inner(fdef, allow_empty=True) + if fdef.func.abstract_status in (IS_ABSTRACT, IMPLICITLY_ABSTRACT): + num_abstract += 1 + if num_abstract not in (0, len(defn.items)): + self.fail(message_registry.INCONSISTENT_ABSTRACT_OVERLOAD, defn) + if defn.impl: + with self.enter_overload_impl(defn.impl): + defn.impl.accept(self) + if not defn.is_property: + self.check_overlapping_overloads(defn) + if defn.type is None: + item_types = [] + for item in defn.items: + assert isinstance(item, Decorator) + item_type = self.extract_callable_type(item.var.type, item) + if item_type is not None: + item_type.definition = item + item_types.append(item_type) + if item_types: + defn.type = Overloaded(item_types) + elif defn.type is None: + # We store the getter type as an overall overload type, as some + # code paths are getting property type this way. + assert isinstance(defn.items[0], Decorator) + var_type = self.extract_callable_type(defn.items[0].var.type, defn) + if not isinstance(var_type, CallableType): + # Construct a fallback type, invalid types should be already reported. + any_type = AnyType(TypeOfAny.special_form) + var_type = CallableType( + arg_types=[any_type], + arg_kinds=[ARG_POS], + arg_names=[None], + ret_type=any_type, + fallback=self.named_type("builtins.function"), + ) + defn.type = Overloaded([var_type]) + # Check override validity after we analyzed current definition. + if not self.can_skip_diagnostics and defn.info: + found_method_base_classes = self.check_method_override(defn) + if ( + defn.is_explicit_override + and not found_method_base_classes + and found_method_base_classes is not None + # If the class has Any fallback, we can't be certain that a method + # is really missing - it might come from unfollowed import. + and not defn.info.fallback_to_any + ): + self.msg.no_overridable_method(defn.name, defn) + self.check_explicit_override_decorator(defn, found_method_base_classes, defn.impl) + self.check_inplace_operator_method(defn) + + @contextmanager + def enter_overload_impl(self, impl: OverloadPart) -> Iterator[None]: + self.overload_impl_stack.append(impl) + try: + yield + finally: + assert self.overload_impl_stack.pop() == impl + + def extract_callable_type(self, inner_type: Type | None, ctx: Context) -> CallableType | None: + """Get type as seen by an overload item caller.""" + inner_type = get_proper_type(inner_type) + outer_type: FunctionLike | None = None + if inner_type is None or isinstance(inner_type, AnyType): + return None + if isinstance(inner_type, TypeVarLikeType): + inner_type = get_proper_type(inner_type.upper_bound) + if isinstance(inner_type, TypeType): + inner_type = get_proper_type( + self.expr_checker.analyze_type_type_callee(inner_type.item, ctx) + ) + + if isinstance(inner_type, FunctionLike): + outer_type = inner_type + elif isinstance(inner_type, Instance): + inner_call = get_proper_type( + analyze_member_access( + name="__call__", + typ=inner_type, + context=ctx, + is_lvalue=False, + is_super=False, + is_operator=True, + original_type=inner_type, + chk=self, + ) + ) + if isinstance(inner_call, FunctionLike): + outer_type = inner_call + elif isinstance(inner_type, UnionType): + union_type = make_simplified_union(inner_type.items) + if isinstance(union_type, UnionType): + items = [] + for item in union_type.items: + callable_item = self.extract_callable_type(item, ctx) + if callable_item is None: + break + items.append(callable_item) + else: + joined_type = get_proper_type(join.join_type_list(items)) + if isinstance(joined_type, FunctionLike): + outer_type = joined_type + else: + return self.extract_callable_type(union_type, ctx) + + if outer_type is None: + self.msg.not_callable(inner_type, ctx) + return None + if isinstance(outer_type, Overloaded): + return None + + assert isinstance(outer_type, CallableType) + return outer_type + + def check_overlapping_overloads(self, defn: OverloadedFuncDef) -> None: + # At this point we should have set the impl already, and all remaining + # items are decorators + + if self.can_skip_diagnostics: + return + + # Compute some info about the implementation (if it exists) for use below + impl_type: CallableType | None = None + if defn.impl: + if isinstance(defn.impl, FuncDef): + inner_type: Type | None = defn.impl.type + elif isinstance(defn.impl, Decorator): + inner_type = defn.impl.var.type + else: + assert False, "Impl isn't the right type" + + # This can happen if we've got an overload with a different + # decorator or if the implementation is untyped -- we gave up on the types. + impl_type = self.extract_callable_type(inner_type, defn.impl) + + is_descriptor_get = defn.info and defn.name == "__get__" + for i, item in enumerate(defn.items): + assert isinstance(item, Decorator) + sig1 = self.extract_callable_type(item.var.type, item) + if sig1 is None: + continue + + for j, item2 in enumerate(defn.items[i + 1 :]): + assert isinstance(item2, Decorator) + sig2 = self.extract_callable_type(item2.var.type, item2) + if sig2 is None: + continue + + if not are_argument_counts_overlapping(sig1, sig2): + continue + + if overload_can_never_match(sig1, sig2): + self.msg.overloaded_signature_will_never_match(i + 1, i + j + 2, item2.func) + elif not is_descriptor_get: + # Note: we force mypy to check overload signatures in strict-optional mode + # so we don't incorrectly report errors when a user tries typing an overload + # that happens to have a 'if the argument is None' fallback. + # + # For example, the following is fine in strict-optional mode but would throw + # the unsafe overlap error when strict-optional is disabled: + # + # @overload + # def foo(x: None) -> int: ... + # @overload + # def foo(x: str) -> str: ... + # + # See Python 2's map function for a concrete example of this kind of overload. + current_class = self.scope.active_class() + type_vars = current_class.defn.type_vars if current_class else [] + with state.strict_optional_set(True): + if is_unsafe_overlapping_overload_signatures(sig1, sig2, type_vars): + flip_note = ( + j == 0 + and not is_unsafe_overlapping_overload_signatures( + sig2, sig1, type_vars + ) + and not overload_can_never_match(sig2, sig1) + ) + self.msg.overloaded_signatures_overlap( + i + 1, i + j + 2, flip_note, item.func + ) + + if impl_type is not None: + assert defn.impl is not None + + # This is what we want from implementation, it should accept all arguments + # of an overload, but the return types should go the opposite way. + if is_callable_compatible( + impl_type, + sig1, + is_compat=is_subtype, + is_proper_subtype=False, + is_compat_return=lambda l, r: is_subtype(r, l), + ): + continue + # If the above check didn't work, we repeat some key steps in + # is_callable_compatible() to give a better error message. + + # We perform a unification step that's very similar to what + # 'is_callable_compatible' does -- the only difference is that + # we check and see if the impl_type's return value is a + # *supertype* of the overload alternative, not a *subtype*. + # + # This is to match the direction the implementation's return + # needs to be compatible in. + if impl_type.variables: + impl: CallableType | None = unify_generic_callable( + # Normalize both before unifying + impl_type.with_unpacked_kwargs(), + sig1.with_unpacked_kwargs(), + ignore_return=False, + return_constraint_direction=SUPERTYPE_OF, + ) + if impl is None: + self.msg.overloaded_signatures_typevar_specific(i + 1, defn.impl) + continue + else: + impl = impl_type + + # Prevent extra noise from inconsistent use of @classmethod by copying + # the first arg from the method being checked against. + if sig1.arg_types and defn.info: + impl = impl.copy_modified(arg_types=[sig1.arg_types[0]] + impl.arg_types[1:]) + + # Is the overload alternative's arguments subtypes of the implementation's? + if not is_callable_compatible( + impl, sig1, is_compat=is_subtype, is_proper_subtype=False, ignore_return=True + ): + self.msg.overloaded_signatures_param_specific(i + 1, defn.impl) + + # Is the overload alternative's return type a subtype of the implementation's? + if not ( + is_subtype(sig1.ret_type, impl.ret_type) + or is_subtype(impl.ret_type, sig1.ret_type) + ): + self.msg.overloaded_signatures_ret_specific(i + 1, defn.impl) + + # Here's the scoop about generators and coroutines. + # + # There are two kinds of generators: classic generators (functions + # with `yield` or `yield from` in the body) and coroutines + # (functions declared with `async def`). The latter are specified + # in PEP 492 and only available in Python >= 3.5. + # + # Classic generators can be parameterized with three types: + # - ty is the Yield type (the type of y in `yield y`) + # - tc is the type reCeived by yield (the type of c in `c = yield`). + # - tr is the Return type (the type of r in `return r`) + # + # A classic generator must define a return type that's either + # `Generator[ty, tc, tr]`, Iterator[ty], or Iterable[ty] (or + # object or Any). If tc/tr are not given, both are None. + # + # A coroutine must define a return type corresponding to tr; the + # other two are unconstrained. The "external" return type (seen + # by the caller) is Awaitable[tr]. + # + # In addition, there's the synthetic type AwaitableGenerator: it + # inherits from both Awaitable and Generator and can be used both + # in `yield from` and in `await`. This type is set automatically + # for functions decorated with `@types.coroutine` or + # `@asyncio.coroutine`. Its single parameter corresponds to tr. + # + # PEP 525 adds a new type, the asynchronous generator, which was + # first released in Python 3.6. Async generators are `async def` + # functions that can also `yield` values. They can be parameterized + # with two types, ty and tc, because they cannot return a value. + # + # There are several useful methods, each taking a type t and a + # flag c indicating whether it's for a generator or coroutine: + # + # - is_generator_return_type(t, c) returns whether t is a Generator, + # Iterator, Iterable (if not c), or Awaitable (if c), or + # AwaitableGenerator (regardless of c). + # - is_async_generator_return_type(t) returns whether t is an + # AsyncGenerator. + # - get_generator_yield_type(t, c) returns ty. + # - get_generator_receive_type(t, c) returns tc. + # - get_generator_return_type(t, c) returns tr. + + def is_generator_return_type(self, typ: Type, is_coroutine: bool) -> bool: + """Is `typ` a valid type for a generator/coroutine? + + True if `typ` is a *supertype* of Generator or Awaitable. + Also true it it's *exactly* AwaitableGenerator (modulo type parameters). + """ + typ = get_proper_type(typ) + if is_coroutine: + # This means we're in Python 3.5 or later. + at = self.named_generic_type("typing.Awaitable", [AnyType(TypeOfAny.special_form)]) + if is_subtype(at, typ): + return True + else: + any_type = AnyType(TypeOfAny.special_form) + gt = self.named_generic_type("typing.Generator", [any_type, any_type, any_type]) + if is_subtype(gt, typ): + return True + return isinstance(typ, Instance) and typ.type.fullname == "typing.AwaitableGenerator" + + def is_async_generator_return_type(self, typ: Type) -> bool: + """Is `typ` a valid type for an async generator? + + True if `typ` is a supertype of AsyncGenerator. + """ + try: + any_type = AnyType(TypeOfAny.special_form) + agt = self.named_generic_type("typing.AsyncGenerator", [any_type, any_type]) + except KeyError: + # we're running on a version of typing that doesn't have AsyncGenerator yet + return False + return is_subtype(agt, typ) + + def get_generator_yield_type(self, return_type: Type, is_coroutine: bool) -> Type: + """Given the declared return type of a generator (t), return the type it yields (ty).""" + return_type = get_proper_type(return_type) + + if isinstance(return_type, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=return_type) + elif isinstance(return_type, UnionType): + return make_simplified_union( + [self.get_generator_yield_type(item, is_coroutine) for item in return_type.items] + ) + elif not self.is_generator_return_type( + return_type, is_coroutine + ) and not self.is_async_generator_return_type(return_type): + # If the function doesn't have a proper Generator (or + # Awaitable) return type, anything is permissible. + return AnyType(TypeOfAny.from_error) + elif not isinstance(return_type, Instance): + # Same as above, but written as a separate branch so the typechecker can understand. + return AnyType(TypeOfAny.from_error) + elif return_type.type.fullname == "typing.Awaitable": + # Awaitable: ty is Any. + return AnyType(TypeOfAny.special_form) + elif return_type.args: + # AwaitableGenerator, Generator, AsyncGenerator, Iterator, or Iterable; ty is args[0]. + ret_type = return_type.args[0] + # TODO not best fix, better have dedicated yield token + return ret_type + else: + # If the function's declared supertype of Generator has no type + # parameters (i.e. is `object`), then the yielded values can't + # be accessed so any type is acceptable. IOW, ty is Any. + # (However, see https://github.com/python/mypy/issues/1933) + return AnyType(TypeOfAny.special_form) + + def get_generator_receive_type(self, return_type: Type, is_coroutine: bool) -> Type: + """Given a declared generator return type (t), return the type its yield receives (tc).""" + return_type = get_proper_type(return_type) + + if isinstance(return_type, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=return_type) + elif isinstance(return_type, UnionType): + return make_simplified_union( + [self.get_generator_receive_type(item, is_coroutine) for item in return_type.items] + ) + elif not self.is_generator_return_type( + return_type, is_coroutine + ) and not self.is_async_generator_return_type(return_type): + # If the function doesn't have a proper Generator (or + # Awaitable) return type, anything is permissible. + return AnyType(TypeOfAny.from_error) + elif not isinstance(return_type, Instance): + # Same as above, but written as a separate branch so the typechecker can understand. + return AnyType(TypeOfAny.from_error) + elif return_type.type.fullname == "typing.Awaitable": + # Awaitable, AwaitableGenerator: tc is Any. + return AnyType(TypeOfAny.special_form) + elif ( + return_type.type.fullname in ("typing.Generator", "typing.AwaitableGenerator") + and len(return_type.args) >= 3 + ): + # Generator: tc is args[1]. + return return_type.args[1] + elif return_type.type.fullname == "typing.AsyncGenerator" and len(return_type.args) >= 2: + return return_type.args[1] + else: + # `return_type` is a supertype of Generator, so callers won't be able to send it + # values. IOW, tc is None. + return NoneType() + + def get_coroutine_return_type(self, return_type: Type) -> Type: + return_type = get_proper_type(return_type) + if isinstance(return_type, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=return_type) + assert isinstance(return_type, Instance), "Should only be called on coroutine functions." + # Note: return type is the 3rd type parameter of Coroutine. + return return_type.args[2] + + def get_generator_return_type(self, return_type: Type, is_coroutine: bool) -> Type: + """Given the declared return type of a generator (t), return the type it returns (tr).""" + return_type = get_proper_type(return_type) + + if isinstance(return_type, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=return_type) + elif isinstance(return_type, UnionType): + return make_simplified_union( + [self.get_generator_return_type(item, is_coroutine) for item in return_type.items] + ) + elif not self.is_generator_return_type(return_type, is_coroutine): + # If the function doesn't have a proper Generator (or + # Awaitable) return type, anything is permissible. + return AnyType(TypeOfAny.from_error) + elif not isinstance(return_type, Instance): + # Same as above, but written as a separate branch so the typechecker can understand. + return AnyType(TypeOfAny.from_error) + elif return_type.type.fullname == "typing.Awaitable" and len(return_type.args) == 1: + # Awaitable: tr is args[0]. + return return_type.args[0] + elif ( + return_type.type.fullname in ("typing.Generator", "typing.AwaitableGenerator") + and len(return_type.args) >= 3 + ): + # AwaitableGenerator, Generator: tr is args[2]. + return return_type.args[2] + else: + # We have a supertype of Generator (Iterator, Iterable, object) + # Treat `Iterator[X]` as a shorthand for `Generator[X, Any, None]`. + return NoneType() + + def visit_func_def(self, defn: FuncDef) -> None: + if not self.recurse_into_functions and not defn.def_or_infer_vars: + return + with self.tscope.function_scope(defn), self.set_recurse_into_functions(): + self.check_func_item(defn, name=defn.name) + if not self.can_skip_diagnostics: + if defn.info: + if not defn.is_overload and not defn.is_decorated: + # If the definition is the implementation for an + # overload, the legality of the override has already + # been typechecked, and decorated methods will be + # checked when the decorator is. + found_method_base_classes = self.check_method_override(defn) + self.check_explicit_override_decorator(defn, found_method_base_classes) + self.check_inplace_operator_method(defn) + if defn.original_def: + # Override previous definition. + new_type = self.function_type(defn) + self.check_func_def_override(defn, new_type) + + def check_func_item( + self, + defn: FuncItem, + type_override: CallableType | None = None, + name: str | None = None, + allow_empty: bool = False, + ) -> None: + """Type check a function. + + If type_override is provided, use it as the function type. + """ + self.dynamic_funcs.append(defn.is_dynamic() and not type_override) + + enclosing_node_deferred = self.current_node_deferred + with self.enter_partial_types(is_function=True): + typ = self.function_type(defn) + if type_override: + typ = type_override.copy_modified(line=typ.line, column=typ.column) + if isinstance(typ, CallableType): + with self.enter_attribute_inference_context(): + self.check_func_def(defn, typ, name, allow_empty) + else: + raise RuntimeError("Not supported") + + self.dynamic_funcs.pop() + self.current_node_deferred = enclosing_node_deferred + + if name == "__exit__": + self.check__exit__return_type(defn) + # TODO: the following logic should move to the dataclasses plugin + # https://github.com/python/mypy/issues/15515 + if name == "__post_init__": + if dataclasses_plugin.is_processed_dataclass(defn.info): + dataclasses_plugin.check_post_init(self, defn, defn.info) + + def check_func_def_override(self, defn: FuncDef, new_type: FunctionLike) -> None: + assert defn.original_def is not None + if isinstance(defn.original_def, FuncDef): + # Function definition overrides function definition. + old_type = self.function_type(defn.original_def) + if not is_same_type(new_type, old_type): + self.msg.incompatible_conditional_function_def(defn, old_type, new_type) + else: + # Function definition overrides a variable initialized via assignment or a + # decorated function. + orig_type = defn.original_def.type + if orig_type is None: + # If other branch is unreachable, we don't type check it and so we might + # not have a type for the original definition + return + if isinstance(orig_type, PartialType): + if orig_type.type is None: + # Ah this is a partial type. Give it the type of the function. + orig_def = defn.original_def + if isinstance(orig_def, Decorator): + var = orig_def.var + else: + var = orig_def + partial_types = self.find_partial_types(var) + if partial_types is not None: + var.type = new_type + del partial_types[var] + else: + # Trying to redefine something like partial empty list as function. + self.fail(message_registry.INCOMPATIBLE_REDEFINITION, defn) + else: + name_expr = NameExpr(defn.name) + name_expr.node = defn.original_def + self.binder.assign_type(name_expr, new_type, orig_type) + self.check_subtype( + new_type, + orig_type, + defn, + message_registry.INCOMPATIBLE_REDEFINITION, + "redefinition with type", + "original type", + ) + + @contextmanager + def enter_attribute_inference_context(self) -> Iterator[None]: + old_types = self.inferred_attribute_types + self.inferred_attribute_types = {} + yield None + self.inferred_attribute_types = old_types + + def check_func_def( + self, defn: FuncItem, typ: CallableType, name: str | None, allow_empty: bool = False + ) -> None: + """Type check a function definition.""" + # Expand type variables with value restrictions to ordinary types. + self.check_typevar_defaults(typ.variables) + expanded = self.expand_typevars(defn, typ) + original_typ = typ + for item, typ in expanded: + old_binder = self.binder + self.binder = ConditionalTypeBinder(self.options) + with self.binder.top_frame_context(): + defn.expanded.append(item) + + # We may be checking a function definition or an anonymous + # function. In the first case, set up another reference with the + # precise type. + if not self.can_skip_diagnostics: + self.check_funcdef_item(item, typ, name, defn=defn, original_typ=original_typ) + + # Fix the type if decorated with `@types.coroutine` or `@asyncio.coroutine`. + if defn.is_awaitable_coroutine: + # Update the return type to AwaitableGenerator. + # (This doesn't exist in typing.py, only in typing.pyi.) + t = typ.ret_type + c = defn.is_coroutine + ty = self.get_generator_yield_type(t, c) + tc = self.get_generator_receive_type(t, c) + if c: + tr = self.get_coroutine_return_type(t) + else: + tr = self.get_generator_return_type(t, c) + ret_type = self.named_generic_type( + "typing.AwaitableGenerator", [ty, tc, tr, t] + ) + typ = typ.copy_modified(ret_type=ret_type) + defn.type = typ + + # Push return type. + self.return_types.append(typ.ret_type) + + with self.scope.push_function(defn): + # We temporary push the definition to get the self type as + # visible from *inside* of this function/method. + ref_type: Type | None = self.scope.active_self_type() + + if typ.type_is: + arg_index = 0 + # For methods and classmethods, we want the second parameter + if ref_type is not None and defn.has_self_or_cls_argument: + arg_index = 1 + if arg_index < len(typ.arg_types) and not is_subtype( + typ.type_is, typ.arg_types[arg_index] + ): + self.fail( + message_registry.NARROWED_TYPE_NOT_SUBTYPE.format( + format_type(typ.type_is, self.options), + format_type(typ.arg_types[arg_index], self.options), + ), + item, + ) + + # Store argument types. + found_self = False + if isinstance(defn, FuncDef) and not defn.is_decorated: + found_self = self.require_correct_self_argument(typ, defn) + for i in range(len(typ.arg_types)): + arg_type = typ.arg_types[i] + if isinstance(arg_type, TypeVarType): + # Refuse covariant parameter type variables + # TODO: check recursively for inner type variables + if ( + arg_type.variance == COVARIANT + and defn.name not in ("__init__", "__new__", "__post_init__") + and not is_private(defn.name) # private methods are not inherited + and (i != 0 or not found_self) + ): + ctx: Context = arg_type + if ctx.line < 0: + ctx = typ + self.fail(message_registry.FUNCTION_PARAMETER_CANNOT_BE_COVARIANT, ctx) + # Need to store arguments again for the expanded item. + store_argument_type(item, i, typ, self.named_generic_type) + + # Type check initialization expressions. + body_is_trivial = is_trivial_body(defn.body) + if not self.can_skip_diagnostics: + self.check_default_params(item, body_is_trivial) + + # Type check body in a new scope. + with self.binder.top_frame_context(): + # Copy some type narrowings from an outer function when it seems safe enough + # (i.e. we can't find an assignment that might change the type of the + # variable afterwards). + new_frame: Frame | None = None + for frame in old_binder.frames: + for key, narrowed_type in frame.types.items(): + key_var = extract_var_from_literal_hash(key) + if key_var is not None and not self.is_var_redefined_in_outer_context( + key_var, defn.line + ): + # It seems safe to propagate the type narrowing to a nested scope. + if new_frame is None: + new_frame = self.binder.push_frame() + new_frame.types[key] = narrowed_type + self.binder.declarations[key] = old_binder.declarations[key] + + if self.options.allow_redefinition_new and not self.is_stub: + # Add formal argument types to the binder. + for arg in defn.arguments: + # TODO: Add these directly using a fast path (possibly "put") + v = arg.variable + if v.type is not None: + n = NameExpr(v.name) + n.node = v + self.binder.assign_type(n, v.type, v.type) + + with self.scope.push_function(defn): + # We suppress reachability warnings for empty generator functions + # (return; yield) which have a "yield" that's unreachable by definition + # since it's only there to promote the function into a generator function. + # + # We also suppress reachability warnings when we use TypeVars with value + # restrictions: we only want to report a warning if a certain statement is + # marked as being suppressed in *all* of the expansions, but we currently + # have no good way of doing this. + # + # TODO: Find a way of working around this limitation + if _is_empty_generator_function(item) or len(expanded) >= 2: + self.binder.suppress_unreachable_warnings() + # When checking a third-party library, we can skip function body, + # if during semantic analysis we found that there are no attributes + # defined via self here. + if ( + not self.can_skip_diagnostics + or self.options.preserve_asts + or not isinstance(defn, FuncDef) + or defn.def_or_infer_vars + ): + self.accept(item.body) + unreachable = self.binder.is_unreachable() + if new_frame is not None: + self.binder.pop_frame(True, 0) + + if not unreachable: + if defn.is_generator or is_named_instance( + self.return_types[-1], "typing.AwaitableGenerator" + ): + return_type = self.get_generator_return_type( + self.return_types[-1], defn.is_coroutine + ) + elif defn.is_coroutine: + return_type = self.get_coroutine_return_type(self.return_types[-1]) + else: + return_type = self.return_types[-1] + return_type = get_proper_type(return_type) + + allow_empty = allow_empty or self.options.allow_empty_bodies + + show_error = ( + not body_is_trivial + or + # Allow empty bodies for abstract methods, overloads, in tests and stubs. + ( + not allow_empty + and not ( + isinstance(defn, FuncDef) and defn.abstract_status != NOT_ABSTRACT + ) + and not self.is_stub + ) + ) + + if ( + self.can_skip_diagnostics + # Ignore plugin generated methods, these usually don't need any bodies. + or ( + defn.info is not FUNC_NO_INFO + and ( + defn.name not in defn.info.names + or defn.info.names[defn.name].plugin_generated + ) + ) + # Ignore also definitions that appear in `if TYPE_CHECKING: ...` blocks. + # These can't be called at runtime anyway (similar to plugin-generated). + or (isinstance(defn, FuncDef) and defn.is_mypy_only) + # We want to minimize the fallout from checking empty bodies + # that was absent in many mypy versions. + or (body_is_trivial and is_subtype(NoneType(), return_type)) + ): + show_error = False + + if show_error and not self.current_node_deferred: + may_be_abstract = ( + body_is_trivial + and defn.info is not FUNC_NO_INFO + and defn.info.metaclass_type is not None + and defn.info.metaclass_type.type.has_base("abc.ABCMeta") + ) + if self.options.warn_no_return: + if not isinstance(return_type, (NoneType, AnyType)): + # Control flow fell off the end of a function that was + # declared to return a non-None type. + if isinstance(return_type, UninhabitedType): + # This is a NoReturn function + msg = message_registry.INVALID_IMPLICIT_RETURN + else: + msg = message_registry.MISSING_RETURN_STATEMENT + if body_is_trivial: + msg = msg._replace(code=codes.EMPTY_BODY) + self.fail(msg, defn) + if may_be_abstract: + self.note(message_registry.EMPTY_BODY_ABSTRACT, defn) + else: + msg = message_registry.INCOMPATIBLE_RETURN_VALUE_TYPE + if body_is_trivial: + msg = msg._replace(code=codes.EMPTY_BODY) + # similar to code in check_return_stmt + if ( + not self.check_subtype( + subtype_label="implicitly returns", + subtype=NoneType(), + supertype_label="expected", + supertype=return_type, + context=defn, + msg=msg, + ) + and may_be_abstract + ): + self.note(message_registry.EMPTY_BODY_ABSTRACT, defn) + + self.return_types.pop() + + self.binder = old_binder + + def check_funcdef_item( + self, + item: FuncItem, + typ: CallableType, + name: str | None, + *, + defn: FuncItem, + original_typ: CallableType, + ) -> None: + if isinstance(item, FuncDef): + fdef = item + # Check if __init__ has an invalid return type. + if ( + fdef.info + and fdef.name in ("__init__", "__init_subclass__") + and not isinstance(get_proper_type(typ.ret_type), (NoneType, UninhabitedType)) + and not self.dynamic_funcs[-1] + ): + self.fail(message_registry.MUST_HAVE_NONE_RETURN_TYPE.format(fdef.name), item) + + # Check validity of __new__ signature + if fdef.info and fdef.name == "__new__": + self.check___new___signature(fdef, typ) + + self.check_for_missing_annotations(fdef) + if self.options.disallow_any_unimported: + if fdef.type and isinstance(fdef.type, CallableType): + ret_type = fdef.type.ret_type + if has_any_from_unimported_type(ret_type): + self.msg.unimported_type_becomes_any("Return type", ret_type, fdef) + for idx, arg_type in enumerate(fdef.type.arg_types): + if has_any_from_unimported_type(arg_type): + prefix = f'Argument {idx + 1} to "{fdef.name}"' + self.msg.unimported_type_becomes_any(prefix, arg_type, fdef) + check_for_explicit_any( + fdef.type, self.options, self.is_typeshed_stub, self.msg, context=fdef + ) + + if name: # Special method names + if ( + defn.info + and self.is_reverse_op_method(name) + and defn not in self.overload_impl_stack + ): + self.check_reverse_op_method(item, typ, name, defn) + elif name in ("__getattr__", "__getattribute__"): + self.check_getattr_method(typ, defn, name) + elif name == "__setattr__": + self.check_setattr_method(typ, defn) + + # Refuse contravariant return type variable + if isinstance(typ.ret_type, TypeVarType): + if typ.ret_type.variance == CONTRAVARIANT: + self.fail(message_registry.RETURN_TYPE_CANNOT_BE_CONTRAVARIANT, typ.ret_type) + self.check_unbound_return_typevar(typ) + elif isinstance(original_typ.ret_type, TypeVarType) and original_typ.ret_type.values: + # Since type vars with values are expanded, the return type is changed + # to a raw value. This is a hack to get it back. + self.check_unbound_return_typevar(original_typ) + + # Check that Generator functions have the appropriate return type. + if defn.is_generator: + if defn.is_async_generator: + if not self.is_async_generator_return_type(typ.ret_type): + self.fail(message_registry.INVALID_RETURN_TYPE_FOR_ASYNC_GENERATOR, typ) + else: + if not self.is_generator_return_type(typ.ret_type, defn.is_coroutine): + self.fail(message_registry.INVALID_RETURN_TYPE_FOR_GENERATOR, typ) + + def require_correct_self_argument(self, func: Type, defn: FuncDef) -> bool: + func = get_proper_type(func) + if not isinstance(func, CallableType): + return False + + # Do not report errors for untyped methods in classes nested in untyped funcs. + if not ( + self.options.check_untyped_defs + or len(self.dynamic_funcs) < 2 + or not self.dynamic_funcs[-2] + or not defn.is_dynamic() + ): + return bool(func.arg_types) + + with self.scope.push_function(defn): + # We temporary push the definition to get the self type as + # visible from *inside* of this function/method. + ref_type: Type | None = self.scope.active_self_type() + if ref_type is None: + return False + + if not defn.has_self_or_cls_argument or ( + func.arg_kinds and func.arg_kinds[0] in [nodes.ARG_STAR, nodes.ARG_STAR2] + ): + return False + + if not func.arg_types: + self.fail( + 'Method must have at least one argument. Did you forget the "self" argument?', defn + ) + return False + + if self.can_skip_diagnostics: + return True + + arg_type = func.arg_types[0] + if defn.is_class or defn.name == "__new__": + ref_type = mypy.types.TypeType.make_normalized(ref_type) + if is_same_type(arg_type, ref_type): + return True + + # This level of erasure matches the one in checkmember.check_self_arg(), + # better keep these two checks consistent. + erased = get_proper_type(erase_typevars(erase_to_bound(arg_type))) + if not is_subtype(ref_type, erased, ignore_type_params=True): + if ( + isinstance(erased, Instance) + and erased.type.is_protocol + or isinstance(erased, TypeType) + and isinstance(erased.item, Instance) + and erased.item.type.is_protocol + ): + # We allow the explicit self-type to be not a supertype of + # the current class if it is a protocol. For such cases + # the consistency check will be performed at call sites. + msg = None + elif func.arg_names[0] in {"self", "cls"}: + msg = message_registry.ERASED_SELF_TYPE_NOT_SUPERTYPE.format( + erased.str_with_options(self.options), ref_type.str_with_options(self.options) + ) + else: + msg = message_registry.MISSING_OR_INVALID_SELF_TYPE + if msg: + self.fail(msg, defn) + return True + + def is_var_redefined_in_outer_context(self, v: Var, after_line: int) -> bool: + """Can the variable be assigned to at module top level or outer function? + + Note that this doesn't do a full CFG analysis but uses a line number based + heuristic that isn't correct in some (rare) cases. + """ + if v.is_final: + # Final vars are definitely never reassigned. + return False + + outers = self.tscope.outer_functions() + if not outers: + # Top-level function -- outer context is top level, and we can't reason about + # globals + return True + for outer in outers: + if isinstance(outer, FuncDef): + if find_last_var_assignment_line(outer.body, v) >= after_line: + return True + return False + + def check_unbound_return_typevar(self, typ: CallableType) -> None: + """Fails when the return typevar is not defined in arguments.""" + if isinstance(typ.ret_type, TypeVarType) and typ.ret_type in typ.variables: + arg_type_visitor = CollectArgTypeVarTypes() + for argtype in typ.arg_types: + argtype.accept(arg_type_visitor) + + if typ.ret_type not in arg_type_visitor.arg_types: + self.fail(message_registry.UNBOUND_TYPEVAR, typ.ret_type, code=TYPE_VAR) + upper_bound = get_proper_type(typ.ret_type.upper_bound) + if not ( + isinstance(upper_bound, Instance) + and upper_bound.type.fullname == "builtins.object" + ): + self.note( + "Consider using the upper bound " + f"{format_type(typ.ret_type.upper_bound, self.options)} instead", + context=typ.ret_type, + ) + + def check_default_params(self, item: FuncItem, body_is_trivial: bool) -> None: + for param in item.arguments: + if param.initializer is None: + continue + if body_is_trivial and isinstance(param.initializer, EllipsisExpr): + continue + name = param.variable.name + msg = "Incompatible default for " + if name.startswith("__tuple_param_"): + msg += f"tuple parameter {name[12:]}" + else: + msg += f'parameter "{name}"' + if ( + not self.options.implicit_optional + and isinstance(param.initializer, NameExpr) + and param.initializer.fullname == "builtins.None" + ): + notes = [ + "PEP 484 prohibits implicit Optional. " + "Accordingly, mypy has changed its default to no_implicit_optional=True", + "Use https://github.com/hauntsaninja/no_implicit_optional to automatically " + "upgrade your codebase", + ] + else: + notes = None + self.check_simple_assignment( + param.variable.type, + param.initializer, + context=param.initializer, + msg=ErrorMessage(msg, code=codes.ASSIGNMENT), + lvalue_name="parameter", + rvalue_name="default", + notes=notes, + ) + + def is_forward_op_method(self, method_name: str) -> bool: + return method_name in operators.reverse_op_methods + + def is_reverse_op_method(self, method_name: str) -> bool: + return method_name in operators.reverse_op_method_set + + def check_for_missing_annotations(self, fdef: FuncItem) -> None: + show_untyped = not self.is_typeshed_stub or self.options.warn_incomplete_stub + if not show_untyped: + return + + # Check for functions with unspecified/not fully specified types. + def is_unannotated_any(t: Type) -> bool: + if not isinstance(t, ProperType): + return False + return isinstance(t, AnyType) and t.type_of_any == TypeOfAny.unannotated + + has_explicit_annotation = isinstance(fdef.type, CallableType) and any( + not is_unannotated_any(t) for t in fdef.type.arg_types + [fdef.type.ret_type] + ) + + check_incomplete_defs = self.options.disallow_incomplete_defs and has_explicit_annotation + if self.options.disallow_untyped_defs or check_incomplete_defs: + if fdef.type is None and self.options.disallow_untyped_defs: + if not fdef.arguments or ( + len(fdef.arguments) == 1 + and (fdef.arg_names[0] == "self" or fdef.arg_names[0] == "cls") + ): + self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) + if not has_return_statement(fdef) and not fdef.is_generator: + self.note( + 'Use "-> None" if function does not return a value', + fdef, + code=codes.NO_UNTYPED_DEF, + ) + else: + self.fail(message_registry.FUNCTION_TYPE_EXPECTED, fdef) + elif isinstance(fdef.type, CallableType): + ret_type = get_proper_type(fdef.type.ret_type) + if is_unannotated_any(ret_type): + self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) + elif fdef.is_generator: + if is_unannotated_any( + self.get_generator_return_type(ret_type, fdef.is_coroutine) + ): + self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) + elif fdef.is_coroutine and isinstance(ret_type, Instance): + if is_unannotated_any(self.get_coroutine_return_type(ret_type)): + self.fail(message_registry.RETURN_TYPE_EXPECTED, fdef) + if any(is_unannotated_any(t) for t in fdef.type.arg_types): + self.fail(message_registry.PARAM_TYPE_EXPECTED, fdef) + + def check___new___signature(self, fdef: FuncDef, typ: CallableType) -> None: + self_type = fill_typevars_with_any(fdef.info) + bound_type = bind_self(typ, self_type, is_classmethod=True) + # Check that __new__ (after binding cls) returns an instance + # type (or any). + if fdef.info.is_metaclass(): + # This is a metaclass, so it must return a new unrelated type. + self.check_subtype( + bound_type.ret_type, + self.type_type(), + fdef, + message_registry.INVALID_NEW_TYPE, + "returns", + "but must return a subtype of", + ) + elif not isinstance( + get_proper_type(bound_type.ret_type), + (AnyType, Instance, TupleType, UninhabitedType, LiteralType), + ): + self.fail( + message_registry.NON_INSTANCE_NEW_TYPE.format( + format_type(bound_type.ret_type, self.options) + ), + fdef, + ) + else: + # And that it returns a subtype of the class + self.check_subtype( + bound_type.ret_type, + self_type, + fdef, + message_registry.INVALID_NEW_TYPE, + "returns", + "but must return a subtype of", + ) + + def check_reverse_op_method( + self, defn: FuncItem, reverse_type: CallableType, reverse_name: str, context: Context + ) -> None: + """Check a reverse operator method such as __radd__.""" + # Decides whether it's worth calling check_overlapping_op_methods(). + + # This used to check for some very obscure scenario. It now + # just decides whether it's worth calling + # check_overlapping_op_methods(). + + assert defn.info + + # First check for a valid signature + method_type = CallableType( + [AnyType(TypeOfAny.special_form), AnyType(TypeOfAny.special_form)], + [nodes.ARG_POS, nodes.ARG_POS], + [None, None], + AnyType(TypeOfAny.special_form), + self.named_type("builtins.function"), + ) + if not is_subtype(reverse_type, method_type): + self.msg.invalid_signature(reverse_type, context) + return + + if reverse_name in ("__eq__", "__ne__"): + # These are defined for all objects => can't cause trouble. + return + + # With 'Any' or 'object' return type we are happy, since any possible + # return value is valid. + ret_type = get_proper_type(reverse_type.ret_type) + if isinstance(ret_type, AnyType): + return + if isinstance(ret_type, Instance): + if ret_type.type.fullname == "builtins.object": + return + if reverse_type.arg_kinds[0] == ARG_STAR: + reverse_type = reverse_type.copy_modified( + arg_types=[reverse_type.arg_types[0]] * 2, + arg_kinds=[ARG_POS] * 2, + arg_names=[reverse_type.arg_names[0], "_"], + ) + assert len(reverse_type.arg_types) >= 2 + + forward_name = operators.normal_from_reverse_op[reverse_name] + forward_inst = get_proper_type(reverse_type.arg_types[1]) + if isinstance(forward_inst, TypeVarType): + forward_inst = get_proper_type(forward_inst.upper_bound) + elif isinstance(forward_inst, TupleType): + forward_inst = tuple_fallback(forward_inst) + elif isinstance(forward_inst, (FunctionLike, TypedDictType, LiteralType)): + forward_inst = forward_inst.fallback + if isinstance(forward_inst, TypeType): + item = forward_inst.item + if isinstance(item, Instance): + opt_meta = item.type.metaclass_type + if opt_meta is not None: + forward_inst = opt_meta + + def has_readable_member(typ: UnionType | Instance, name: str) -> bool: + # TODO: Deal with attributes of TupleType etc. + if isinstance(typ, Instance): + return typ.type.has_readable_member(name) + return all( + (isinstance(x, UnionType) and has_readable_member(x, name)) + or (isinstance(x, Instance) and x.type.has_readable_member(name)) + for x in get_proper_types(typ.relevant_items()) + ) + + if not ( + isinstance(forward_inst, (Instance, UnionType)) + and has_readable_member(forward_inst, forward_name) + ): + return + forward_base = reverse_type.arg_types[1] + forward_type = self.expr_checker.analyze_external_member_access( + forward_name, forward_base, context=defn + ) + self.check_overlapping_op_methods( + reverse_type, + reverse_name, + defn.info, + forward_type, + forward_name, + forward_base, + context=defn, + ) + + def check_overlapping_op_methods( + self, + reverse_type: CallableType, + reverse_name: str, + reverse_class: TypeInfo, + forward_type: Type, + forward_name: str, + forward_base: Type, + context: Context, + ) -> None: + """Check for overlapping method and reverse method signatures. + + This function assumes that: + + - The reverse method has valid argument count and kinds. + - If the reverse operator method accepts some argument of type + X, the forward operator method also belong to class X. + + For example, if we have the reverse operator `A.__radd__(B)`, then the + corresponding forward operator must have the type `B.__add__(...)`. + """ + + # Note: Suppose we have two operator methods "A.__rOP__(B) -> R1" and + # "B.__OP__(C) -> R2". We check if these two methods are unsafely overlapping + # by using the following algorithm: + # + # 1. Rewrite "B.__OP__(C) -> R1" to "temp1(B, C) -> R1" + # + # 2. Rewrite "A.__rOP__(B) -> R2" to "temp2(B, A) -> R2" + # + # 3. Treat temp1 and temp2 as if they were both variants in the same + # overloaded function. (This mirrors how the Python runtime calls + # operator methods: we first try __OP__, then __rOP__.) + # + # If the first signature is unsafely overlapping with the second, + # report an error. + # + # 4. However, if temp1 shadows temp2 (e.g. the __rOP__ method can never + # be called), do NOT report an error. + # + # This behavior deviates from how we handle overloads -- many of the + # modules in typeshed seem to define __OP__ methods that shadow the + # corresponding __rOP__ method. + # + # Note: we do not attempt to handle unsafe overlaps related to multiple + # inheritance. (This is consistent with how we handle overloads: we also + # do not try checking unsafe overlaps due to multiple inheritance there.) + + for forward_item in flatten_nested_unions([forward_type]): + forward_item = get_proper_type(forward_item) + if isinstance(forward_item, CallableType): + if self.is_unsafe_overlapping_op(forward_item, forward_base, reverse_type): + self.msg.operator_method_signatures_overlap( + reverse_class, reverse_name, forward_base, forward_name, context + ) + elif isinstance(forward_item, Overloaded): + for item in forward_item.items: + if self.is_unsafe_overlapping_op(item, forward_base, reverse_type): + self.msg.operator_method_signatures_overlap( + reverse_class, reverse_name, forward_base, forward_name, context + ) + elif not isinstance(forward_item, AnyType): + self.msg.forward_operator_not_callable(forward_name, context) + + def is_unsafe_overlapping_op( + self, forward_item: CallableType, forward_base: Type, reverse_type: CallableType + ) -> bool: + # TODO: check argument kinds? + if len(forward_item.arg_types) < 1: + # Not a valid operator method -- can't succeed anyway. + return False + + # Erase the type if necessary to make sure we don't have a single + # TypeVar in forward_tweaked. (Having a function signature containing + # just a single TypeVar can lead to unpredictable behavior.) + forward_base_erased = forward_base + if isinstance(forward_base, TypeVarType): + forward_base_erased = erase_to_bound(forward_base) + + # Construct normalized function signatures corresponding to the + # operator methods. The first argument is the left operand and the + # second operand is the right argument -- we switch the order of + # the arguments of the reverse method. + + # TODO: this manipulation is dangerous if callables are generic. + # Shuffling arguments between callables can create meaningless types. + forward_tweaked = forward_item.copy_modified( + arg_types=[forward_base_erased, forward_item.arg_types[0]], + arg_kinds=[nodes.ARG_POS] * 2, + arg_names=[None] * 2, + ) + reverse_tweaked = reverse_type.copy_modified( + arg_types=[reverse_type.arg_types[1], reverse_type.arg_types[0]], + arg_kinds=[nodes.ARG_POS] * 2, + arg_names=[None] * 2, + ) + + reverse_base_erased = reverse_type.arg_types[0] + if isinstance(reverse_base_erased, TypeVarType): + reverse_base_erased = erase_to_bound(reverse_base_erased) + + if is_same_type(reverse_base_erased, forward_base_erased): + return False + elif is_subtype(reverse_base_erased, forward_base_erased): + first = reverse_tweaked + second = forward_tweaked + else: + first = forward_tweaked + second = reverse_tweaked + + current_class = self.scope.active_class() + type_vars = current_class.defn.type_vars if current_class else [] + return is_unsafe_overlapping_overload_signatures( + first, second, type_vars, partial_only=False + ) + + def check_inplace_operator_method(self, defn: FuncBase) -> None: + """Check an inplace operator method such as __iadd__. + + They cannot arbitrarily overlap with __add__. + """ + method = defn.name + if method not in operators.inplace_operator_methods: + return + typ = bind_self(self.function_type(defn)) + cls = defn.info + other_method = "__" + method[3:] + if cls.has_readable_member(other_method): + instance = fill_typevars(cls) + typ2 = get_proper_type( + self.expr_checker.analyze_external_member_access(other_method, instance, defn) + ) + fail = False + if isinstance(typ2, FunctionLike): + if not is_more_general_arg_prefix(typ, typ2): + fail = True + else: + # TODO overloads + fail = True + if fail: + self.msg.signatures_incompatible(method, other_method, defn) + + def check_getattr_method(self, typ: Type, context: Context, name: str) -> None: + if len(self.scope.stack) == 1: + # module scope + if name == "__getattribute__": + self.fail(message_registry.MODULE_LEVEL_GETATTRIBUTE, context) + return + # __getattr__ is fine at the module level as of Python 3.7 (PEP 562). We could + # show an error for Python < 3.7, but that would be annoying in code that supports + # both 3.7 and older versions. + method_type = CallableType( + [self.named_type("builtins.str")], + [nodes.ARG_POS], + [None], + AnyType(TypeOfAny.special_form), + self.named_type("builtins.function"), + ) + elif self.scope.active_class(): + method_type = CallableType( + [AnyType(TypeOfAny.special_form), self.named_type("builtins.str")], + [nodes.ARG_POS, nodes.ARG_POS], + [None, None], + AnyType(TypeOfAny.special_form), + self.named_type("builtins.function"), + ) + else: + return + if not is_subtype(typ, method_type): + self.msg.invalid_signature_for_special_method(typ, context, name) + + def check_setattr_method(self, typ: Type, context: Context) -> None: + if not self.scope.active_class(): + return + method_type = CallableType( + [ + AnyType(TypeOfAny.special_form), + self.named_type("builtins.str"), + AnyType(TypeOfAny.special_form), + ], + [nodes.ARG_POS, nodes.ARG_POS, nodes.ARG_POS], + [None, None, None], + NoneType(), + self.named_type("builtins.function"), + ) + if not is_subtype(typ, method_type): + self.msg.invalid_signature_for_special_method(typ, context, "__setattr__") + + def check_slots_definition(self, typ: Type, context: Context) -> None: + """Check the type of __slots__.""" + str_type = self.named_type("builtins.str") + expected_type = UnionType( + [str_type, self.named_generic_type("typing.Iterable", [str_type])] + ) + self.check_subtype( + typ, + expected_type, + context, + message_registry.INVALID_TYPE_FOR_SLOTS, + "actual type", + "expected type", + code=codes.ASSIGNMENT, + ) + + def check_match_args(self, var: Var, typ: Type, context: Context) -> None: + """Check that __match_args__ contains literal strings""" + if not self.scope.active_class(): + return + typ = get_proper_type(typ) + if not isinstance(typ, TupleType) or not all( + is_string_literal(item) for item in typ.items + ): + self.msg.note( + "__match_args__ must be a tuple containing string literals for checking " + "of match statements to work", + context, + code=codes.LITERAL_REQ, + ) + + def expand_typevars( + self, defn: FuncItem, typ: CallableType + ) -> list[tuple[FuncItem, CallableType]]: + # TODO use generator + subst: list[list[tuple[TypeVarId, Type]]] = [] + tvars = list(typ.variables) or [] + if defn.info: + # Class type variables + tvars += defn.info.defn.type_vars or [] + for tvar in tvars: + if isinstance(tvar, TypeVarType) and tvar.values: + subst.append([(tvar.id, value) for value in tvar.values]) + # Make a copy of the function to check for each combination of + # value restricted type variables. (Except when running mypyc, + # where we need one canonical version of the function.) + if subst and not (self.options.mypyc or self.options.inspections): + result: list[tuple[FuncItem, CallableType]] = [] + for substitutions in itertools.product(*subst): + mapping = dict(substitutions) + result.append((expand_func(defn, mapping), expand_type(typ, mapping))) + return result + else: + return [(defn, typ)] + + def check_explicit_override_decorator( + self, + defn: FuncDef | OverloadedFuncDef, + found_method_base_classes: list[TypeInfo] | None, + context: Context | None = None, + ) -> None: + plugin_generated = False + if defn.info and (node := defn.info.get(defn.name)) and node.plugin_generated: + # Do not report issues for plugin generated nodes, + # they can't realistically use `@override` for their methods. + plugin_generated = True + + if ( + not plugin_generated + and found_method_base_classes + and not defn.is_explicit_override + and defn.name not in ("__init__", "__new__") + and not is_private(defn.name) + ): + self.msg.explicit_override_decorator_missing( + defn.name, found_method_base_classes[0].fullname, context or defn + ) + + def check_method_override( + self, defn: FuncDef | OverloadedFuncDef | Decorator + ) -> list[TypeInfo] | None: + """Check if function definition is compatible with base classes. + + This may defer the method if a signature is not available in at least one base class. + Return ``None`` if that happens. + + Return a list of base classes which contain an attribute with the method name. + """ + if self.can_skip_diagnostics: + return None + # Check against definitions in base classes. + check_override_compatibility = ( + defn.name not in ("__init__", "__new__", "__init_subclass__", "__post_init__") + and (self.options.check_untyped_defs or not defn.is_dynamic()) + and ( + # don't check override for synthesized __replace__ methods from dataclasses + defn.name != "__replace__" + or defn.info.metadata.get("dataclass_tag") is None + ) + ) + found_method_base_classes: list[TypeInfo] = [] + for base in defn.info.mro[1:]: + result = self.check_method_or_accessor_override_for_base( + defn, base, check_override_compatibility + ) + if result is None: + # Node was deferred, we will have another attempt later. + return None + if result: + found_method_base_classes.append(base) + return found_method_base_classes + + def check_method_or_accessor_override_for_base( + self, + defn: FuncDef | OverloadedFuncDef | Decorator, + base: TypeInfo, + check_override_compatibility: bool, + ) -> bool | None: + """Check if method definition is compatible with a base class. + + Return ``None`` if the node was deferred because one of the corresponding + superclass nodes is not ready. + + Return ``True`` if an attribute with the method name was found in the base class. + """ + found_base_method = False + if base: + name = defn.name + base_attr = base.names.get(name) + if base_attr: + # First, check if we override a final (always an error, even with Any types). + if is_final_node(base_attr.node) and not is_private(name): + self.msg.cant_override_final(name, base.name, defn) + # Second, final can't override anything writeable independently of types. + if defn.is_final: + self.check_if_final_var_override_writable(name, base_attr.node, defn) + found_base_method = True + if check_override_compatibility: + # Check compatibility of the override signature + # (__init__, __new__, __init_subclass__ are special). + if self.check_method_override_for_base_with_name(defn, name, base): + return None + if name in operators.inplace_operator_methods: + # Figure out the name of the corresponding operator method. + method = "__" + name[3:] + # An inplace operator method such as __iadd__ might not be + # always introduced safely if a base class defined __add__. + # TODO can't come up with an example where this is + # necessary; now it's "just in case" + if self.check_method_override_for_base_with_name(defn, method, base): + return None + return found_base_method + + def check_setter_type_override(self, defn: OverloadedFuncDef, base: TypeInfo) -> None: + """Check override of a setter type of a mutable attribute. + + Currently, this should be only called when either base node or the current node + is a custom settable property (i.e. where setter type is different from getter type). + Note that this check is contravariant. + """ + typ, _ = self.node_type_from_base(defn.name, defn.info, defn, setter_type=True) + original_type, _ = self.node_type_from_base(defn.name, base, defn, setter_type=True) + # The caller should handle deferrals. + assert typ is not None and original_type is not None + + if not is_subtype(original_type, typ): + self.msg.incompatible_setter_override(defn.setter, typ, original_type, base) + + def check_method_override_for_base_with_name( + self, defn: FuncDef | OverloadedFuncDef | Decorator, name: str, base: TypeInfo + ) -> bool: + """Check if overriding an attribute `name` of `base` with `defn` is valid. + + Return True if the supertype node was not analysed yet, and `defn` was deferred. + """ + base_attr = base.names.get(name) + if not base_attr: + return False + # The name of the method is defined in the base class. + + # Point errors at the 'def' line (important for backward compatibility + # of type ignores). + if not isinstance(defn, Decorator): + context = defn + else: + context = defn.func + + # Construct the type of the overriding method. + if isinstance(defn, (FuncDef, OverloadedFuncDef)): + override_class_or_static = defn.is_class or defn.is_static + else: + override_class_or_static = defn.func.is_class or defn.func.is_static + typ, _ = self.node_type_from_base(defn.name, defn.info, defn) + if typ is None: + # This may only happen if we're checking `x-redefinition` member + # and `x` itself is for some reason gone. Normally the node should + # be reachable from the containing class by its name. + # The redefinition is never removed, use this as a sanity check to verify + # the reasoning above. + assert f"{defn.name}-redefinition" in defn.info.names + return False + + original_node = base_attr.node + # `original_type` can be partial if (e.g.) it is originally an + # instance variable from an `__init__` block that becomes deferred. + supertype_ready = True + original_type, _ = self.node_type_from_base(name, base, defn) + if original_type is None: + supertype_ready = False + if self.pass_num < self.last_pass: + # If there are passes left, defer this node until next pass, + # otherwise try reconstructing the method type from available information. + # For consistency, defer an enclosing top-level function (if any). + top_level = self.scope.top_level_function() + if isinstance(top_level, FuncDef): + self.defer_node(top_level, self.scope.enclosing_class(top_level)) + else: + # Specify enclosing class explicitly, as we check type override before + # entering e.g. decorators or overloads. + self.defer_node(defn, defn.info) + return True + elif isinstance(original_node, (FuncDef, OverloadedFuncDef)): + original_type = self.function_type(original_node) + elif isinstance(original_node, Decorator): + original_type = self.function_type(original_node.func) + elif isinstance(original_node, Var): + # Super type can define method as an attribute. + # See https://github.com/python/mypy/issues/10134 + + # We also check that sometimes `original_node.type` is None. + # This is the case when we use something like `__hash__ = None`. + if original_node.type is not None: + original_type = get_proper_type(original_node.type) + else: + original_type = NoneType() + else: + # Will always fail to typecheck below, since we know the node is a method + original_type = NoneType() + + always_allow_covariant = False + if is_settable_property(defn) and ( + is_settable_property(original_node) or isinstance(original_node, Var) + ): + if is_custom_settable_property(defn) or (is_custom_settable_property(original_node)): + # Unlike with getter, where we try to construct some fallback type in case of + # deferral during last_pass, we can't make meaningful setter checks if the + # supertype is not known precisely. + if supertype_ready: + always_allow_covariant = True + self.check_setter_type_override(defn, base) + + if isinstance(original_node, (FuncDef, OverloadedFuncDef)): + original_class_or_static = original_node.is_class or original_node.is_static + elif isinstance(original_node, Decorator): + fdef = original_node.func + original_class_or_static = fdef.is_class or fdef.is_static + else: + original_class_or_static = False # a variable can't be class or static + + typ = get_proper_type(typ) + original_type = get_proper_type(original_type) + + if ( + is_property(defn) + and isinstance(original_node, Var) + and not original_node.is_final + and (not original_node.is_property or original_node.is_settable_property) + and isinstance(defn, Decorator) + ): + # We only give an error where no other similar errors will be given. + if not isinstance(original_type, AnyType): + self.msg.fail( + "Cannot override writeable attribute with read-only property", + # Give an error on function line to match old behaviour. + defn.func, + code=codes.OVERRIDE, + ) + + if isinstance(original_type, AnyType) or isinstance(typ, AnyType): + pass + elif isinstance(original_type, FunctionLike) and isinstance(typ, FunctionLike): + # Check that the types are compatible. + ok = self.check_override( + typ, + original_type, + defn.name, + name, + base.name if base.module_name == self.tree.fullname else base.fullname, + original_class_or_static, + override_class_or_static, + context, + ) + # Check if this override is covariant. + if ( + ok + and original_node + and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes + and self.is_writable_attribute(original_node) + and not always_allow_covariant + and not is_subtype(original_type, typ, ignore_pos_arg_names=True) + ): + base_str, override_str = format_type_distinctly( + original_type, typ, options=self.options + ) + msg = message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE.with_additional_msg( + f' (base class "{base.name}" defined the type as {base_str},' + f" override has type {override_str})" + ) + self.fail(msg, context) + elif isinstance(original_type, UnionType) and any( + is_subtype(typ, orig_typ, ignore_pos_arg_names=True) + for orig_typ in original_type.items + ): + # This method is a subtype of at least one union variant. + if ( + original_node + and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes + and self.is_writable_attribute(original_node) + and not always_allow_covariant + ): + # Covariant override of mutable attribute. + base_str, override_str = format_type_distinctly( + original_type, typ, options=self.options + ) + msg = message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE.with_additional_msg( + f' (base class "{base.name}" defined the type as {base_str},' + f" override has type {override_str})" + ) + self.fail(msg, context) + elif is_equivalent(original_type, typ): + # Assume invariance for a non-callable attribute here. Note + # that this doesn't affect read-only properties which can have + # covariant overrides. + pass + elif ( + original_node + and (not self.is_writable_attribute(original_node) or always_allow_covariant) + and is_subtype(typ, original_type) + ): + # If the attribute is read-only, allow covariance + pass + else: + self.msg.signature_incompatible_with_supertype( + defn.name, name, base.name, context, original=original_type, override=typ + ) + return False + + def get_op_other_domain(self, tp: FunctionLike) -> Type | None: + if isinstance(tp, CallableType): + if tp.arg_kinds and tp.arg_kinds[0] == ARG_POS: + # For generic methods, domain comparison is tricky, as a first + # approximation erase all remaining type variables. + return erase_typevars(tp.arg_types[0], {v.id for v in tp.variables}) + return None + elif isinstance(tp, Overloaded): + raw_items = [self.get_op_other_domain(it) for it in tp.items] + items = [it for it in raw_items if it] + if items: + return make_simplified_union(items) + return None + else: + assert False, "Need to check all FunctionLike subtypes here" + + def check_override( + self, + override: FunctionLike, + original: FunctionLike, + name: str, + name_in_super: str, + supertype: str, + original_class_or_static: bool, + override_class_or_static: bool, + node: Context, + ) -> bool: + """Check a method override with given signatures. + + Arguments: + override: The signature of the overriding method. + original: The signature of the original supertype method. + name: The name of the overriding method. + Used primarily for generating error messages. + name_in_super: The name of the overridden in the superclass. + Used for generating error messages only. + supertype: The name of the supertype. + original_class_or_static: Indicates whether the original method (from the superclass) + is either a class method or a static method. + override_class_or_static: Indicates whether the overriding method (from the subclass) + is either a class method or a static method. + node: Context node. + """ + # Use boolean variable to clarify code. + fail = False + op_method_wider_note = False + if not is_subtype(override, original, ignore_pos_arg_names=True): + fail = True + elif isinstance(override, Overloaded) and self.is_forward_op_method(name): + # Operator method overrides cannot extend the domain, as + # this could be unsafe with reverse operator methods. + original_domain = self.get_op_other_domain(original) + override_domain = self.get_op_other_domain(override) + if ( + original_domain + and override_domain + and not is_subtype(override_domain, original_domain) + ): + fail = True + op_method_wider_note = True + if isinstance(override, FunctionLike): + if original_class_or_static and not override_class_or_static: + fail = True + elif isinstance(original, CallableType) and isinstance(override, CallableType): + if original.type_guard is not None and override.type_guard is None: + fail = True + if original.type_is is not None and override.type_is is None: + fail = True + + if is_private(name): + fail = False + + if fail: + emitted_msg = False + + offset_arguments = isinstance(override, CallableType) and override.unpack_kwargs + # Normalize signatures, so we get better diagnostics. + if isinstance(override, (CallableType, Overloaded)): + override = override.with_unpacked_kwargs() + if isinstance(original, (CallableType, Overloaded)): + original = original.with_unpacked_kwargs() + + if ( + isinstance(override, CallableType) + and isinstance(original, CallableType) + and len(override.arg_types) == len(original.arg_types) + and override.min_args == original.min_args + ): + # Give more detailed messages for the common case of both + # signatures having the same number of arguments and no + # overloads. + + # override might have its own generic function type + # variables. If an argument or return type of override + # does not have the correct subtyping relationship + # with the original type even after these variables + # are erased, then it is definitely an incompatibility. + + override_ids = override.type_var_ids() + type_name = None + definition = get_func_def(override) + if isinstance(definition, FuncDef): + type_name = definition.info.name + + def erase_override(t: Type) -> Type: + return erase_typevars(t, ids_to_erase=override_ids) + + for i, (sub_kind, super_kind) in enumerate( + zip(override.arg_kinds, original.arg_kinds) + ): + if sub_kind.is_positional() and super_kind.is_positional(): + override_arg_type = override.arg_types[i] + original_arg_type = original.arg_types[i] + elif sub_kind.is_named() and super_kind.is_named() and not offset_arguments: + arg_name = override.arg_names[i] + if arg_name in original.arg_names: + override_arg_type = override.arg_types[i] + original_i = original.arg_names.index(arg_name) + original_arg_type = original.arg_types[original_i] + else: + continue + else: + continue + if not is_subtype(original_arg_type, erase_override(override_arg_type)): + context: Context = node + if ( + isinstance(node, FuncDef) + and not node.is_property + and ( + not node.is_decorated # fast path + # allow trivial decorators like @classmethod and @override + or not (sym := node.info.get(node.name)) + or not isinstance(sym.node, Decorator) + or not sym.node.decorators + ) + ): + # If there's any decorator, we can no longer map arguments 1:1 reliably. + arg_node = node.arguments[i + override.bound()] + if arg_node.line != -1: + context = arg_node + self.msg.argument_incompatible_with_supertype( + i + 1, + name, + type_name, + name_in_super, + original_arg_type, + supertype, + context, + origin_context=node, + ) + emitted_msg = True + + if not is_subtype(erase_override(override.ret_type), original.ret_type): + self.msg.return_type_incompatible_with_supertype( + name, name_in_super, supertype, original.ret_type, override.ret_type, node + ) + emitted_msg = True + elif isinstance(override, Overloaded) and isinstance(original, Overloaded): + # Give a more detailed message in the case where the user is trying to + # override an overload, and the subclass's overload is plausible, except + # that the order of the variants are wrong. + # + # For example, if the parent defines the overload f(int) -> int and f(str) -> str + # (in that order), and if the child swaps the two and does f(str) -> str and + # f(int) -> int + order = [] + for child_variant in override.items: + for i, parent_variant in enumerate(original.items): + if is_subtype(child_variant, parent_variant): + order.append(i) + break + + if len(order) == len(original.items) and order != sorted(order): + self.msg.overload_signature_incompatible_with_supertype( + name, name_in_super, supertype, node + ) + emitted_msg = True + + if not emitted_msg: + # Fall back to generic incompatibility message. + self.msg.signature_incompatible_with_supertype( + name, name_in_super, supertype, node, original=original, override=override + ) + if op_method_wider_note: + self.note( + "Overloaded operator methods can't have wider argument types in overrides", + node, + code=codes.OVERRIDE, + ) + return not fail + + def check__exit__return_type(self, defn: FuncItem) -> None: + """Generate error if the return type of __exit__ is problematic. + + If __exit__ always returns False but the return type is declared + as bool, mypy thinks that a with statement may "swallow" + exceptions even though this is not the case, resulting in + invalid reachability inference. + """ + if not defn.type or not isinstance(defn.type, CallableType): + return + + ret_type = get_proper_type(defn.type.ret_type) + if not has_bool_item(ret_type): + return + + returns = all_return_statements(defn) + if not returns: + return + + if all( + isinstance(ret.expr, NameExpr) and ret.expr.fullname == "builtins.False" + for ret in returns + ): + self.msg.incorrect__exit__return(defn) + + def visit_class_def(self, defn: ClassDef) -> None: + """Type check a class definition.""" + typ = defn.info + for base in typ.mro[1:]: + if base.is_final: + self.fail(message_registry.CANNOT_INHERIT_FROM_FINAL.format(base.name), defn) + if not can_have_shared_disjoint_base(typ.bases): + self.fail(message_registry.INCOMPATIBLE_DISJOINT_BASES.format(typ.name), defn) + with ( + self.tscope.class_scope(defn.info), + self.enter_partial_types(is_class=True), + self.enter_class(defn.info), + ): + old_binder = self.binder + self.binder = ConditionalTypeBinder(self.options) + with self.binder.top_frame_context(): + with self.scope.push_class(defn.info): + self.accept(defn.defs) + self.binder = old_binder + if not self.can_skip_diagnostics: + if not (defn.info.typeddict_type or defn.info.tuple_type or defn.info.is_enum): + # If it is not a normal class (not a special form) check class keywords. + self.check_init_subclass(defn) + if not defn.has_incompatible_baseclass: + # Otherwise we've already found errors; more errors are not useful + self.check_multiple_inheritance(typ) + self.check_metaclass_compatibility(typ) + self.check_final_deletable(typ) + + if defn.decorators: + sig: Type = type_object_type(defn.info, self.named_type) + # Decorators are applied in reverse order. + for decorator in reversed(defn.decorators): + if isinstance(decorator, CallExpr) and isinstance( + decorator.analyzed, PromoteExpr + ): + # _promote is a special type checking related construct. + continue + + dec = self.expr_checker.accept(decorator) + temp = self.temp_node(sig, context=decorator) + fullname = None + if isinstance(decorator, RefExpr): + fullname = decorator.fullname or None + + # TODO: Figure out how to have clearer error messages. + # (e.g. "class decorator must be a function that accepts a type." + old_allow_abstract_call = self.allow_abstract_call + self.allow_abstract_call = True + sig, _ = self.expr_checker.check_call( + dec, [temp], [nodes.ARG_POS], defn, callable_name=fullname + ) + self.allow_abstract_call = old_allow_abstract_call + # TODO: Apply the sig to the actual TypeInfo so we can handle decorators + # that completely swap out the type. (e.g. Callable[[Type[A]], Type[B]]) + if typ.defn.type_vars and typ.defn.type_args is None: + for base_inst in typ.bases: + for base_tvar, base_decl_tvar in zip( + base_inst.args, base_inst.type.defn.type_vars + ): + if ( + isinstance(base_tvar, TypeVarType) + and base_tvar.variance != INVARIANT + and isinstance(base_decl_tvar, TypeVarType) + and base_decl_tvar.variance != base_tvar.variance + ): + self.fail( + f'Variance of TypeVar "{base_tvar.name}" incompatible ' + "with variance in parent type", + context=defn, + code=codes.TYPE_VAR, + ) + if typ.defn.type_vars: + self.check_typevar_defaults(typ.defn.type_vars) + + if typ.is_protocol and typ.defn.type_vars: + self.check_protocol_variance(defn) + if not defn.has_incompatible_baseclass and defn.info.is_enum: + self.check_enum(defn) + infer_class_variances(defn.info) + + @contextmanager + def enter_class(self, type: TypeInfo) -> Iterator[None]: + original_type = self.type + self.type = type + try: + yield + finally: + self.type = original_type + + def check_final_deletable(self, typ: TypeInfo) -> None: + # These checks are only for mypyc. Only perform some checks that are easier + # to implement here than in mypyc. + for attr in typ.deletable_attributes: + node = typ.names.get(attr) + if node and isinstance(node.node, Var) and node.node.is_final: + self.fail(message_registry.CANNOT_MAKE_DELETABLE_FINAL, node.node) + + def check_init_subclass(self, defn: ClassDef) -> None: + """Check that keywords in a class definition are valid arguments for __init_subclass__(). + + In this example: + 1 class Base: + 2 def __init_subclass__(cls, thing: int): + 3 pass + 4 class Child(Base, thing=5): + 5 def __init_subclass__(cls): + 6 pass + 7 Child() + + Base.__init_subclass__(thing=5) is called at line 4. This is what we simulate here. + Child.__init_subclass__ is never called. + """ + if defn.info.metaclass_type and defn.info.metaclass_type.type.fullname not in ( + "builtins.type", + "abc.ABCMeta", + ): + # We can't safely check situations when both __init_subclass__ and a custom + # metaclass are present. + return + # At runtime, only Base.__init_subclass__ will be called, so + # we skip the current class itself. + for base in defn.info.mro[1:]: + if "__init_subclass__" not in base.names: + continue + name_expr = NameExpr(defn.name) + name_expr.node = base + callee = MemberExpr(name_expr, "__init_subclass__") + args = list(defn.keywords.values()) + arg_names: list[str | None] = list(defn.keywords.keys()) + # 'metaclass' keyword is consumed by the rest of the type machinery, + # and is never passed to __init_subclass__ implementations + if "metaclass" in arg_names: + idx = arg_names.index("metaclass") + arg_names.pop(idx) + args.pop(idx) + arg_kinds = [ARG_NAMED] * len(args) + call_expr = CallExpr(callee, args, arg_kinds, arg_names) + call_expr.line = defn.line + call_expr.column = defn.column + call_expr.end_line = defn.end_line + self.expr_checker.accept(call_expr, allow_none_return=True, always_allow_any=True) + # We are only interested in the first Base having __init_subclass__, + # all other bases have already been checked. + break + + def check_typevar_defaults(self, tvars: Sequence[TypeVarLikeType]) -> None: + for tv in tvars: + if not (isinstance(tv, TypeVarType) and tv.has_default()): + continue + if not is_subtype(tv.default, tv.upper_bound): + self.fail("TypeVar default must be a subtype of the bound type", tv) + if tv.values and not any(is_same_type(tv.default, value) for value in tv.values): + self.fail("TypeVar default must be one of the constraint types", tv) + + def check_enum(self, defn: ClassDef) -> None: + assert defn.info.is_enum + if defn.info.fullname not in ENUM_BASES and "__members__" in defn.info.names: + sym = defn.info.names["__members__"] + if isinstance(sym.node, Var) and sym.node.has_explicit_value: + # `__members__` will always be overwritten by `Enum` and is considered + # read-only so we disallow assigning a value to it + self.fail(message_registry.ENUM_MEMBERS_ATTR_WILL_BE_OVERRIDDEN, sym.node) + for base in defn.info.mro[1:-1]: # we don't need self and `object` + if base.is_enum and base.fullname not in ENUM_BASES: + self.check_final_enum(defn, base) + + if self.is_stub and self.tree.fullname not in {"enum", "_typeshed"}: + if not defn.info.enum_members: + self.fail( + f'Detected enum "{defn.info.fullname}" in a type stub with zero members. ' + "There is a chance this is due to a recent change in the semantics of " + "enum membership. If so, use `member = value` to mark an enum member, " + "instead of `member: type`", + defn, + ) + self.note( + "See https://typing.readthedocs.io/en/latest/spec/enums.html#defining-members", + defn, + ) + + self.check_enum_bases(defn) + self.check_enum_new(defn) + + def check_final_enum(self, defn: ClassDef, base: TypeInfo) -> None: + if base.enum_members: + self.fail(f'Cannot extend enum with existing members: "{base.name}"', defn) + + def is_final_enum_value(self, sym: SymbolTableNode) -> bool: + if isinstance(sym.node, (FuncBase, Decorator)): + return False # A method is fine + if not isinstance(sym.node, Var): + return True # Can be a class or anything else + + # Now, only `Var` is left, we need to check: + # 1. Private name like in `__prop = 1` + # 2. Dunder name like `__hash__ = some_hasher` + # 3. Sunder name like `_order_ = 'a, b, c'` + # 4. If it is a method / descriptor like in `method = classmethod(func)` + if ( + is_private(sym.node.name) + or is_dunder(sym.node.name) + or is_sunder(sym.node.name) + # TODO: make sure that `x = @class/staticmethod(func)` + # and `x = property(prop)` both work correctly. + # Now they are incorrectly counted as enum members. + or isinstance(get_proper_type(sym.node.type), FunctionLike) + ): + return False + + return self.is_stub or sym.node.has_explicit_value + + def check_enum_bases(self, defn: ClassDef) -> None: + """ + Non-enum mixins cannot appear after enum bases; this is disallowed at runtime: + + class Foo: ... + class Bar(enum.Enum, Foo): ... + + But any number of enum mixins can appear in a class definition + (even if multiple enum bases define __new__). So this is fine: + + class Foo(enum.Enum): + def __new__(cls, val): ... + class Bar(enum.Enum): + def __new__(cls, val): ... + class Baz(int, Foo, Bar, enum.Flag): ... + """ + enum_base: Instance | None = None + for base in defn.info.bases: + if enum_base is None and base.type.is_enum: + enum_base = base + continue + elif enum_base is not None and not base.type.is_enum: + self.fail( + f'No non-enum mixin classes are allowed after "{enum_base.str_with_options(self.options)}"', + defn, + ) + break + + def check_enum_new(self, defn: ClassDef) -> None: + def has_new_method(info: TypeInfo) -> bool: + new_method = info.get("__new__") + return bool( + new_method + and new_method.node + and new_method.node.fullname != "builtins.object.__new__" + ) + + has_new = False + for base in defn.info.bases: + candidate = False + + if base.type.is_enum: + # If we have an `Enum`, then we need to check all its bases. + candidate = any(not b.is_enum and has_new_method(b) for b in base.type.mro[1:-1]) + else: + candidate = has_new_method(base.type) + + if candidate and has_new: + self.fail( + "Only a single data type mixin is allowed for Enum subtypes, " + 'found extra "{}"'.format(base.str_with_options(self.options)), + defn, + ) + elif candidate: + has_new = True + + def check_protocol_variance(self, defn: ClassDef) -> None: + """Check that protocol definition is compatible with declared + variances of type variables. + + Note that we also prohibit declaring protocol classes as invariant + if they are actually covariant/contravariant, since this may break + transitivity of subtyping, see PEP 544. + """ + if self.can_skip_diagnostics: + return + if defn.type_args is not None: + # Using new-style syntax (PEP 695), so variance will be inferred + return + info = defn.info + object_type = Instance(info.mro[-1], []) + tvars = info.defn.type_vars + if self._variance_dummy_type is None: + _, dummy_info = self.make_fake_typeinfo("", "Dummy", "Dummy", []) + self._variance_dummy_type = Instance(dummy_info, []) + dummy = self._variance_dummy_type + for i, tvar in enumerate(tvars): + if not isinstance(tvar, TypeVarType): + # Variance of TypeVarTuple and ParamSpec is underspecified by PEPs. + continue + up_args: list[Type] = [ + object_type if i == j else dummy.copy_modified() for j, _ in enumerate(tvars) + ] + down_args: list[Type] = [ + UninhabitedType() if i == j else dummy.copy_modified() for j, _ in enumerate(tvars) + ] + up, down = Instance(info, up_args), Instance(info, down_args) + # TODO: add advanced variance checks for recursive protocols + if is_subtype(down, up, ignore_declared_variance=True): + expected = COVARIANT + elif is_subtype(up, down, ignore_declared_variance=True): + expected = CONTRAVARIANT + else: + expected = INVARIANT + if expected != tvar.variance: + self.msg.bad_proto_variance(tvar.variance, tvar.name, expected, defn) + + def check_multiple_inheritance(self, typ: TypeInfo) -> None: + """Check for multiple inheritance related errors.""" + if len(typ.bases) <= 1: + # No multiple inheritance. + return + # Verify that inherited attributes are compatible. + mro = typ.mro[1:] + all_names = {name for base in mro for name in base.names} + for name in sorted(all_names - typ.names.keys()): + # Sort for reproducible message order. + # Attributes defined in both the type and base are skipped. + # Normal checks for attribute compatibility should catch any problems elsewhere. + if is_private(name): + continue + # Compare the first base defining a name with the rest. + # Remaining bases may not be pairwise compatible as the first base provides + # the used definition. + i, base = next((i, base) for i, base in enumerate(mro) if name in base.names) + for base2 in mro[i + 1 :]: + if name in base2.names and base2 not in base.mro: + self.check_compatibility(name, base, base2, typ) + + def check_compatibility( + self, name: str, base1: TypeInfo, base2: TypeInfo, ctx: TypeInfo + ) -> None: + """Check if attribute name in base1 is compatible with base2 in multiple inheritance. + + Assume base1 comes before base2 in the MRO, and that base1 and base2 don't have + a direct subclass relationship (i.e., the compatibility requirement only derives from + multiple inheritance). + + This check verifies that a definition taken from base1 (and mapped to the current + class ctx), is type compatible with the definition taken from base2 (also mapped), so + that unsafe subclassing like this can be detected: + class A(Generic[T]): + def foo(self, x: T) -> None: ... + + class B: + def foo(self, x: str) -> None: ... + + class C(B, A[int]): ... # this is unsafe because... + + x: A[int] = C() + x.foo # ...runtime type is (str) -> None, while static type is (int) -> None + """ + if name in ("__init__", "__new__", "__init_subclass__"): + # __init__ and friends can be incompatible -- it's a special case. + return + first = base1.names[name] + second = base2.names[name] + # Specify current_class explicitly as this function is called after leaving the class. + first_type, _ = self.node_type_from_base(name, base1, ctx, current_class=ctx) + second_type, _ = self.node_type_from_base(name, base2, ctx, current_class=ctx) + + # TODO: use more principled logic to decide is_subtype() vs is_equivalent(). + # We should rely on mutability of superclass node, not on types being Callable. + # (in particular handle settable properties with setter type different from getter). + + p_first_type = get_proper_type(first_type) + p_second_type = get_proper_type(second_type) + if isinstance(p_first_type, FunctionLike) and isinstance(p_second_type, FunctionLike): + if p_first_type.is_type_obj() and p_second_type.is_type_obj(): + # For class objects only check the subtype relationship of the classes, + # since we allow incompatible overrides of '__init__'/'__new__' + ok = is_subtype( + left=fill_typevars_with_any(p_first_type.type_object()), + right=fill_typevars_with_any(p_second_type.type_object()), + ) + else: + assert first_type and second_type + ok = is_subtype(first_type, second_type, ignore_pos_arg_names=True) + elif first_type and second_type: + if second.node is not None and not self.is_writable_attribute(second.node): + ok = is_subtype(first_type, second_type) + else: + ok = is_equivalent(first_type, second_type) + if ok: + if ( + first.node + and second.node + and self.is_writable_attribute(second.node) + and is_property(first.node) + and isinstance(first.node, Decorator) + and not isinstance(p_second_type, AnyType) + ): + self.msg.fail( + f'Cannot override writeable attribute "{name}" in base "{base2.name}"' + f' with read-only property in base "{base1.name}"', + ctx, + code=codes.OVERRIDE, + ) + else: + if first_type is None: + self.msg.cannot_determine_type_in_base(name, base1.name, ctx) + if second_type is None: + self.msg.cannot_determine_type_in_base(name, base2.name, ctx) + ok = True + # Final attributes can never be overridden, but can override + # non-final read-only attributes. + if is_final_node(second.node) and not is_private(name): + self.msg.cant_override_final(name, base2.name, ctx) + if is_final_node(first.node): + self.check_if_final_var_override_writable(name, second.node, ctx) + # Some attributes like __slots__ and __deletable__ are special, and the type can + # vary across class hierarchy. + if isinstance(second.node, Var) and second.node.allow_incompatible_override: + ok = True + if not ok: + self.msg.base_class_definitions_incompatible(name, base1, base2, ctx) + + def check_metaclass_compatibility(self, typ: TypeInfo) -> None: + """Ensures that metaclasses of all parent types are compatible.""" + if ( + typ.is_metaclass() + or typ.is_protocol + or typ.is_named_tuple + or typ.is_enum + or typ.typeddict_type is not None + ): + return # Reasonable exceptions from this check + + if typ.metaclass_type is None and any( + base.type.metaclass_type is not None for base in typ.bases + ): + self.fail( + "Metaclass conflict: the metaclass of a derived class must be " + "a (non-strict) subclass of the metaclasses of all its bases", + typ, + code=codes.METACLASS, + ) + explanation = typ.explain_metaclass_conflict() + if explanation: + self.note(explanation, typ, code=codes.METACLASS) + + def visit_import_from(self, node: ImportFrom) -> None: + for name, _ in node.names: + if (sym := self.globals.get(name)) is not None: + self.warn_deprecated(sym.node, node) + self.check_import(node) + + def visit_import_all(self, node: ImportAll) -> None: + self.check_import(node) + + def visit_import(self, node: Import) -> None: + self.check_import(node) + + def check_import(self, node: ImportBase) -> None: + for assign in node.assignments: + lvalue = assign.lvalues[0] + lvalue_type, _, __ = self.check_lvalue(lvalue) + if lvalue_type is None: + # TODO: This is broken. + lvalue_type = AnyType(TypeOfAny.special_form) + assert isinstance(assign.rvalue, NameExpr) + message = message_registry.INCOMPATIBLE_IMPORT_OF.format(assign.rvalue.name) + self.check_simple_assignment( + lvalue_type, + assign.rvalue, + node, + msg=message, + lvalue_name="local name", + rvalue_name="imported name", + ) + + # + # Statements + # + + def visit_block(self, b: Block) -> None: + if b.is_unreachable: + # This block was marked as being unreachable during semantic analysis. + # It turns out any blocks marked in this way are *intentionally* marked + # as unreachable -- so we don't display an error. + self.binder.unreachable() + return + for s in b.body: + if self.binder.is_unreachable(): + if not self.should_report_unreachable_issues(): + break + if not self.is_noop_for_reachability(s): + self.msg.unreachable_statement(s) + break + else: + self.accept(s) + # Clear expression cache after each statement to avoid unlimited growth. + self.expr_checker.expr_cache.clear() + + def should_report_unreachable_issues(self) -> bool: + return ( + self.in_checked_function() + and self.options.warn_unreachable + and not self.current_node_deferred + and not self.binder.is_unreachable_warning_suppressed() + ) + + def is_noop_for_reachability(self, s: Statement) -> bool: + """Returns 'true' if the given statement either throws an error of some kind + or is a no-op. + + We use this function while handling the '--warn-unreachable' flag. When + that flag is present, we normally report an error on any unreachable statement. + But if that statement is just something like a 'pass' or a just-in-case 'assert False', + reporting an error would be annoying. + """ + if isinstance(s, AssertStmt) and is_false_literal(s.expr): + return True + elif isinstance(s, ReturnStmt) and is_literal_not_implemented(s.expr): + return True + elif isinstance(s, RaiseStmt): + return True + elif isinstance(s, ExpressionStmt): + if isinstance(s.expr, CallExpr): + with self.expr_checker.msg.filter_errors(filter_revealed_type=True): + typ = get_proper_type( + self.expr_checker.accept( + s.expr, allow_none_return=True, always_allow_any=True + ) + ) + + if isinstance(typ, UninhabitedType): + return True + return False + + def visit_assignment_stmt(self, s: AssignmentStmt) -> None: + """Type check an assignment statement. + + Handle all kinds of assignment statements (simple, indexed, multiple). + """ + + # Avoid type checking type aliases in stubs to avoid false + # positives about modern type syntax available in stubs such + # as X | Y. + if not (s.is_alias_def and self.is_stub): + with self.enter_final_context(s.is_final_def): + self.check_assignment(s.lvalues[-1], s.rvalue, s.type is None, s.new_syntax) + + if s.is_alias_def: + self.check_type_alias_rvalue(s) + + if ( + s.type is not None + and self.options.disallow_any_unimported + and has_any_from_unimported_type(s.type) + ): + if isinstance(s.lvalues[-1], TupleExpr): + # This is a multiple assignment. Instead of figuring out which type is problematic, + # give a generic error message. + self.msg.unimported_type_becomes_any( + "A type on this line", AnyType(TypeOfAny.special_form), s + ) + else: + self.msg.unimported_type_becomes_any("Type of variable", s.type, s) + check_for_explicit_any(s.type, self.options, self.is_typeshed_stub, self.msg, context=s) + + if len(s.lvalues) > 1: + # Chained assignment (e.g. x = y = ...). + # Make sure that rvalue type will not be reinferred. + if not self.has_type(s.rvalue): + self.expr_checker.accept(s.rvalue) + rvalue = self.temp_node(self.lookup_type(s.rvalue), s) + for lv in s.lvalues[:-1]: + with self.enter_final_context(s.is_final_def): + self.check_assignment(lv, rvalue, s.type is None) + + self.check_final(s) + if ( + s.is_final_def + and s.type + and not has_no_typevars(s.type) + and self.scope.active_class() is not None + ): + self.fail(message_registry.DEPENDENT_FINAL_IN_CLASS_BODY, s) + + if s.unanalyzed_type and not self.in_checked_function(): + self.msg.annotation_in_unchecked_function(context=s) + + def check_type_alias_rvalue(self, s: AssignmentStmt) -> None: + with self.msg.filter_errors(): + alias_type = self.expr_checker.accept(s.rvalue) + self.store_type(s.lvalues[-1], alias_type) + + def check_assignment( + self, + lvalue: Lvalue, + rvalue: Expression, + infer_lvalue_type: bool = True, + new_syntax: bool = False, + ) -> None: + """Type check a single assignment: lvalue = rvalue.""" + if isinstance(lvalue, (TupleExpr, ListExpr)): + self.check_assignment_to_multiple_lvalues( + lvalue.items, rvalue, rvalue, infer_lvalue_type + ) + else: + self.try_infer_partial_generic_type_from_assignment(lvalue, rvalue, "=") + lvalue_type, index_lvalue, inferred = self.check_lvalue(lvalue, rvalue) + # If we're assigning to __getattr__ or similar methods, check that the signature is + # valid. + if isinstance(lvalue, NameExpr) and lvalue.node: + name = lvalue.node.name + if name in ("__setattr__", "__getattribute__", "__getattr__"): + # If an explicit type is given, use that. + if lvalue_type: + signature = lvalue_type + else: + signature = self.expr_checker.accept(rvalue) + if signature: + if name == "__setattr__": + self.check_setattr_method(signature, lvalue) + else: + self.check_getattr_method(signature, lvalue, name) + + if name == "__slots__" and self.scope.active_class() is not None: + typ = lvalue_type or self.expr_checker.accept(rvalue) + self.check_slots_definition(typ, lvalue) + if name == "__match_args__" and inferred is not None: + typ = self.expr_checker.accept(rvalue) + self.check_match_args(inferred, typ, lvalue) + if name == "__post_init__": + active_class = self.scope.active_class() + if active_class and dataclasses_plugin.is_processed_dataclass(active_class): + self.fail(message_registry.DATACLASS_POST_INIT_MUST_BE_A_FUNCTION, rvalue) + + if isinstance(lvalue, MemberExpr) and lvalue.name == "__match_args__": + self.fail(message_registry.CANNOT_MODIFY_MATCH_ARGS, lvalue) + + if lvalue_type: + if isinstance(lvalue_type, PartialType) and lvalue_type.type is None: + # Try to infer a proper type for a variable with a partial None type. + rvalue_type = self.expr_checker.accept(rvalue) + if isinstance(get_proper_type(rvalue_type), NoneType): + # This doesn't actually provide any additional information -- multiple + # None initializers preserve the partial None type. + return + + var = lvalue_type.var + if is_valid_inferred_type( + rvalue_type, self.options, is_lvalue_final=var.is_final + ): + partial_types = self.find_partial_types(var) + if partial_types is not None: + if not self.current_node_deferred: + # Partial type can't be final, so strip any literal values. + rvalue_type = remove_instance_last_known_values(rvalue_type) + inferred_type = make_simplified_union([rvalue_type, NoneType()]) + self.set_inferred_type(var, lvalue, inferred_type) + else: + var.type = None + del partial_types[var] + lvalue_type = var.type + else: + # Try to infer a partial type. + if not self.infer_partial_type(var, lvalue, rvalue_type): + # If that also failed, give up and let the caller know that we + # cannot read their mind. The definition site will be reported later. + # Calling .put() directly because the newly inferred type is + # not a subtype of None - we are not looking for narrowing + fallback = self.inference_error_fallback_type(rvalue_type) + self.binder.put(lvalue, fallback) + # Same as self.set_inference_error_fallback_type but inlined + # to avoid computing fallback twice. + # We are replacing partial now, so the variable type + # should remain optional. + self.set_inferred_type(var, lvalue, make_optional_type(fallback)) + elif ( + is_literal_none(rvalue) + and isinstance(lvalue, NameExpr) + and isinstance(lvalue.node, Var) + and lvalue.node.is_initialized_in_class + and not new_syntax + ): + # Allow None's to be assigned to class variables with non-Optional types. + rvalue_type = lvalue_type + elif ( + isinstance(lvalue, MemberExpr) and lvalue.kind is None + ): # Ignore member access to modules + instance_type = self.expr_checker.accept(lvalue.expr) + rvalue_type, lvalue_type, infer_lvalue_type = self.check_member_assignment( + lvalue, instance_type, lvalue_type, rvalue, context=rvalue + ) + else: + # Hacky special case for assigning a literal None + # to a variable defined in a previous if + # branch. When we detect this, we'll go back and + # make the type optional. This is somewhat + # unpleasant, and a generalization of this would + # be an improvement! + if ( + not self.options.allow_redefinition_new + and is_literal_none(rvalue) + and isinstance(lvalue, NameExpr) + and lvalue.kind == LDEF + and isinstance(lvalue.node, Var) + and lvalue.node.type + and lvalue.node in self.var_decl_frames + and not isinstance(get_proper_type(lvalue_type), AnyType) + ): + decl_frame_map = self.var_decl_frames[lvalue.node] + # Check if the nearest common ancestor frame for the definition site + # and the current site is the enclosing frame of an if/elif/else block. + has_if_ancestor = False + for frame in reversed(self.binder.frames): + if frame.id in decl_frame_map: + has_if_ancestor = frame.conditional_frame + break + if has_if_ancestor: + lvalue_type = make_optional_type(lvalue_type) + self.set_inferred_type(lvalue.node, lvalue, lvalue_type) + + rvalue_type, lvalue_type = self.check_simple_assignment( + lvalue_type, rvalue, context=rvalue, inferred=inferred, lvalue=lvalue + ) + # The above call may update inferred variable type. Prevent further + # inference. + inferred = None + + # Special case: only non-abstract non-protocol classes can be assigned to + # variables with explicit type `Type[A]`, where A is protocol or abstract. + p_rvalue_type = get_proper_type(rvalue_type) + p_lvalue_type = get_proper_type(lvalue_type) + if ( + isinstance(p_rvalue_type, FunctionLike) + and p_rvalue_type.is_type_obj() + and ( + p_rvalue_type.type_object().is_abstract + or p_rvalue_type.type_object().is_protocol + ) + and isinstance(p_lvalue_type, TypeType) + and isinstance(p_lvalue_type.item, Instance) + and ( + p_lvalue_type.item.type.is_abstract or p_lvalue_type.item.type.is_protocol + ) + ): + self.msg.concrete_only_assign(p_lvalue_type, rvalue) + return + if rvalue_type and infer_lvalue_type and not isinstance(lvalue_type, PartialType): + # Don't use type binder for definitions of special forms, like named tuples. + if not (isinstance(lvalue, NameExpr) and lvalue.is_special_form): + self.binder.assign_type(lvalue, rvalue_type, lvalue_type) + if ( + isinstance(lvalue, NameExpr) + and isinstance(lvalue.node, Var) + and lvalue.node.is_inferred + and lvalue.node.is_index_var + and lvalue_type is not None + ): + lvalue.node.type = remove_instance_last_known_values(lvalue_type) + elif ( + self.options.allow_redefinition_new + and lvalue_type is not None + and not isinstance(lvalue_type, PartialType) + # Note that `inferred is not None` is not a reliable check here, because + # simple assignments like x = "a" are inferred during semantic analysis. + and isinstance(lvalue, NameExpr) + and isinstance(lvalue.node, Var) + and lvalue.node.is_inferred + ): + # TODO: Can we use put() here? + self.binder.assign_type(lvalue, lvalue_type, lvalue_type) + + elif index_lvalue: + self.check_indexed_assignment(index_lvalue, rvalue, lvalue) + + if inferred: + type_context = self.get_variable_type_context(inferred, rvalue) + rvalue_type = self.expr_checker.accept(rvalue, type_context=type_context) + if not ( + inferred.is_final + or inferred.is_index_var + or (isinstance(lvalue, NameExpr) and lvalue.name == "__match_args__") + ): + rvalue_type = remove_instance_last_known_values(rvalue_type) + self.infer_variable_type(inferred, lvalue, rvalue_type, rvalue) + self.check_assignment_to_slots(lvalue) + if ( + isinstance(lvalue, RefExpr) + and not (isinstance(lvalue, NameExpr) and lvalue.name == "__match_args__") + and not self.can_skip_diagnostics + ): + # We check override here at the end after storing the inferred type, since + # override check will try to access the current attribute via symbol tables + # (like a regular attribute access). + self.check_compatibility_all_supers(lvalue, rvalue) + + # (type, operator) tuples for augmented assignments supported with partial types + partial_type_augmented_ops: Final = {("builtins.list", "+"), ("builtins.set", "|")} + + def get_variable_type_context(self, inferred: Var, rvalue: Expression) -> Type | None: + type_contexts = [] + if inferred.info: + for base in inferred.info.mro[1:]: + if inferred.name not in base.names: + continue + # For inference within class body, get supertype attribute as it would look on + # a class object for lambdas overriding methods, etc. + base_node = base.names[inferred.name].node + base_type, _ = self.node_type_from_base( + inferred.name, + base, + inferred, + is_class=is_method(base_node) + or isinstance(base_node, Var) + and not is_instance_var(base_node), + ) + if ( + base_type + and not (isinstance(base_node, Var) and base_node.invalid_partial_type) + and not isinstance(base_type, PartialType) + ): + type_contexts.append(base_type) + # Use most derived supertype as type context if available. + if not type_contexts: + if inferred.name == "__slots__" and self.scope.active_class() is not None: + str_type = self.named_type("builtins.str") + return self.named_generic_type("typing.Iterable", [str_type]) + if inferred.name == "__all__" and self.scope.is_top_level(): + str_type = self.named_type("builtins.str") + return self.named_generic_type("typing.Sequence", [str_type]) + return None + candidate = type_contexts[0] + for other in type_contexts: + if is_proper_subtype(other, candidate): + candidate = other + elif not is_subtype(candidate, other): + # Multiple incompatible candidates, cannot use any of them as context. + return None + return candidate + + def try_infer_partial_generic_type_from_assignment( + self, lvalue: Lvalue, rvalue: Expression, op: str + ) -> None: + """Try to infer a precise type for partial generic type from assignment. + + 'op' is '=' for normal assignment and a binary operator ('+', ...) for + augmented assignment. + + Example where this happens: + + x = [] + if foo(): + x = [1] # Infer List[int] as type of 'x' + """ + var = None + if ( + isinstance(lvalue, NameExpr) + and isinstance(lvalue.node, Var) + and isinstance(lvalue.node.type, PartialType) + ): + var = lvalue.node + elif isinstance(lvalue, MemberExpr): + var = self.expr_checker.get_partial_self_var(lvalue) + if var is not None: + typ = var.type + assert isinstance(typ, PartialType) + if typ.type is None: + return + # Return if this is an unsupported augmented assignment. + if op != "=" and (typ.type.fullname, op) not in self.partial_type_augmented_ops: + return + # TODO: some logic here duplicates the None partial type counterpart + # inlined in check_assignment(), see #8043. + partial_types = self.find_partial_types(var) + if partial_types is None: + return + rvalue_type = self.expr_checker.accept(rvalue) + rvalue_type = get_proper_type(rvalue_type) + if isinstance(rvalue_type, Instance): + if rvalue_type.type == typ.type and is_valid_inferred_type( + rvalue_type, self.options + ): + var.type = rvalue_type + del partial_types[var] + elif isinstance(rvalue_type, AnyType): + var.type = fill_typevars_with_any(typ.type) + del partial_types[var] + + def check_compatibility_all_supers(self, lvalue: RefExpr, rvalue: Expression) -> None: + lvalue_node = lvalue.node + # Check if we are a class variable with at least one base class + if ( + isinstance(lvalue_node, Var) + # If we have explicit annotation, there is no point in checking the override + # for each assignment, so we check only for the first one. + # TODO: for some reason annotated attributes on self are stored as inferred vars. + and ( + lvalue_node.line == lvalue.line + or lvalue_node.is_inferred + and not lvalue_node.explicit_self_type + ) + and lvalue.kind in (MDEF, None) # None for Vars defined via self + and len(lvalue_node.info.bases) > 0 + ): + for base in lvalue_node.info.mro[1:]: + tnode = base.names.get(lvalue_node.name) + if tnode is not None: + if not self.check_compatibility_classvar_super(lvalue_node, base, tnode.node): + # Show only one error per variable + break + + if not self.check_compatibility_final_super(lvalue_node, base, tnode.node): + # Show only one error per variable + break + + direct_bases = lvalue_node.info.direct_base_classes() + last_immediate_base = direct_bases[-1] if direct_bases else None + + # The historical behavior for inferred vars was to compare rvalue type against + # the type declared in a superclass. To preserve this behavior, we temporarily + # store the rvalue type on the variable. + actual_lvalue_type = None + if lvalue_node.is_inferred and not lvalue_node.explicit_self_type: + # Don't use partial types as context, similar to regular code path. + ctx = lvalue_node.type if not isinstance(lvalue_node.type, PartialType) else None + rvalue_type = self.expr_checker.accept(rvalue, ctx) + actual_lvalue_type = lvalue_node.type + lvalue_node.type = rvalue_type + lvalue_type, _ = self.node_type_from_base(lvalue_node.name, lvalue_node.info, lvalue) + if lvalue_node.is_inferred and not lvalue_node.explicit_self_type: + lvalue_node.type = actual_lvalue_type + + if not lvalue_type: + return + + for base in lvalue_node.info.mro[1:]: + # The type of "__slots__" and some other attributes usually doesn't need to + # be compatible with a base class. We'll still check the type of "__slots__" + # against "object" as an exception. + if lvalue_node.allow_incompatible_override and not ( + lvalue_node.name == "__slots__" and base.fullname == "builtins.object" + ): + continue + + if is_private(lvalue_node.name): + continue + + base_type, base_node = self.node_type_from_base(lvalue_node.name, base, lvalue) + # TODO: if the r.h.s. is a descriptor, we should check setter override as well. + custom_setter = is_custom_settable_property(base_node) + if isinstance(base_type, PartialType): + base_type = None + + if base_type: + assert base_node is not None + if not self.check_compatibility_super( + lvalue_type, + rvalue, + base, + base_type, + base_node, + always_allow_covariant=custom_setter, + ): + # Only show one error per variable; even if other + # base classes are also incompatible + return + if lvalue_type and custom_setter: + base_type, _ = self.node_type_from_base( + lvalue_node.name, base, lvalue, setter_type=True + ) + # Setter type for a custom property must be ready if + # the getter type is ready. + assert base_type is not None + if not is_subtype(base_type, lvalue_type): + self.msg.incompatible_setter_override( + lvalue, lvalue_type, base_type, base + ) + return + if base is last_immediate_base: + # At this point, the attribute was found to be compatible with all + # immediate parents. + break + + def check_compatibility_super( + self, + compare_type: Type, + rvalue: Expression, + base: TypeInfo, + base_type: Type, + base_node: Node, + always_allow_covariant: bool, + ) -> bool: + # TODO: check __set__() type override for custom descriptors. + # TODO: for descriptors check also class object access override. + ok = self.check_subtype( + compare_type, + base_type, + rvalue, + message_registry.INCOMPATIBLE_TYPES_IN_ASSIGNMENT, + "expression has type", + f'base class "{base.name}" defined the type as', + ) + if ( + ok + and codes.MUTABLE_OVERRIDE in self.options.enabled_error_codes + and self.is_writable_attribute(base_node) + and not always_allow_covariant + ): + ok = self.check_subtype( + base_type, + compare_type, + rvalue, + message_registry.COVARIANT_OVERRIDE_OF_MUTABLE_ATTRIBUTE, + f'base class "{base.name}" defined the type as', + "expression has type", + ) + return ok + + def node_type_from_base( + self, + name: str, + base: TypeInfo, + context: Context, + *, + setter_type: bool = False, + is_class: bool = False, + current_class: TypeInfo | None = None, + ) -> tuple[Type | None, SymbolNode | None]: + """Find a type for a name in base class. + + Return the type found and the corresponding node defining the name or None + for both if the name is not defined in base or the node type is not known (yet). + The type returned is already properly mapped/bound to the subclass. + If setter_type is True, return setter types for settable properties (otherwise the + getter type is returned). + """ + base_node = base.names.get(name) + + # TODO: defer current node if the superclass node is not ready. + if ( + not base_node + or isinstance(base_node.node, (Var, Decorator)) + and not base_node.type + or isinstance(base_node.type, PartialType) + and base_node.type.type is not None + ): + return None, None + + if current_class is None: + self_type = self.scope.current_self_type() + else: + self_type = fill_typevars(current_class) + assert self_type is not None, "Internal error: base lookup outside class" + if isinstance(self_type, TupleType): + instance = tuple_fallback(self_type) + else: + instance = self_type + + mx = MemberContext( + is_lvalue=setter_type, + is_super=False, + is_operator=mypy.checkexpr.is_operator_method(name), + original_type=self_type, + context=context, + chk=self, + suppress_errors=True, + ) + # TODO: we should not filter "cannot determine type" errors here. + with self.msg.filter_errors(filter_deprecated=True): + if is_class: + fallback = instance.type.metaclass_type or mx.named_type("builtins.type") + base_type = analyze_class_attribute_access( + instance, name, mx, mcs_fallback=fallback, override_info=base + ) + else: + base_type = analyze_instance_member_access(name, instance, mx, base) + return base_type, base_node.node + + def check_compatibility_classvar_super( + self, node: Var, base: TypeInfo, base_node: Node | None + ) -> bool: + if not isinstance(base_node, Var): + return True + if node.is_classvar and not base_node.is_classvar: + self.fail(message_registry.CANNOT_OVERRIDE_INSTANCE_VAR.format(base.name), node) + return False + elif not node.is_classvar and base_node.is_classvar: + self.fail(message_registry.CANNOT_OVERRIDE_CLASS_VAR.format(base.name), node) + return False + return True + + def check_compatibility_final_super( + self, node: Var, base: TypeInfo, base_node: Node | None + ) -> bool: + """Check if an assignment overrides a final attribute in a base class. + + This only checks situations where either a node in base class is not a variable + but a final method, or where override is explicitly declared as final. + In these cases we give a more detailed error message. In addition, we check that + a final variable doesn't override writeable attribute, which is not safe. + + Other situations are checked in `check_final()`. + """ + if not isinstance(base_node, (Var, FuncBase, Decorator)): + return True + if is_private(node.name): + return True + if base_node.is_final and (node.is_final or not isinstance(base_node, Var)): + # Give this error only for explicit override attempt with `Final`, or + # if we are overriding a final method with variable. + # Other override attempts will be flagged as assignment to constant + # in `check_final()`. + self.msg.cant_override_final(node.name, base.name, node) + return False + if node.is_final: + if base.fullname in ENUM_BASES or node.name in ENUM_SPECIAL_PROPS: + return True + self.check_if_final_var_override_writable(node.name, base_node, node) + return True + + def check_if_final_var_override_writable( + self, name: str, base_node: Node | None, ctx: Context + ) -> None: + """Check that a final variable doesn't override writeable attribute. + + This is done to prevent situations like this: + class C: + attr = 1 + class D(C): + attr: Final = 2 + + x: C = D() + x.attr = 3 # Oops! + """ + writable = True + if base_node: + writable = self.is_writable_attribute(base_node) + if writable: + self.msg.final_cant_override_writable(name, ctx) + + def get_final_context(self) -> bool: + """Check whether we a currently checking a final declaration.""" + return self._is_final_def + + @contextmanager + def enter_final_context(self, is_final_def: bool) -> Iterator[None]: + """Store whether the current checked assignment is a final declaration.""" + old_ctx = self._is_final_def + self._is_final_def = is_final_def + try: + yield + finally: + self._is_final_def = old_ctx + + def check_final(self, s: AssignmentStmt | OperatorAssignmentStmt | AssignmentExpr) -> None: + """Check if this assignment does not assign to a final attribute. + + This function performs the check only for name assignments at module + and class scope. The assignments to `obj.attr` and `Cls.attr` are checked + in checkmember.py. + """ + if isinstance(s, AssignmentStmt): + lvs = self.flatten_lvalues(s.lvalues) + elif isinstance(s, AssignmentExpr): + lvs = [s.target] + else: + lvs = [s.lvalue] + is_final_decl = s.is_final_def if isinstance(s, AssignmentStmt) else False + if is_final_decl and (active_class := self.scope.active_class()): + lv = lvs[0] + assert isinstance(lv, RefExpr) + if lv.node is not None: + assert isinstance(lv.node, Var) + if ( + lv.node.final_unset_in_class + and not lv.node.final_set_in_init + and not self.is_stub # It is OK to skip initializer in stub files. + and + # Avoid extra error messages, if there is no type in Final[...], + # then we already reported the error about missing r.h.s. + isinstance(s, AssignmentStmt) + and s.type is not None + # Avoid extra error message for NamedTuples, + # they were reported during semanal + and not active_class.is_named_tuple + ): + self.msg.final_without_value(s) + for lv in lvs: + if isinstance(lv, RefExpr) and isinstance(lv.node, Var): + name = lv.node.name + cls = self.scope.active_class() + if cls is not None: + # These additional checks exist to give more error messages + # even if the final attribute was overridden with a new symbol + # (which is itself an error)... + for base in cls.mro[1:]: + sym = base.names.get(name) + # We only give this error if base node is variable, + # overriding final method will be caught in + # `check_compatibility_final_super()`. + if sym and isinstance(sym.node, Var): + if sym.node.is_final and not is_final_decl: + self.msg.cant_assign_to_final(name, sym.node.info is None, s) + # ...but only once + break + if lv.node.is_final and not is_final_decl: + self.msg.cant_assign_to_final(name, lv.node.info is None, s) + + def check_assignment_to_slots(self, lvalue: Lvalue) -> None: + if not isinstance(lvalue, MemberExpr): + return + + inst = get_proper_type(self.expr_checker.accept(lvalue.expr)) + if isinstance(inst, TypeVarType) and inst.id.is_self(): + # Unwrap self type + inst = get_proper_type(inst.upper_bound) + if not isinstance(inst, Instance): + return + if inst.type.slots is None: + return # Slots do not exist, we can allow any assignment + if lvalue.name in inst.type.slots: + return # We are assigning to an existing slot + for base_info in inst.type.mro[:-1]: + if base_info.names.get("__setattr__") is not None: + # When type has `__setattr__` defined, + # we can assign any dynamic value. + # We exclude object, because it always has `__setattr__`. + return + + definition = inst.type.get(lvalue.name) + if definition is None: + # We don't want to duplicate + # `"SomeType" has no attribute "some_attr"` + # error twice. + return + if self.is_assignable_slot(lvalue, definition.type): + return + + self.fail( + message_registry.NAME_NOT_IN_SLOTS.format(lvalue.name, inst.type.fullname), lvalue + ) + + def is_assignable_slot(self, lvalue: Lvalue, typ: Type | None) -> bool: + if getattr(lvalue, "node", None): + return False # This is a definition + + typ = get_proper_type(typ) + if typ is None or isinstance(typ, AnyType): + return True # Any can be literally anything, like `@property` + if isinstance(typ, Instance): + # When working with instances, we need to know if they contain + # `__set__` special method. Like `@property` does. + # This makes assigning to properties possible, + # even without extra slot spec. + return typ.type.get("__set__") is not None + if isinstance(typ, FunctionLike): + return True # Can be a property, or some other magic + if isinstance(typ, UnionType): + return all(self.is_assignable_slot(lvalue, u) for u in typ.items) + return False + + def flatten_rvalues(self, rvalues: list[Expression]) -> list[Expression]: + """Flatten expression list by expanding those * items that have tuple type. + + For each regular type item in the tuple type use a TempNode(), for an Unpack + item use a corresponding StarExpr(TempNode()). + """ + new_rvalues = [] + for rv in rvalues: + if not isinstance(rv, StarExpr): + new_rvalues.append(rv) + continue + typ = get_proper_type(self.expr_checker.accept(rv.expr)) + if not isinstance(typ, TupleType): + new_rvalues.append(rv) + continue + for t in typ.items: + if not isinstance(t, UnpackType): + new_rvalues.append(TempNode(t)) + else: + unpacked = get_proper_type(t.type) + if isinstance(unpacked, TypeVarTupleType): + fallback = unpacked.upper_bound + else: + assert ( + isinstance(unpacked, Instance) + and unpacked.type.fullname == "builtins.tuple" + ) + fallback = unpacked + new_rvalues.append(StarExpr(TempNode(fallback))) + return new_rvalues + + def check_assignment_to_multiple_lvalues( + self, + lvalues: list[Lvalue], + rvalue: Expression, + context: Context, + infer_lvalue_type: bool = True, + ) -> None: + if isinstance(rvalue, (TupleExpr, ListExpr)): + # Recursively go into Tuple or List expression rhs instead of + # using the type of rhs, because this allows more fine-grained + # control in cases like: a, b = [int, str] where rhs would get + # type List[object] + rvalues: list[Expression] = [] + iterable_type: Type | None = None + last_idx: int | None = None + for idx_rval, rval in enumerate(self.flatten_rvalues(rvalue.items)): + if isinstance(rval, StarExpr): + typs = get_proper_type(self.expr_checker.accept(rval.expr)) + if self.type_is_iterable(typs) and isinstance(typs, Instance): + if iterable_type is not None and iterable_type != self.iterable_item_type( + typs, rvalue + ): + self.fail(message_registry.CONTIGUOUS_ITERABLE_EXPECTED, context) + else: + if last_idx is None or last_idx + 1 == idx_rval: + rvalues.append(rval) + last_idx = idx_rval + iterable_type = self.iterable_item_type(typs, rvalue) + else: + self.fail(message_registry.CONTIGUOUS_ITERABLE_EXPECTED, context) + else: + self.fail(message_registry.ITERABLE_TYPE_EXPECTED.format(typs), context) + else: + rvalues.append(rval) + iterable_start: int | None = None + iterable_end: int | None = None + for i, rval in enumerate(rvalues): + if isinstance(rval, StarExpr): + typs = get_proper_type(self.expr_checker.accept(rval.expr)) + if self.type_is_iterable(typs) and isinstance(typs, Instance): + if iterable_start is None: + iterable_start = i + iterable_end = i + if ( + iterable_start is not None + and iterable_end is not None + and iterable_type is not None + ): + iterable_num = iterable_end - iterable_start + 1 + rvalue_needed = len(lvalues) - (len(rvalues) - iterable_num) + if rvalue_needed > 0: + rvalues = ( + rvalues[0:iterable_start] + + [TempNode(iterable_type, context=rval) for _ in range(rvalue_needed)] + + rvalues[iterable_end + 1 :] + ) + + if self.check_rvalue_count_in_assignment(lvalues, len(rvalues), context): + star_index = next( + (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) + ) + + left_lvs = lvalues[:star_index] + star_lv = ( + cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None + ) + right_lvs = lvalues[star_index + 1 :] + + left_rvs, star_rvs, right_rvs = self.split_around_star( + rvalues, star_index, len(lvalues) + ) + + lr_pairs = list(zip(left_lvs, left_rvs)) + if star_lv: + rv_list = ListExpr(star_rvs) + rv_list.set_line(rvalue) + lr_pairs.append((star_lv.expr, rv_list)) + lr_pairs.extend(zip(right_lvs, right_rvs)) + + for lv, rv in lr_pairs: + self.check_assignment(lv, rv, infer_lvalue_type) + else: + self.check_multi_assignment(lvalues, rvalue, context, infer_lvalue_type) + + def check_rvalue_count_in_assignment( + self, + lvalues: list[Lvalue], + rvalue_count: int, + context: Context, + rvalue_unpack: int | None = None, + ) -> bool: + if rvalue_unpack is not None: + if not any(isinstance(e, StarExpr) for e in lvalues): + self.fail("Variadic tuple unpacking requires a star target", context) + return False + if len(lvalues) > rvalue_count: + self.fail(message_registry.TOO_MANY_TARGETS_FOR_VARIADIC_UNPACK, context) + return False + left_star_index = next(i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)) + left_prefix = left_star_index + left_suffix = len(lvalues) - left_star_index - 1 + right_prefix = rvalue_unpack + right_suffix = rvalue_count - rvalue_unpack - 1 + if left_suffix > right_suffix or left_prefix > right_prefix: + # Case of asymmetric unpack like: + # rv: tuple[int, *Ts, int, int] + # x, y, *xs, z = rv + # it is technically valid, but is tricky to reason about. + # TODO: support this (at least if the r.h.s. unpack is a homogeneous tuple). + self.fail(message_registry.TOO_MANY_TARGETS_FOR_VARIADIC_UNPACK, context) + return True + if any(isinstance(lvalue, StarExpr) for lvalue in lvalues): + if len(lvalues) - 1 > rvalue_count: + self.msg.wrong_number_values_to_unpack(rvalue_count, len(lvalues) - 1, context) + return False + elif rvalue_count != len(lvalues): + self.msg.wrong_number_values_to_unpack(rvalue_count, len(lvalues), context) + return False + return True + + def check_multi_assignment( + self, + lvalues: list[Lvalue], + rvalue: Expression, + context: Context, + infer_lvalue_type: bool = True, + rv_type: Type | None = None, + undefined_rvalue: bool = False, + ) -> None: + """Check the assignment of one rvalue to a number of lvalues.""" + + # Infer the type of an ordinary rvalue expression. + # TODO: maybe elsewhere; redundant. + rvalue_type = get_proper_type(rv_type or self.expr_checker.accept(rvalue)) + + if isinstance(rvalue_type, TypeVarLikeType): + rvalue_type = get_proper_type(rvalue_type.upper_bound) + + if isinstance(rvalue_type, UnionType): + # If this is an Optional type in non-strict Optional code, unwrap it. + relevant_items = rvalue_type.relevant_items() + if len(relevant_items) == 1: + rvalue_type = get_proper_type(relevant_items[0]) + + if ( + isinstance(rvalue_type, TupleType) + and find_unpack_in_list(rvalue_type.items) is not None + ): + # Normalize for consistent handling with "old-style" homogeneous tuples. + rvalue_type = expand_type(rvalue_type, {}) + + if isinstance(rvalue_type, AnyType): + for lv in lvalues: + if isinstance(lv, StarExpr): + lv = lv.expr + temp_node = self.temp_node( + AnyType(TypeOfAny.from_another_any, source_any=rvalue_type), context + ) + self.check_assignment(lv, temp_node, infer_lvalue_type) + elif isinstance(rvalue_type, TupleType): + self.check_multi_assignment_from_tuple( + lvalues, rvalue, rvalue_type, context, undefined_rvalue, infer_lvalue_type + ) + elif isinstance(rvalue_type, UnionType): + self.check_multi_assignment_from_union( + lvalues, rvalue, rvalue_type, context, infer_lvalue_type + ) + else: + rvalue_literal = rvalue_type + if isinstance(rvalue_type, Instance) and rvalue_type.type.fullname == "builtins.str": + if rvalue_type.last_known_value is None: + self.msg.unpacking_strings_disallowed(context) + else: + rvalue_literal = rvalue_type.last_known_value + if ( + isinstance(rvalue_literal, LiteralType) + and isinstance(rvalue_literal.value, str) + and len(lvalues) != len(rvalue_literal.value) + ): + self.msg.unpacking_strings_disallowed(context) + + self.check_multi_assignment_from_iterable( + lvalues, rvalue_type, context, infer_lvalue_type + ) + + def check_multi_assignment_from_union( + self, + lvalues: list[Expression], + rvalue: Expression, + rvalue_type: UnionType, + context: Context, + infer_lvalue_type: bool, + ) -> None: + """Check assignment to multiple lvalue targets when rvalue type is a Union[...]. + For example: + + t: Union[Tuple[int, int], Tuple[str, str]] + x, y = t + reveal_type(x) # Union[int, str] + + The idea in this case is to process the assignment for every item of the union. + Important note: the types are collected in two places, 'union_types' contains + inferred types for first assignments, 'assignments' contains the narrowed types + for binder. + """ + self.no_partial_types = True + transposed: tuple[list[Type], ...] = tuple([] for _ in self.flatten_lvalues(lvalues)) + # Notify binder that we want to defer bindings and instead collect types. + with self.binder.accumulate_type_assignments() as assignments: + for item in rvalue_type.items: + # Type check the assignment separately for each union item and collect + # the inferred lvalue types for each union item. + self.check_multi_assignment( + lvalues, + rvalue, + context, + infer_lvalue_type=infer_lvalue_type, + rv_type=item, + undefined_rvalue=True, + ) + for t, lv in zip(transposed, self.flatten_lvalues(lvalues)): + # We can access _type_maps directly since temporary type maps are + # only created within expressions. + t.append(self._type_maps[-1].pop(lv, AnyType(TypeOfAny.special_form))) + union_types = tuple(make_simplified_union(col) for col in transposed) + for expr, items in assignments.items(): + # Bind a union of types collected in 'assignments' to every expression. + if isinstance(expr, StarExpr): + expr = expr.expr + + # TODO: See comment in binder.py, ConditionalTypeBinder.assign_type + # It's unclear why the 'declared_type' param is sometimes 'None' + clean_items: list[tuple[Type, Type]] = [] + for type, declared_type in items: + assert declared_type is not None + clean_items.append((type, declared_type)) + + types, declared_types = zip(*clean_items) + self.binder.assign_type( + expr, + make_simplified_union(list(types)), + make_simplified_union(list(declared_types)), + ) + for union, lv in zip(union_types, self.flatten_lvalues(lvalues)): + # Properly store the inferred types. + _1, _2, inferred = self.check_lvalue(lv) + if inferred: + self.set_inferred_type(inferred, lv, union) + else: + self.store_type(lv, union) + self.no_partial_types = False + + def flatten_lvalues(self, lvalues: list[Expression]) -> list[Expression]: + res: list[Expression] = [] + for lv in lvalues: + if isinstance(lv, (TupleExpr, ListExpr)): + res.extend(self.flatten_lvalues(lv.items)) + if isinstance(lv, StarExpr): + # Unwrap StarExpr, since it is unwrapped by other helpers. + lv = lv.expr + res.append(lv) + return res + + def check_multi_assignment_from_tuple( + self, + lvalues: list[Lvalue], + rvalue: Expression, + rvalue_type: TupleType, + context: Context, + undefined_rvalue: bool, + infer_lvalue_type: bool = True, + ) -> None: + rvalue_unpack = find_unpack_in_list(rvalue_type.items) + if self.check_rvalue_count_in_assignment( + lvalues, len(rvalue_type.items), context, rvalue_unpack=rvalue_unpack + ): + star_index = next( + (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) + ) + + left_lvs = lvalues[:star_index] + star_lv = cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None + right_lvs = lvalues[star_index + 1 :] + + if not undefined_rvalue: + # Infer rvalue again, now in the correct type context. + lvalue_type = self.lvalue_type_for_inference(lvalues, rvalue_type) + reinferred_rvalue_type = get_proper_type( + self.expr_checker.accept(rvalue, lvalue_type) + ) + + if isinstance(reinferred_rvalue_type, TypeVarLikeType): + reinferred_rvalue_type = get_proper_type(reinferred_rvalue_type.upper_bound) + if isinstance(reinferred_rvalue_type, UnionType): + # If this is an Optional type in non-strict Optional code, unwrap it. + relevant_items = reinferred_rvalue_type.relevant_items() + if len(relevant_items) == 1: + reinferred_rvalue_type = get_proper_type(relevant_items[0]) + if isinstance(reinferred_rvalue_type, UnionType): + self.check_multi_assignment_from_union( + lvalues, rvalue, reinferred_rvalue_type, context, infer_lvalue_type + ) + return + if isinstance(reinferred_rvalue_type, AnyType): + # We can get Any if the current node is + # deferred. Doing more inference in deferred nodes + # is hard, so give up for now. We can also get + # here if reinferring types above changes the + # inferred return type for an overloaded function + # to be ambiguous. + return + assert isinstance(reinferred_rvalue_type, TupleType) + rvalue_type = reinferred_rvalue_type + + left_rv_types, star_rv_types, right_rv_types = self.split_around_star( + rvalue_type.items, star_index, len(lvalues) + ) + + for lv, rv_type in zip(left_lvs, left_rv_types): + self.check_assignment(lv, self.temp_node(rv_type, context), infer_lvalue_type) + if star_lv: + list_expr = ListExpr( + [ + ( + self.temp_node(rv_type, context) + if not isinstance(rv_type, UnpackType) + else StarExpr(self.temp_node(rv_type.type, context)) + ) + for rv_type in star_rv_types + ] + ) + list_expr.set_line(context) + self.check_assignment(star_lv.expr, list_expr, infer_lvalue_type) + for lv, rv_type in zip(right_lvs, right_rv_types): + self.check_assignment(lv, self.temp_node(rv_type, context), infer_lvalue_type) + else: + # Store meaningful Any types for lvalues, errors are already given + # by check_rvalue_count_in_assignment() + if infer_lvalue_type: + for lv in lvalues: + if ( + isinstance(lv, NameExpr) + and isinstance(lv.node, Var) + and lv.node.type is None + ): + lv.node.type = AnyType(TypeOfAny.from_error) + elif isinstance(lv, StarExpr): + if ( + isinstance(lv.expr, NameExpr) + and isinstance(lv.expr.node, Var) + and lv.expr.node.type is None + ): + lv.expr.node.type = self.named_generic_type( + "builtins.list", [AnyType(TypeOfAny.from_error)] + ) + + def lvalue_type_for_inference(self, lvalues: list[Lvalue], rvalue_type: TupleType) -> Type: + star_index = next( + (i for i, lv in enumerate(lvalues) if isinstance(lv, StarExpr)), len(lvalues) + ) + left_lvs = lvalues[:star_index] + star_lv = cast(StarExpr, lvalues[star_index]) if star_index != len(lvalues) else None + right_lvs = lvalues[star_index + 1 :] + left_rv_types, star_rv_types, right_rv_types = self.split_around_star( + rvalue_type.items, star_index, len(lvalues) + ) + + type_parameters: list[Type] = [] + + def append_types_for_inference(lvs: list[Expression], rv_types: list[Type]) -> None: + for lv, rv_type in zip(lvs, rv_types): + sub_lvalue_type, index_expr, inferred = self.check_lvalue(lv) + if sub_lvalue_type and not isinstance(sub_lvalue_type, PartialType): + type_parameters.append(sub_lvalue_type) + else: # index lvalue + # TODO Figure out more precise type context, probably + # based on the type signature of the _set method. + type_parameters.append(rv_type) + + append_types_for_inference(left_lvs, left_rv_types) + + if star_lv: + sub_lvalue_type, index_expr, inferred = self.check_lvalue(star_lv.expr) + if sub_lvalue_type and not isinstance(sub_lvalue_type, PartialType): + type_parameters.extend([sub_lvalue_type] * len(star_rv_types)) + else: # index lvalue + # TODO Figure out more precise type context, probably + # based on the type signature of the _set method. + type_parameters.extend(star_rv_types) + + append_types_for_inference(right_lvs, right_rv_types) + + return TupleType(type_parameters, self.named_type("builtins.tuple")) + + def split_around_star( + self, items: list[T], star_index: int, length: int + ) -> tuple[list[T], list[T], list[T]]: + """Splits a list of items in three to match another list of length 'length' + that contains a starred expression at 'star_index' in the following way: + + star_index = 2, length = 5 (i.e., [a,b,*,c,d]), items = [1,2,3,4,5,6,7] + returns in: ([1,2], [3,4,5], [6,7]) + """ + nr_right_of_star = length - star_index - 1 + right_index = -nr_right_of_star if nr_right_of_star != 0 else len(items) + left = items[:star_index] + star = items[star_index:right_index] + right = items[right_index:] + return left, star, right + + def type_is_iterable(self, type: Type) -> bool: + type = get_proper_type(type) + if isinstance(type, FunctionLike) and type.is_type_obj(): + type = type.fallback + return is_subtype( + type, self.named_generic_type("typing.Iterable", [AnyType(TypeOfAny.special_form)]) + ) + + def check_multi_assignment_from_iterable( + self, + lvalues: list[Lvalue], + rvalue_type: Type, + context: Context, + infer_lvalue_type: bool = True, + ) -> None: + rvalue_type = get_proper_type(rvalue_type) + if self.type_is_iterable(rvalue_type): + item_type = self.iterable_item_type(rvalue_type, context) + for lv in lvalues: + if isinstance(lv, StarExpr): + items_type = self.named_generic_type("builtins.list", [item_type]) + self.check_assignment( + lv.expr, self.temp_node(items_type, context), infer_lvalue_type + ) + else: + self.check_assignment( + lv, self.temp_node(item_type, context), infer_lvalue_type + ) + else: + self.msg.type_not_iterable(rvalue_type, context) + + def check_lvalue( + self, lvalue: Lvalue, rvalue: Expression | None = None + ) -> tuple[Type | None, IndexExpr | None, Var | None]: + lvalue_type = None + index_lvalue = None + inferred = None + + # When revisiting the initial assignment (for example in a loop), + # treat is as regular if redefinitions are allowed. + skip_definition = ( + self.options.allow_redefinition_new + and isinstance(lvalue, NameExpr) + and isinstance(lvalue.node, Var) + and lvalue.node.is_inferred + and lvalue.node.type is not None + and not isinstance(lvalue.node.type, PartialType) + # Indexes in for loops require special handling, we need to reset them to + # a literal value on each loop, but binder doesn't work well with literals. + and not lvalue.node.is_index_var + ) + + if ( + self.is_definition(lvalue) + and (not isinstance(lvalue, NameExpr) or isinstance(lvalue.node, Var)) + and not skip_definition + ): + if isinstance(lvalue, NameExpr): + assert isinstance(lvalue.node, Var) + inferred = lvalue.node + else: + assert isinstance(lvalue, MemberExpr) + self.expr_checker.accept(lvalue.expr) + inferred = lvalue.def_var + elif isinstance(lvalue, IndexExpr): + index_lvalue = lvalue + elif isinstance(lvalue, MemberExpr): + lvalue_type = self.expr_checker.analyze_ordinary_member_access(lvalue, True, rvalue) + self.store_type(lvalue, lvalue_type) + elif isinstance(lvalue, NameExpr): + lvalue_type = self.expr_checker.analyze_ref_expr(lvalue, lvalue=True) + if ( + self.options.allow_redefinition_new + and isinstance(lvalue.node, Var) + # We allow redefinition for function arguments inside function body. + # Although we normally do this for variables without annotation, users + # don't have a choice to leave a function argument without annotation. + and (lvalue.node.is_inferred or lvalue.node.is_argument) + ): + inferred = lvalue.node + self.store_type(lvalue, lvalue_type) + elif isinstance(lvalue, (TupleExpr, ListExpr)): + types = [ + self.check_lvalue(sub_expr)[0] or + # This type will be used as a context for further inference of rvalue, + # we put Uninhabited if there is no information available from lvalue. + UninhabitedType() + for sub_expr in lvalue.items + ] + lvalue_type = TupleType(types, self.named_type("builtins.tuple")) + elif isinstance(lvalue, StarExpr): + lvalue_type, _, _ = self.check_lvalue(lvalue.expr) + else: + lvalue_type = self.expr_checker.accept(lvalue) + + return lvalue_type, index_lvalue, inferred + + def is_definition(self, s: Lvalue) -> bool: + if isinstance(s, NameExpr): + if s.is_inferred_def: + return True + # If the node type is not defined, this must the first assignment + # that we process => this is a definition, even though the semantic + # analyzer did not recognize this as such. This can arise in code + # that uses isinstance checks, if type checking of the primary + # definition is skipped due to an always False type check. + node = s.node + if isinstance(node, Var): + return node.type is None + elif isinstance(s, MemberExpr): + return s.is_inferred_def + return False + + def infer_variable_type( + self, name: Var, lvalue: Lvalue, init_type: Type, context: Context + ) -> None: + """Infer the type of initialized variables from initializer type.""" + if isinstance(init_type, DeletedType): + self.msg.deleted_as_rvalue(init_type, context) + elif ( + not is_valid_inferred_type( + init_type, + self.options, + is_lvalue_final=name.is_final, + is_lvalue_member=isinstance(lvalue, MemberExpr), + ) + and not ( + # Trust None assignments to dunder methods + # This is a bit ad-hoc, but it improves protocol + # (non-)assignability, for instance `__hash__ = None` + self.scope.active_class() + and is_dunder(name.name) + and isinstance(get_proper_type(init_type), NoneType) + ) + and not self.no_partial_types + ): + # We cannot use the type of the initialization expression for full type + # inference (it's not specific enough), but we might be able to give + # partial type which will be made more specific later. A partial type + # gets generated in assignment like 'x = []' where item type is not known. + if name.name != "_" and not self.infer_partial_type(name, lvalue, init_type): + self.msg.need_annotation_for_var(name, context, self.options) + self.set_inference_error_fallback_type(name, lvalue, init_type) + elif ( + isinstance(lvalue, MemberExpr) + and self.inferred_attribute_types is not None + and lvalue.def_var + and lvalue.def_var in self.inferred_attribute_types + and not is_same_type(self.inferred_attribute_types[lvalue.def_var], init_type) + ): + # Multiple, inconsistent types inferred for an attribute. + self.msg.need_annotation_for_var(name, context, self.options) + name.type = AnyType(TypeOfAny.from_error) + else: + # Infer type of the target. + + # Make the type more general (strip away function names etc.). + init_type = strip_type(init_type) + + self.set_inferred_type(name, lvalue, init_type) + if self.options.allow_redefinition_new: + self.binder.assign_type(lvalue, init_type, init_type) + + def infer_partial_type(self, name: Var, lvalue: Lvalue, init_type: Type) -> bool: + init_type = get_proper_type(init_type) + if isinstance(init_type, NoneType) and ( + isinstance(lvalue, MemberExpr) or not self.options.allow_redefinition_new + ): + # When using --allow-redefinition-new, None types aren't special + # when inferring simple variable types. + partial_type = PartialType(None, name) + elif isinstance(init_type, Instance): + fullname = init_type.type.fullname + is_ref = isinstance(lvalue, RefExpr) + if ( + is_ref + and ( + fullname == "builtins.list" + or fullname == "builtins.set" + or fullname == "builtins.dict" + or fullname == "collections.OrderedDict" + ) + and all( + isinstance(t, (NoneType, UninhabitedType)) + for t in get_proper_types(init_type.args) + ) + ): + partial_type = PartialType(init_type.type, name) + elif is_ref and fullname == "collections.defaultdict": + arg0 = get_proper_type(init_type.args[0]) + arg1 = get_proper_type(init_type.args[1]) + if isinstance( + arg0, (NoneType, UninhabitedType) + ) and self.is_valid_defaultdict_partial_value_type(arg1): + arg1 = erase_type(arg1) + assert isinstance(arg1, Instance) + partial_type = PartialType(init_type.type, name, arg1) + else: + return False + else: + return False + else: + return False + self.set_inferred_type(name, lvalue, partial_type) + self.partial_types[-1].map[name] = lvalue + return True + + def is_valid_defaultdict_partial_value_type(self, t: ProperType) -> bool: + """Check if t can be used as the basis for a partial defaultdict value type. + + Examples: + + * t is 'int' --> True + * t is 'list[Never]' --> True + * t is 'dict[...]' --> False (only generic types with a single type + argument supported) + """ + if not isinstance(t, Instance): + return False + if len(t.args) == 0: + return True + if len(t.args) == 1: + arg = get_proper_type(t.args[0]) + if self.options.old_type_inference: + # Allow leaked TypeVars for legacy inference logic. + allowed = isinstance(arg, (UninhabitedType, NoneType, TypeVarType)) + else: + allowed = isinstance(arg, (UninhabitedType, NoneType)) + if allowed: + return True + return False + + def set_inferred_type(self, var: Var, lvalue: Lvalue, type: Type) -> None: + """Store inferred variable type. + + Store the type to both the variable node and the expression node that + refers to the variable (lvalue). If var is None, do nothing. + """ + if var and not self.current_node_deferred: + var.type = type + var.is_inferred = True + var.is_ready = True + if var not in self.var_decl_frames: + # Used for the hack to improve optional type inference in conditionals + self.var_decl_frames[var] = {frame.id for frame in self.binder.frames} + if isinstance(lvalue, MemberExpr) and self.inferred_attribute_types is not None: + # Store inferred attribute type so that we can check consistency afterwards. + if lvalue.def_var is not None: + self.inferred_attribute_types[lvalue.def_var] = type + self.store_type(lvalue, type) + p_type = get_proper_type(type) + definition = None + if isinstance(p_type, CallableType): + definition = p_type.definition + elif isinstance(p_type, Overloaded): + # Randomly select first item, if items are different, there will + # be an error during semantic analysis. + definition = p_type.items[0].definition + if definition: + if is_node_static(definition): + var.is_staticmethod = True + elif is_classmethod_node(definition): + var.is_classmethod = True + elif is_property(definition): + var.is_property = True + if isinstance(p_type, Overloaded): + # TODO: in theory we can have a property with a deleter only. + var.is_settable_property = True + assert isinstance(definition, Decorator), definition + var.setter_type = definition.var.setter_type + + def set_inference_error_fallback_type(self, var: Var, lvalue: Lvalue, type: Type) -> None: + """Store best known type for variable if type inference failed. + + If a program ignores error on type inference error, the variable should get some + inferred type so that it can be used later on in the program. Example: + + x = [] # type: ignore + x.append(1) # Should be ok! + + We implement this here by giving x a valid type (replacing inferred Never with Any). + """ + fallback = self.inference_error_fallback_type(type) + self.set_inferred_type(var, lvalue, fallback) + + def inference_error_fallback_type(self, type: Type) -> Type: + fallback = type.accept(SetNothingToAny()) + # Type variables may leak from inference, see https://github.com/python/mypy/issues/5738, + # we therefore need to erase them. + return erase_typevars(fallback) + + def simple_rvalue(self, rvalue: Expression) -> bool: + """Returns True for expressions for which inferred type should not depend on context. + + Note that this function can still return False for some expressions where inferred type + does not depend on context. It only exists for performance optimizations. + """ + if isinstance(rvalue, (IntExpr, StrExpr, BytesExpr, FloatExpr, RefExpr)): + return True + if isinstance(rvalue, CallExpr): + if isinstance(rvalue.callee, RefExpr) and isinstance( + rvalue.callee.node, SYMBOL_FUNCBASE_TYPES + ): + typ = rvalue.callee.node.type + if isinstance(typ, CallableType): + return not typ.variables + elif isinstance(typ, Overloaded): + return not any(item.variables for item in typ.items) + return False + + def infer_rvalue_with_fallback_context( + self, + lvalue_type: Type | None, + rvalue: Expression, + preferred_context: Type | None, + fallback_context: Type | None, + inferred: Var | None, + always_allow_any: bool, + ) -> Type: + """Infer rvalue type in two type context and select the best one. + + See comments below for supported fallback scenarios. + """ + assert fallback_context is not preferred_context + # TODO: make assignment checking correct in presence of walrus in r.h.s. + # We may accept r.h.s. twice. In presence of walrus this can lead to weird + # false negatives and "back action". A proper solution would be to use + # binder.accumulate_type_assignments() and assign the types inferred for type + # context that is ultimately used. This is however tricky with redefinitions. + # For now we simply disable second accept in cases known to cause problems, + # see e.g. testAssignToOptionalTupleWalrus. + binder_version = self.binder.version + + fallback_context_used = False + with ( + self.msg.filter_errors(save_filtered_errors=True) as local_errors, + self.local_type_map as type_map, + ): + rvalue_type = self.expr_checker.accept( + rvalue, type_context=preferred_context, always_allow_any=always_allow_any + ) + + # There are two cases where we want to try re-inferring r.h.s. in a fallback + # type context. First case is when redefinitions are allowed, and we got + # invalid type when using the preferred (empty) type context. + redefinition_fallback = ( + inferred is not None + and not inferred.is_argument + and not is_valid_inferred_type(rvalue_type, self.options) + ) + # For function arguments the preference order is opposite, and we use errors + # during type-checking as the fallback trigger. + argument_redefinition_fallback = ( + inferred is not None and inferred.is_argument and local_errors.has_new_errors() + ) + # Try re-inferring r.h.s. in empty context for union with explicit annotation, + # and use it results in a narrower type. This helps with various practical + # examples, see e.g. testOptionalTypeNarrowedByGenericCall. + union_fallback = ( + preferred_context is not None + and isinstance(get_proper_type(lvalue_type), UnionType) + and binder_version == self.binder.version + ) + + # Skip literal types, as they have special logic (for better errors). + try_fallback = redefinition_fallback or union_fallback or argument_redefinition_fallback + if try_fallback and not is_literal_type_like(rvalue_type): + with ( + self.msg.filter_errors(save_filtered_errors=True) as alt_local_errors, + self.local_type_map as alt_type_map, + ): + alt_rvalue_type = self.expr_checker.accept( + rvalue, fallback_context, always_allow_any=always_allow_any + ) + if ( + not alt_local_errors.has_new_errors() + and is_valid_inferred_type(alt_rvalue_type, self.options) + and ( + # For redefinition fallbacks we are fine getting not a subtype. + redefinition_fallback + or argument_redefinition_fallback + # Skip Any type, since it is special cased in binder. + or not isinstance(get_proper_type(alt_rvalue_type), AnyType) + and is_proper_subtype(alt_rvalue_type, rvalue_type) + ) + ): + fallback_context_used = True + rvalue_type = alt_rvalue_type + self.store_types(alt_type_map) + + if not fallback_context_used: + self.msg.add_errors(local_errors.filtered_errors()) + self.store_types(type_map) + return rvalue_type + + def check_simple_assignment( + self, + lvalue_type: Type | None, + rvalue: Expression, + context: Context, + msg: ErrorMessage = message_registry.INCOMPATIBLE_TYPES_IN_ASSIGNMENT, + lvalue_name: str = "variable", + rvalue_name: str = "expression", + *, + notes: list[str] | None = None, + lvalue: Expression | None = None, + inferred: Var | None = None, + ) -> tuple[Type, Type | None]: + if self.is_stub and isinstance(rvalue, EllipsisExpr): + # '...' is always a valid initializer in a stub. + return AnyType(TypeOfAny.special_form), lvalue_type + else: + always_allow_any = lvalue_type is not None and not isinstance( + get_proper_type(lvalue_type), AnyType + ) + + # If redefinitions are allowed (i.e. we have --allow-redefinition-new + # and a variable without annotation) or if a variable has union type we + # try inferring r.h.s. twice with a fallback type context. The only exception + # is TypedDicts, they are often useless without context. + try_fallback = ( + inferred is not None or isinstance(get_proper_type(lvalue_type), UnionType) + ) and not self.simple_rvalue(rvalue) + + if not try_fallback or lvalue_type is None or is_typeddict_type_context(lvalue_type): + rvalue_type = self.expr_checker.accept( + rvalue, type_context=lvalue_type, always_allow_any=always_allow_any + ) + else: + # Prefer full type context for function arguments as this reduces + # false positives, see issue #19918 for discussion. + if inferred is not None and not inferred.is_argument: + preferred = None + fallback = lvalue_type + else: + preferred = lvalue_type + fallback = None + + rvalue_type = self.infer_rvalue_with_fallback_context( + lvalue_type, rvalue, preferred, fallback, inferred, always_allow_any + ) + + if ( + inferred is not None + and not is_valid_inferred_type(rvalue_type, self.options) + and ( + not inferred.type + or isinstance(inferred.type, PartialType) + # This additional check is to give an error instead of inferring + # a useless type like None | list[Never] in case of "double-partial" + # types that are not supported yet, see issue #20257. + or not is_subtype(rvalue_type, inferred.type) + ) + ): + self.msg.need_annotation_for_var(inferred, inferred, self.options) + rvalue_type = rvalue_type.accept(SetNothingToAny()) + + if ( + isinstance(lvalue, NameExpr) + and inferred is not None + and inferred.type is not None + and not inferred.is_final + ): + new_inferred = remove_instance_last_known_values(rvalue_type) + # Should we widen the inferred type or the lvalue? Variables defined + # at module level or class bodies can't be widened in functions, or + # in another module. + if ( + not self.refers_to_different_scope(lvalue) + and not isinstance(inferred.type, PartialType) + and not is_proper_subtype(new_inferred, inferred.type) + ): + lvalue_type = make_simplified_union([inferred.type, new_inferred]) + # Widen the type to the union of original and new type. + if not inferred.is_index_var: + # Skip index variables as they are reset on each loop. + self.widened_vars.append(inferred.name) + self.set_inferred_type(inferred, lvalue, lvalue_type) + self.binder.put(lvalue, rvalue_type) + # TODO: A bit hacky, maybe add a binder method that does put and + # updates declaration? + lit = literal_hash(lvalue) + if lit is not None: + self.binder.declarations[lit] = lvalue_type + + if isinstance(rvalue_type, DeletedType): + self.msg.deleted_as_rvalue(rvalue_type, context) + if isinstance(lvalue_type, DeletedType): + self.msg.deleted_as_lvalue(lvalue_type, context) + elif lvalue_type: + self.check_subtype( + # Preserve original aliases for error messages when possible. + rvalue_type, + lvalue_type, + context, + msg, + f"{rvalue_name} has type", + f"{lvalue_name} has type", + notes=notes, + ) + return rvalue_type, lvalue_type + + def refers_to_different_scope(self, name: NameExpr) -> bool: + if name.kind == LDEF: + # TODO: Consider reference to outer function as a different scope? + return False + elif self.scope.top_level_function() is not None: + # A non-local reference from within a function must refer to a different scope + return True + elif name.kind == GDEF and name.fullname.rpartition(".")[0] != self.tree.fullname: + # Reference to global definition from another module + return True + return False + + def check_member_assignment( + self, + lvalue: MemberExpr, + instance_type: Type, + set_lvalue_type: Type, + rvalue: Expression, + context: Context, + ) -> tuple[Type, Type, bool]: + """Type member assignment. + + This defers to check_simple_assignment, unless the member expression + is a descriptor, in which case this checks descriptor semantics as well. + + Return the inferred rvalue_type, inferred lvalue_type, and whether to use the binder + for this assignment. + """ + instance_type = get_proper_type(instance_type) + # Descriptors don't participate in class-attribute access + if (isinstance(instance_type, FunctionLike) and instance_type.is_type_obj()) or isinstance( + instance_type, TypeType + ): + rvalue_type, _ = self.check_simple_assignment(set_lvalue_type, rvalue, context) + return rvalue_type, set_lvalue_type, True + + with self.msg.filter_errors(filter_deprecated=True): + get_lvalue_type = self.expr_checker.analyze_ordinary_member_access( + lvalue, is_lvalue=False + ) + + # Special case: if the rvalue_type is a subtype of '__get__' type, and + # '__get__' type is narrower than '__set__', then we invoke the binder to narrow type + # by this assignment. Technically, this is not safe, but in practice this is + # what a user expects. + rvalue_type, _ = self.check_simple_assignment(set_lvalue_type, rvalue, context) + rvalue_type = rvalue_type if is_subtype(rvalue_type, get_lvalue_type) else get_lvalue_type + return rvalue_type, set_lvalue_type, is_subtype(get_lvalue_type, set_lvalue_type) + + def check_indexed_assignment( + self, lvalue: IndexExpr, rvalue: Expression, context: Context + ) -> None: + """Type check indexed assignment base[index] = rvalue. + + The lvalue argument is the base[index] expression. + """ + self.try_infer_partial_type_from_indexed_assignment(lvalue, rvalue) + basetype = get_proper_type(self.expr_checker.accept(lvalue.base)) + method_type = self.expr_checker.analyze_external_member_access( + "__setitem__", basetype, lvalue + ) + + lvalue.method_type = method_type + res_type, _ = self.expr_checker.check_method_call( + "__setitem__", + basetype, + method_type, + [lvalue.index, rvalue], + [nodes.ARG_POS, nodes.ARG_POS], + context, + ) + res_type = get_proper_type(res_type) + if isinstance(res_type, UninhabitedType) and not res_type.ambiguous: + self.binder.unreachable() + + def replace_partial_type( + self, var: Var, new_type: Type, partial_types: dict[Var, Context] + ) -> None: + """Replace the partial type of var with a non-partial type.""" + var.type = new_type + # Updating a partial type should invalidate expression caches. + self.binder.version += 1 + del partial_types[var] + if self.options.allow_redefinition_new: + # When using --allow-redefinition-new, binder tracks all types of + # simple variables. + n = NameExpr(var.name) + n.node = var + self.binder.assign_type(n, new_type, new_type) + + def try_infer_partial_type_from_indexed_assignment( + self, lvalue: IndexExpr, rvalue: Expression + ) -> None: + # TODO: Should we share some of this with try_infer_partial_type? + var = None + if isinstance(lvalue.base, RefExpr) and isinstance(lvalue.base.node, Var): + var = lvalue.base.node + elif isinstance(lvalue.base, MemberExpr): + var = self.expr_checker.get_partial_self_var(lvalue.base) + if isinstance(var, Var): + if isinstance(var.type, PartialType): + type_type = var.type.type + if type_type is None: + return # The partial type is None. + partial_types = self.find_partial_types(var) + if partial_types is None: + return + typename = type_type.fullname + if ( + typename == "builtins.dict" + or typename == "collections.OrderedDict" + or typename == "collections.defaultdict" + ): + # TODO: Don't infer things twice. + key_type = self.expr_checker.accept(lvalue.index) + value_type = self.expr_checker.accept(rvalue) + if ( + is_valid_inferred_type(key_type, self.options) + and is_valid_inferred_type(value_type, self.options) + and not self.current_node_deferred + and not ( + typename == "collections.defaultdict" + and var.type.value_type is not None + and not is_equivalent(value_type, var.type.value_type) + ) + ): + new_type = self.named_generic_type(typename, [key_type, value_type]) + self.replace_partial_type(var, new_type, partial_types) + + def type_requires_usage(self, typ: Type) -> tuple[str, ErrorCode] | None: + """Some types require usage in all cases. The classic example is + an unused coroutine. + + In the case that it does require usage, returns a note to attach + to the error message. + """ + proper_type = get_proper_type(typ) + if isinstance(proper_type, Instance): + # We use different error codes for generic awaitable vs coroutine. + # Coroutines are on by default, whereas generic awaitables are not. + if proper_type.type.fullname == "typing.Coroutine": + return ("Are you missing an await?", UNUSED_COROUTINE) + if proper_type.type.get("__await__") is not None: + return ("Are you missing an await?", UNUSED_AWAITABLE) + return None + + def visit_expression_stmt(self, s: ExpressionStmt) -> None: + expr_type = self.expr_checker.accept(s.expr, allow_none_return=True, always_allow_any=True) + error_note_and_code = self.type_requires_usage(expr_type) + if error_note_and_code: + error_note, code = error_note_and_code + self.fail( + message_registry.TYPE_MUST_BE_USED.format(format_type(expr_type, self.options)), + s, + code=code, + ) + self.note(error_note, s, code=code) + + def visit_return_stmt(self, s: ReturnStmt) -> None: + """Type check a return statement.""" + self.check_return_stmt(s) + self.binder.unreachable() + + def infer_context_dependent( + self, expr: Expression, type_ctx: Type, allow_none_func_call: bool + ) -> ProperType: + """Infer type of expression with fallback to empty type context.""" + with self.msg.filter_errors(filter_deprecated=True, save_filtered_errors=True) as msg: + with ( + self.local_type_map as type_map, + # Prevent any narrowing (e.g. from walrus) to have effect during second accept. + self.binder.frame_context(can_skip=False, discard=True), + ): + typ = get_proper_type( + self.expr_checker.accept( + expr, type_ctx, allow_none_return=allow_none_func_call + ) + ) + if not msg.has_new_errors(): + self.store_types(type_map) + return typ + + # If there are errors with the original type context, try re-inferring in empty context. + original_messages = msg.filtered_errors() + original_type_map = type_map + with self.msg.filter_errors(filter_deprecated=True, save_filtered_errors=True) as msg: + with self.local_type_map as type_map: + alt_typ = get_proper_type( + self.expr_checker.accept(expr, None, allow_none_return=allow_none_func_call) + ) + if not msg.has_new_errors() and is_subtype(alt_typ, type_ctx): + self.store_types(type_map) + return alt_typ + + # If empty fallback didn't work, use results from the original type context. + self.msg.add_errors(original_messages) + self.store_types(original_type_map) + return typ + + def check_return_stmt(self, s: ReturnStmt) -> None: + defn = self.scope.current_function() + if defn is not None: + if defn.is_generator: + return_type = self.get_generator_return_type( + self.return_types[-1], defn.is_coroutine + ) + elif defn.is_coroutine: + return_type = self.get_coroutine_return_type(self.return_types[-1]) + else: + return_type = self.return_types[-1] + return_type = get_proper_type(return_type) + + is_lambda = isinstance(defn, LambdaExpr) + if isinstance(return_type, UninhabitedType): + # Avoid extra error messages for failed inference in lambdas + if not is_lambda and not return_type.ambiguous: + self.fail(message_registry.NO_RETURN_EXPECTED, s) + return + + if s.expr: + declared_none_return = isinstance(return_type, NoneType) + declared_any_return = isinstance(return_type, AnyType) + + # This controls whether or not we allow a function call that + # returns None as the expression of this return statement. + # E.g. `return f()` for some `f` that returns None. We allow + # this only if we're in a lambda or in a function that returns + # `None` or `Any`. + allow_none_func_call = is_lambda or declared_none_return or declared_any_return + + # Return with a value. + if ( + isinstance(s.expr, (CallExpr, ListExpr, TupleExpr, DictExpr, SetExpr, OpExpr)) + or isinstance(s.expr, AwaitExpr) + and isinstance(s.expr.expr, CallExpr) + ): + # For expressions that (strongly) depend on type context (i.e. those that + # are handled like a function call), we allow fallback to empty type context + # in case of errors, this improves user experience in some cases, + # see e.g. testReturnFallbackInference. + typ = self.infer_context_dependent(s.expr, return_type, allow_none_func_call) + else: + typ = get_proper_type( + self.expr_checker.accept( + s.expr, return_type, allow_none_return=allow_none_func_call + ) + ) + # Treat NotImplemented as having type Any, consistent with its + # definition in typeshed prior to python/typeshed#4222. + if isinstance(typ, Instance) and typ.type.fullname in NOT_IMPLEMENTED_TYPE_NAMES: + typ = AnyType(TypeOfAny.special_form) + + if defn.is_async_generator: + self.fail(message_registry.RETURN_IN_ASYNC_GENERATOR, s) + return + # Returning a value of type Any is always fine. + if isinstance(typ, AnyType): + # (Unless you asked to be warned in that case, and the + # function is not declared to return Any) + if ( + self.options.warn_return_any + and not self.current_node_deferred + and not is_proper_subtype(AnyType(TypeOfAny.special_form), return_type) + and not ( + defn.name in BINARY_MAGIC_METHODS + and is_literal_not_implemented(s.expr) + ) + and not ( + isinstance(return_type, Instance) + and return_type.type.fullname == "builtins.object" + ) + and not is_lambda + ): + self.msg.incorrectly_returning_any(return_type, s) + return + + # Disallow return expressions in functions declared to return + # None, subject to two exceptions below. + if declared_none_return: + # Lambdas are allowed to have None returns. + # Functions returning a value of type None are allowed to have a None return. + if is_lambda or isinstance(typ, NoneType): + return + self.fail(message_registry.NO_RETURN_VALUE_EXPECTED, s) + else: + self.check_subtype( + subtype_label="got", + subtype=typ, + supertype_label="expected", + supertype=return_type, + context=s.expr, + outer_context=s, + msg=message_registry.INCOMPATIBLE_RETURN_VALUE_TYPE, + ) + else: + # Empty returns are valid in Generators with Any typed returns, but not in + # coroutines. + if ( + defn.is_generator + and not defn.is_coroutine + and isinstance(return_type, AnyType) + ): + return + + if isinstance(return_type, (NoneType, AnyType)): + return + + if self.in_checked_function(): + self.fail(message_registry.RETURN_VALUE_EXPECTED, s) + + def visit_if_stmt(self, s: IfStmt) -> None: + """Type check an if statement.""" + # This frame records the knowledge from previous if/elif clauses not being taken. + # Fall-through to the original frame is handled explicitly in each block. + with self.binder.frame_context(can_skip=False, conditional_frame=True, fall_through=0): + for e, b in zip(s.expr, s.body): + t = get_proper_type(self.expr_checker.accept(e)) + + if isinstance(t, DeletedType): + self.msg.deleted_as_rvalue(t, s) + + if_map, else_map = self.find_isinstance_check(e) + + s.unreachable_else = is_unreachable_map(else_map) + + # XXX Issue a warning if condition is always False? + with self.binder.frame_context(can_skip=True, fall_through=2): + self.push_type_map(if_map, from_assignment=False) + self.accept(b) + + # XXX Issue a warning if condition is always True? + self.push_type_map(else_map, from_assignment=False) + + with self.binder.frame_context(can_skip=False, fall_through=2): + if s.else_body: + self.accept(s.else_body) + + def visit_while_stmt(self, s: WhileStmt) -> None: + """Type check a while statement.""" + if_stmt = IfStmt([s.expr], [s.body], None) + if_stmt.set_line(s) + self.accept_loop(if_stmt, s.else_body, exit_condition=s.expr) + + def visit_operator_assignment_stmt(self, s: OperatorAssignmentStmt) -> None: + """Type check an operator assignment statement, e.g. x += 1.""" + self.try_infer_partial_generic_type_from_assignment(s.lvalue, s.rvalue, s.op) + if isinstance(s.lvalue, MemberExpr): + # Special case, some additional errors may be given for + # assignments to read-only or final attributes. + lvalue_type = self.expr_checker.visit_member_expr(s.lvalue, True) + else: + lvalue_type = self.expr_checker.accept(s.lvalue) + inplace, method = infer_operator_assignment_method(lvalue_type, s.op) + if inplace: + # There is __ifoo__, treat as x = x.__ifoo__(y) + rvalue_type, _ = self.expr_checker.check_op(method, lvalue_type, s.rvalue, s) + if not is_subtype(rvalue_type, lvalue_type): + self.msg.incompatible_operator_assignment(s.op, s) + else: + # There is no __ifoo__, treat as x = x y + expr = OpExpr(s.op, s.lvalue, s.rvalue) + expr.set_line(s) + self.check_assignment( + lvalue=s.lvalue, rvalue=expr, infer_lvalue_type=True, new_syntax=False + ) + self.check_final(s) + + def visit_assert_stmt(self, s: AssertStmt) -> None: + self.expr_checker.accept(s.expr) + + if isinstance(s.expr, TupleExpr) and len(s.expr.items) > 0: + self.fail(message_registry.MALFORMED_ASSERT, s) + + # If this is asserting some isinstance check, bind that type in the following code + true_map, else_map = self.find_isinstance_check(s.expr) + if s.msg is not None: + self.expr_checker.analyze_cond_branch( + else_map, s.msg, None, suppress_unreachable_errors=False + ) + self.push_type_map(true_map) + + def visit_raise_stmt(self, s: RaiseStmt) -> None: + """Type check a raise statement.""" + if s.expr: + self.type_check_raise(s.expr, s) + if s.from_expr: + self.type_check_raise(s.from_expr, s, optional=True) + self.binder.unreachable() + + def type_check_raise(self, e: Expression, s: RaiseStmt, optional: bool = False) -> None: + typ = get_proper_type(self.expr_checker.accept(e)) + if isinstance(typ, DeletedType): + self.msg.deleted_as_rvalue(typ, e) + return + + exc_type = self.named_type("builtins.BaseException") + expected_type_items = [exc_type, TypeType(exc_type)] + if optional: + # This is used for `x` part in a case like `raise e from x`, + # where we allow `raise e from None`. + expected_type_items.append(NoneType()) + + self.check_subtype( + typ, UnionType.make_union(expected_type_items), s, message_registry.INVALID_EXCEPTION + ) + + if isinstance(typ, FunctionLike): + # https://github.com/python/mypy/issues/11089 + self.expr_checker.check_call(typ, [], [], e) + + if (isinstance(typ, Instance) and typ.type.fullname in NOT_IMPLEMENTED_TYPE_NAMES) or ( + isinstance(e, CallExpr) + and isinstance(e.callee, RefExpr) + and e.callee.fullname == "builtins.NotImplemented" + ): + self.fail( + message_registry.INVALID_EXCEPTION.with_additional_msg( + '; did you mean "NotImplementedError"?' + ), + s, + ) + + def visit_try_stmt(self, s: TryStmt) -> None: + """Type check a try statement.""" + + iter_errors = None + + # Our enclosing frame will get the result if the try/except falls through. + # This one gets all possible states after the try block exited abnormally + # (by exception, return, break, etc.) + with self.binder.frame_context(can_skip=False, fall_through=0): + # Not only might the body of the try statement exit + # abnormally, but so might an exception handler or else + # clause. The finally clause runs in *all* cases, so we + # need an outer try frame to catch all intermediate states + # in case an exception is raised during an except or else + # clause. As an optimization, only create the outer try + # frame when there actually is a finally clause. + self.visit_try_without_finally(s, try_frame=bool(s.finally_body)) + if s.finally_body: + # First we check finally_body is type safe on all abnormal exit paths + iter_errors = IterationDependentErrors() + with IterationErrorWatcher(self.msg.errors, iter_errors): + self.accept(s.finally_body) + + if s.finally_body: + # Then we try again for the more restricted set of options + # that can fall through. (Why do we need to check the + # finally clause twice? Depending on whether the finally + # clause was reached by the try clause falling off the end + # or exiting abnormally, after completing the finally clause + # either flow will continue to after the entire try statement + # or the exception/return/etc. will be processed and control + # flow will escape. We need to check that the finally clause + # type checks in both contexts, but only the resulting types + # from the latter context affect the type state in the code + # that follows the try statement.) + assert iter_errors is not None + if not self.binder.is_unreachable(): + with IterationErrorWatcher(self.msg.errors, iter_errors): + self.accept(s.finally_body) + self.msg.iteration_dependent_errors(iter_errors) + + def visit_try_without_finally(self, s: TryStmt, try_frame: bool) -> None: + """Type check a try statement, ignoring the finally block. + + On entry, the top frame should receive all flow that exits the + try block abnormally (i.e., such that the else block does not + execute), and its parent should receive all flow that exits + the try block normally. + """ + # This frame will run the else block if the try fell through. + # In that case, control flow continues to the parent of what + # was the top frame on entry. + with self.binder.frame_context(can_skip=False, fall_through=2, try_frame=try_frame): + # This frame receives exit via exception, and runs exception handlers + with self.binder.frame_context(can_skip=False, conditional_frame=True, fall_through=2): + # Finally, the body of the try statement + with self.binder.frame_context(can_skip=False, fall_through=2, try_frame=True): + self.accept(s.body) + for i in range(len(s.handlers)): + with self.binder.frame_context(can_skip=True, fall_through=4): + typ = s.types[i] + if typ: + t = self.check_except_handler_test(typ, s.is_star) + var = s.vars[i] + if var: + # To support local variables, we make this a definition line, + # causing assignment to set the variable's type. + var.is_inferred_def = True + self.check_assignment(var, self.temp_node(t, var)) + self.accept(s.handlers[i]) + var = s.vars[i] + if var: + # Exception variables are deleted. + # Unfortunately, this doesn't let us detect usage before the + # try/except block. + source = var.name + if isinstance(var.node, Var): + new_type = DeletedType(source=source) + var.node.type = new_type + if self.options.allow_redefinition_new: + # TODO: Should we use put() here? + self.binder.assign_type(var, new_type, new_type) + if not self.options.allow_redefinition_new: + self.binder.cleanse(var) + if s.else_body: + self.accept(s.else_body) + + def check_except_handler_test(self, n: Expression, is_star: bool) -> Type: + """Type check an exception handler test clause.""" + typ = self.expr_checker.accept(n) + + all_types: list[Type] = [] + test_types = self.get_types_from_except_handler(typ, n) + + for ttype in get_proper_types(test_types): + if isinstance(ttype, AnyType): + all_types.append(ttype) + continue + if isinstance(ttype, UninhabitedType): + continue + + if isinstance(ttype, FunctionLike): + item = ttype.items[0] + if not item.is_type_obj(): + self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) + return self.default_exception_type(is_star) + exc_type = erase_typevars(item.ret_type) + elif isinstance(ttype, TypeType): + exc_type = ttype.item + else: + self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) + return self.default_exception_type(is_star) + + if not is_subtype(exc_type, self.named_type("builtins.BaseException")): + self.fail(message_registry.INVALID_EXCEPTION_TYPE, n) + return self.default_exception_type(is_star) + + all_types.append(exc_type) + + if is_star: + new_all_types: list[Type] = [] + for typ in all_types: + if is_proper_subtype(typ, self.named_type("builtins.BaseExceptionGroup")): + self.fail(message_registry.INVALID_EXCEPTION_GROUP, n) + new_all_types.append(AnyType(TypeOfAny.from_error)) + else: + new_all_types.append(typ) + return self.wrap_exception_group(new_all_types) + return make_simplified_union(all_types) + + def default_exception_type(self, is_star: bool) -> Type: + """Exception type to return in case of a previous type error.""" + any_type = AnyType(TypeOfAny.from_error) + if is_star: + return self.named_generic_type("builtins.ExceptionGroup", [any_type]) + return any_type + + def wrap_exception_group(self, types: Sequence[Type]) -> Type: + """Transform except* variable type into an appropriate exception group.""" + arg = make_simplified_union(types) + if is_subtype(arg, self.named_type("builtins.Exception")): + base = "builtins.ExceptionGroup" + else: + base = "builtins.BaseExceptionGroup" + return self.named_generic_type(base, [arg]) + + def get_types_from_except_handler(self, typ: Type, n: Expression) -> list[Type]: + """Helper for check_except_handler_test to retrieve handler types.""" + typ = get_proper_type(typ) + if isinstance(typ, TupleType): + merged_type = make_simplified_union(typ.items) + if isinstance(merged_type, UnionType): + return merged_type.relevant_items() + return [merged_type] + elif is_named_instance(typ, "builtins.tuple"): + # variadic tuple + merged_type = make_simplified_union((typ.args[0],)) + if isinstance(merged_type, UnionType): + return merged_type.relevant_items() + return [merged_type] + elif isinstance(typ, UnionType): + return [ + union_typ + for item in typ.relevant_items() + for union_typ in self.get_types_from_except_handler(item, n) + ] + else: + return [typ] + + def visit_for_stmt(self, s: ForStmt) -> None: + """Type check a for statement.""" + if s.is_async: + iterator_type, item_type = self.analyze_async_iterable_item_type(s.expr) + else: + iterator_type, item_type = self.analyze_iterable_item_type(s.expr) + s.inferred_item_type = item_type + s.inferred_iterator_type = iterator_type + + self.accept_loop( + s.body, + s.else_body, + on_enter_body=lambda: self.analyze_index_variables( + s.index, item_type, s.index_type is None, s + ), + ) + + def analyze_async_iterable_item_type(self, expr: Expression) -> tuple[Type, Type]: + """Analyse async iterable expression and return iterator and iterator item types.""" + echk = self.expr_checker + iterable = echk.accept(expr) + iterator = echk.check_method_call_by_name("__aiter__", iterable, [], [], expr)[0] + awaitable = echk.check_method_call_by_name("__anext__", iterator, [], [], expr)[0] + item_type = echk.check_awaitable_expr( + awaitable, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_FOR + ) + return iterator, item_type + + def analyze_iterable_item_type(self, expr: Expression) -> tuple[Type, Type]: + """Analyse iterable expression and return iterator and iterator item types.""" + iterator, iterable = self.analyze_iterable_item_type_without_expression( + self.expr_checker.accept(expr), context=expr + ) + int_type = self.analyze_range_native_int_type(expr) + if int_type: + return iterator, int_type + return iterator, iterable + + def analyze_iterable_item_type_without_expression( + self, type: Type, context: Context + ) -> tuple[Type, Type]: + """Analyse iterable type and return iterator and iterator item types.""" + echk = self.expr_checker + iterable: Type + iterable = get_proper_type(type) + iterator = echk.check_method_call_by_name("__iter__", iterable, [], [], context)[0] + + if ( + isinstance(iterable, TupleType) + and iterable.partial_fallback.type.fullname == "builtins.tuple" + ): + return iterator, tuple_fallback(iterable).args[0] + else: + # Non-tuple iterable. + iterable = echk.check_method_call_by_name("__next__", iterator, [], [], context)[0] + return iterator, iterable + + def analyze_range_native_int_type(self, expr: Expression) -> Type | None: + """Try to infer native int item type from arguments to range(...). + + For example, return i64 if the expression is "range(0, i64(n))". + + Return None if unsuccessful. + """ + if ( + isinstance(expr, CallExpr) + and isinstance(expr.callee, RefExpr) + and expr.callee.fullname == "builtins.range" + and 1 <= len(expr.args) <= 3 + and all(kind == ARG_POS for kind in expr.arg_kinds) + ): + native_int: Type | None = None + ok = True + for arg in expr.args: + argt = get_proper_type(self.lookup_type(arg)) + if isinstance(argt, Instance) and argt.type.fullname in MYPYC_NATIVE_INT_NAMES: + if native_int is None: + native_int = argt + elif argt != native_int: + ok = False + if ok and native_int: + return native_int + return None + + def analyze_container_item_type(self, typ: Type) -> Type | None: + """Check if a type is a nominal container of a union of such. + + Return the corresponding container item type. + """ + typ = get_proper_type(typ) + if isinstance(typ, UnionType): + types: list[Type] = [] + for item in typ.items: + c_type = self.analyze_container_item_type(item) + if c_type: + types.append(c_type) + return UnionType.make_union(types) + if isinstance(typ, Instance) and typ.type.has_base("typing.Container"): + supertype = self.named_type("typing.Container").type + super_instance = map_instance_to_supertype(typ, supertype) + assert len(super_instance.args) == 1 + return super_instance.args[0] + if isinstance(typ, TupleType): + return self.analyze_container_item_type(tuple_fallback(typ)) + return None + + def analyze_index_variables( + self, index: Expression, item_type: Type, infer_lvalue_type: bool, context: Context + ) -> None: + """Type check or infer for loop or list comprehension index vars.""" + self.check_assignment(index, self.temp_node(item_type, context), infer_lvalue_type) + + def visit_del_stmt(self, s: DelStmt) -> None: + if isinstance(s.expr, IndexExpr): + e = s.expr + m = MemberExpr(e.base, "__delitem__") + m.line = s.line + m.column = s.column + c = CallExpr(m, [e.index], [nodes.ARG_POS], [None]) + c.line = s.line + c.column = s.column + self.expr_checker.accept(c, allow_none_return=True) + else: + s.expr.accept(self.expr_checker) + for elt in flatten(s.expr): + if isinstance(elt, NameExpr): + self.binder.assign_type( + elt, DeletedType(source=elt.name), get_declaration(elt) + ) + + def visit_decorator(self, e: Decorator) -> None: + for d in e.decorators: + if isinstance(d, RefExpr): + if d.fullname == "typing.no_type_check": + e.var.type = AnyType(TypeOfAny.special_form) + e.var.is_ready = True + return + self.visit_decorator_inner(e) + + def visit_decorator_inner( + self, e: Decorator, allow_empty: bool = False, skip_first_item: bool = False + ) -> None: + if self.recurse_into_functions or e.func.def_or_infer_vars: + with self.tscope.function_scope(e.func), self.set_recurse_into_functions(): + self.check_func_item(e.func, name=e.func.name, allow_empty=allow_empty) + + # Process decorators from the inside out to determine decorated signature, which + # may be different from the declared signature. + sig: Type = self.function_type(e.func) + non_trivial_decorator = False + # For settable properties skip the first decorator (that is @foo.setter). + for d in reversed(e.decorators[1:] if skip_first_item else e.decorators): + if refers_to_fullname(d, "abc.abstractmethod"): + # This is a hack to avoid spurious errors because of incomplete type + # of @abstractmethod in the test fixtures. + continue + if refers_to_fullname(d, OVERLOAD_NAMES): + if not allow_empty: + self.fail(message_registry.MULTIPLE_OVERLOADS_REQUIRED, e) + continue + non_trivial_decorator = True + dec = self.expr_checker.accept(d) + temp = self.temp_node(sig, context=d) + fullname = None + if isinstance(d, RefExpr): + fullname = d.fullname or None + # if this is an expression like @b.a where b is an object, get the type of b, + # so we can pass it the method hook in the plugins + object_type: Type | None = None + if fullname is None and isinstance(d, MemberExpr) and self.has_type(d.expr): + object_type = self.lookup_type(d.expr) + fullname = self.expr_checker.method_fullname(object_type, d.name) + self.check_for_untyped_decorator(e.func, dec, d) + sig, t2 = self.expr_checker.check_call( + dec, [temp], [nodes.ARG_POS], e, callable_name=fullname, object_type=object_type + ) + if non_trivial_decorator: + self.check_untyped_after_decorator(sig, e.func) + self.require_correct_self_argument(sig, e.func) + sig = set_callable_name(sig, e.func) + if isinstance(sig, CallableType): + sig.definition = e + e.var.type = sig + e.var.is_ready = True + if e.func.is_property: + if isinstance(sig, CallableType): + if len([k for k in sig.arg_kinds if k.is_required()]) > 1: + self.msg.fail("Too many arguments for property", e) + self.check_incompatible_property_override(e) + # For overloaded functions/properties we already checked override for overload as a whole. + if allow_empty or skip_first_item: + return + if e.func.info and not e.is_overload: + found_method_base_classes = self.check_method_override(e) + if ( + e.func.is_explicit_override + and not found_method_base_classes + and found_method_base_classes is not None + # If the class has Any fallback, we can't be certain that a method + # is really missing - it might come from unfollowed import. + and not e.func.info.fallback_to_any + ): + self.msg.no_overridable_method(e.func.name, e.func) + self.check_explicit_override_decorator(e.func, found_method_base_classes) + + if e.func.info and e.func.name in ("__init__", "__new__"): + if e.type and not isinstance(get_proper_type(e.type), (FunctionLike, AnyType)): + self.fail(message_registry.BAD_CONSTRUCTOR_TYPE, e) + + if e.func.original_def and isinstance(sig, FunctionLike): + # Function definition overrides function definition. + self.check_func_def_override(e.func, sig) + + def check_for_untyped_decorator( + self, func: FuncDef, dec_type: Type, dec_expr: Expression + ) -> None: + if ( + self.options.disallow_untyped_decorators + and is_typed_callable(func.type) + and is_untyped_decorator(dec_type) + and not self.current_node_deferred + ): + self.msg.typed_function_untyped_decorator(func.name, dec_expr) + + def check_incompatible_property_override(self, e: Decorator) -> None: + if not e.var.is_settable_property and e.func.info: + name = e.func.name + for base in e.func.info.mro[1:]: + base_attr = base.names.get(name) + if not base_attr: + continue + if ( + isinstance(base_attr.node, OverloadedFuncDef) + and base_attr.node.is_property + and cast(Decorator, base_attr.node.items[0]).var.is_settable_property + ): + self.fail(message_registry.READ_ONLY_PROPERTY_OVERRIDES_READ_WRITE, e) + + def visit_with_stmt(self, s: WithStmt) -> None: + exceptions_maybe_suppressed = False + for expr, target in zip(s.expr, s.target): + if s.is_async: + exit_ret_type = self.check_async_with_item(expr, target, s.unanalyzed_type is None) + else: + exit_ret_type = self.check_with_item(expr, target, s.unanalyzed_type is None) + + # Based on the return type, determine if this context manager 'swallows' + # exceptions or not. We determine this using a heuristic based on the + # return type of the __exit__ method -- see the discussion in + # https://github.com/python/mypy/issues/7214 and the section about context managers + # in https://github.com/python/typeshed/blob/main/CONTRIBUTING.md#conventions + # for more details. + + exit_ret_type = get_proper_type(exit_ret_type) + if is_literal_type(exit_ret_type, "builtins.bool", False): + continue + + if is_literal_type(exit_ret_type, "builtins.bool", True) or ( + isinstance(exit_ret_type, Instance) + and exit_ret_type.type.fullname == "builtins.bool" + and state.strict_optional + ): + # Note: if strict-optional is disabled, this bool instance + # could actually be an Optional[bool]. + exceptions_maybe_suppressed = True + + if exceptions_maybe_suppressed: + # Treat this 'with' block in the same way we'd treat a 'try: BODY; except: pass' + # block. This means control flow can continue after the 'with' even if the 'with' + # block immediately returns. + with self.binder.frame_context(can_skip=True, try_frame=True): + self.accept(s.body) + else: + self.accept(s.body) + + def check_untyped_after_decorator(self, typ: Type, func: FuncDef) -> None: + if not self.options.disallow_any_decorated or self.is_stub or self.current_node_deferred: + return + + if mypy.checkexpr.has_any_type(typ): + self.msg.untyped_decorated_function(typ, func) + + def check_async_with_item( + self, expr: Expression, target: Expression | None, infer_lvalue_type: bool + ) -> Type: + echk = self.expr_checker + ctx = echk.accept(expr) + obj = echk.check_method_call_by_name("__aenter__", ctx, [], [], expr)[0] + obj = echk.check_awaitable_expr( + obj, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AENTER + ) + if target: + self.check_assignment(target, self.temp_node(obj, expr), infer_lvalue_type) + arg = self.temp_node(AnyType(TypeOfAny.special_form), expr) + res, _ = echk.check_method_call_by_name( + "__aexit__", ctx, [arg] * 3, [nodes.ARG_POS] * 3, expr + ) + return echk.check_awaitable_expr( + res, expr, message_registry.INCOMPATIBLE_TYPES_IN_ASYNC_WITH_AEXIT + ) + + def check_with_item( + self, expr: Expression, target: Expression | None, infer_lvalue_type: bool + ) -> Type: + echk = self.expr_checker + ctx = echk.accept(expr) + obj = echk.check_method_call_by_name("__enter__", ctx, [], [], expr)[0] + if target: + self.check_assignment(target, self.temp_node(obj, expr), infer_lvalue_type) + arg = self.temp_node(AnyType(TypeOfAny.special_form), expr) + res, _ = echk.check_method_call_by_name( + "__exit__", ctx, [arg] * 3, [nodes.ARG_POS] * 3, expr + ) + return res + + def visit_break_stmt(self, s: BreakStmt) -> None: + self.binder.handle_break() + + def visit_continue_stmt(self, s: ContinueStmt) -> None: + self.binder.handle_continue() + return + + def visit_match_stmt(self, s: MatchStmt) -> None: + # In sync with similar actions elsewhere, narrow the target if + # we are matching an AssignmentExpr + unwrapped_subject = collapse_walrus(s.subject) + named_subject = self._make_named_statement_for_match(s, unwrapped_subject) + with self.binder.frame_context(can_skip=False, fall_through=0): + subject_type = get_proper_type(self.expr_checker.accept(s.subject)) + + if isinstance(subject_type, DeletedType): + self.msg.deleted_as_rvalue(subject_type, s) + + # We infer types of patterns twice. The first pass is used + # to infer the types of capture variables. The type of a + # capture variable may depend on multiple patterns (it + # will be a union of all capture types). This pass ignores + # guard expressions. + pattern_types = [self.pattern_checker.accept(p, subject_type) for p in s.patterns] + type_maps: list[TypeMap] = [t.captures for t in pattern_types] + inferred_types = self.infer_variable_types_from_type_maps(type_maps) + + # The second pass narrows down the types and type checks bodies. + unmatched_types: TypeMap = {s.subject: UninhabitedType()} + for p, g, b in zip(s.patterns, s.guards, s.bodies): + current_subject_type = self.expr_checker.narrow_type_from_binder( + named_subject, subject_type + ) + pattern_type = self.pattern_checker.accept(p, current_subject_type) + with self.binder.frame_context(can_skip=True, fall_through=2): + pattern_map, else_map = conditional_types_to_typemaps( + named_subject, pattern_type.type, pattern_type.rest_type + ) + # Maybe the subject type can be inferred from constraints on + # its attribute/item? + if named_subject in pattern_map: + pattern_map[unwrapped_subject] = pattern_map[named_subject] + if named_subject in else_map: + else_map[unwrapped_subject] = else_map[named_subject] + pattern_map = self.propagate_up_typemap_info(pattern_map) + else_map = self.propagate_up_typemap_info(else_map) + self.remove_capture_conflicts(pattern_type.captures, inferred_types) + self.push_type_map(pattern_map, from_assignment=False) + if pattern_map: + for expr, typ in pattern_map.items(): + self.push_type_map( + self._get_recursive_sub_patterns_map(expr, typ), + from_assignment=False, + ) + self.push_type_map(pattern_type.captures, from_assignment=False) + if g is not None: + with self.binder.frame_context(can_skip=False, fall_through=3): + gt = get_proper_type(self.expr_checker.accept(g)) + + if isinstance(gt, DeletedType): + self.msg.deleted_as_rvalue(gt, s) + + guard_map, guard_else_map = self.find_isinstance_check(g) + else_map = or_conditional_maps(else_map, guard_else_map) + + # If the guard narrowed the subject, copy the narrowed types over + if isinstance(p, AsPattern): + case_target = p.pattern or p.name + if isinstance(case_target, NameExpr): + for type_map in (guard_map, else_map): + for expr in list(type_map): + if not ( + isinstance(expr, NameExpr) + and expr.fullname == case_target.fullname + ): + continue + type_map[named_subject] = type_map[expr] + + self.push_type_map(guard_map, from_assignment=False) + self.accept(b) + else: + self.accept(b) + self.push_type_map(else_map, from_assignment=False) + unmatched_types = else_map + + if not is_unreachable_map(unmatched_types) and not self.current_node_deferred: + for typ in unmatched_types.values(): + self.msg.match_statement_inexhaustive_match(typ, s) + + # This is needed due to a quirk in frame_context. Without it types will stay narrowed + # after the match. + with self.binder.frame_context(can_skip=False, fall_through=2): + pass + + def _make_named_statement_for_match(self, s: MatchStmt, subject: Expression) -> Expression: + """Construct a fake NameExpr for inference if a match clause is complex.""" + if self.binder.can_put_directly(subject): + # Already named - we should infer type of it as given + return subject + elif s.subject_dummy is not None: + return s.subject_dummy + else: + # Create a dummy subject expression to handle cases where a match statement's subject + # is not a literal value. This lets us correctly narrow types and check exhaustivity + # This is hack! + name = self.new_unique_dummy_name("match") + v = Var(name) + named_subject = NameExpr(name) + named_subject.node = v + s.subject_dummy = named_subject + return named_subject + + def _get_recursive_sub_patterns_map( + self, expr: Expression, typ: Type + ) -> dict[Expression, Type]: + sub_patterns_map: dict[Expression, Type] = {} + typ_ = get_proper_type(typ) + if isinstance(expr, TupleExpr) and isinstance(typ_, TupleType): + # When matching a tuple expression with a sequence pattern, narrow individual tuple items + assert len(expr.items) == len(typ_.items) + for item_expr, item_typ in zip(expr.items, typ_.items): + sub_patterns_map[item_expr] = item_typ + sub_patterns_map.update(self._get_recursive_sub_patterns_map(item_expr, item_typ)) + + return sub_patterns_map + + def infer_variable_types_from_type_maps( + self, type_maps: list[TypeMap] + ) -> dict[SymbolNode, Type]: + # Type maps may contain variables inherited from previous code which are not + # necessary `Var`s (e.g. a function defined earlier with the same name). + all_captures: dict[SymbolNode, list[tuple[NameExpr, Type]]] = defaultdict(list) + for tm in type_maps: + if not is_unreachable_map(tm): + for expr, typ in tm.items(): + if isinstance(expr, NameExpr): + node = expr.node + assert node is not None + all_captures[node].append((expr, typ)) + + inferred_types: dict[SymbolNode, Type] = {} + for var, captures in all_captures.items(): + already_exists = False + types: list[Type] = [] + for expr, typ in captures: + types.append(typ) + + previous_type, _, _ = self.check_lvalue(expr) + if previous_type is not None: + already_exists = True + if isinstance(expr.node, Var) and expr.node.is_final: + self.msg.cant_assign_to_final(expr.name, False, expr) + if self.check_subtype( + typ, + previous_type, + expr, + msg=message_registry.INCOMPATIBLE_TYPES_IN_CAPTURE, + subtype_label="pattern captures type", + supertype_label="variable has type", + ): + inferred_types[var] = previous_type + + if not already_exists: + new_type = UnionType.make_union(types) + # Infer the union type at the first occurrence + first_occurrence, _ = captures[0] + # If it didn't exist before ``match``, it's a Var. + assert isinstance(var, Var) + inferred_types[var] = new_type + self.infer_variable_type(var, first_occurrence, new_type, first_occurrence) + return inferred_types + + def remove_capture_conflicts( + self, type_map: TypeMap, inferred_types: dict[SymbolNode, Type] + ) -> None: + if not is_unreachable_map(type_map): + for expr, typ in list(type_map.items()): + if isinstance(expr, NameExpr): + node = expr.node + if node not in inferred_types or not is_subtype(typ, inferred_types[node]): + del type_map[expr] + + def visit_type_alias_stmt(self, o: TypeAliasStmt) -> None: + if o.alias_node: + self.check_typevar_defaults(o.alias_node.alias_tvars) + + with self.msg.filter_errors(): + self.expr_checker.accept(o.value) + + def make_fake_typeinfo( + self, + curr_module_fullname: str, + class_gen_name: str, + class_short_name: str, + bases: list[Instance], + ) -> tuple[ClassDef, TypeInfo]: + # Build the fake ClassDef and TypeInfo together. + # The ClassDef is full of lies and doesn't actually contain a body. + # Use format_bare to generate a nice name for error messages. + # We skip fully filling out a handful of TypeInfo fields because they + # should be irrelevant for a generated type like this: + # is_protocol, protocol_members, is_abstract + cdef = ClassDef(class_short_name, Block([])) + cdef.fullname = curr_module_fullname + "." + class_gen_name + info = TypeInfo(SymbolTable(), cdef, curr_module_fullname) + cdef.info = info + info.bases = bases + calculate_mro(info) + info.metaclass_type = info.calculate_metaclass_type() + return cdef, info + + def intersect_instances( + self, instances: tuple[Instance, Instance], errors: list[tuple[str, str]] + ) -> Instance | None: + """Try creating an ad-hoc intersection of the given instances. + + Note that this function does *not* try and create a full-fledged + intersection type. Instead, it returns an instance of a new ad-hoc + subclass of the given instances. + + This is mainly useful when you need a way of representing some + theoretical subclass of the instances the user may be trying to use + the generated intersection can serve as a placeholder. + + This function will create a fresh subclass the first time you call it. + So this means calling `self.intersect_intersection([inst_1, inst_2], ctx)` + twice will return the same subclass of inst_1 and inst_2. + + Returns None if creating the subclass is impossible (e.g. due to + MRO errors or incompatible signatures). If we do successfully create + a subclass, its TypeInfo will automatically be added to the global scope. + """ + curr_module = self.scope.stack[0] + assert isinstance(curr_module, MypyFile) + + # First, retry narrowing while allowing promotions (they are disabled by default + # for isinstance() checks, etc). This way we will still type-check branches like + # x: complex = 1 + # if isinstance(x, int): + # ... + left, right = instances + if is_proper_subtype(left, right, ignore_promotions=False): + return left + if is_proper_subtype(right, left, ignore_promotions=False): + return right + + def _get_base_classes(instances_: tuple[Instance, Instance]) -> list[Instance]: + base_classes_ = [] + for inst in instances_: + if inst.type.is_intersection: + expanded = inst.type.bases + else: + expanded = [inst] + + for expanded_inst in expanded: + base_classes_.append(expanded_inst) + return base_classes_ + + def _make_fake_typeinfo_and_full_name( + base_classes_: list[Instance], curr_module_: MypyFile, options: Options + ) -> tuple[TypeInfo, str]: + names = [format_type_bare(x, options=options, verbosity=2) for x in base_classes_] + name = f"" + if (symbol := curr_module_.names.get(name)) is not None: + assert isinstance(symbol.node, TypeInfo) + return symbol.node, name + cdef, info_ = self.make_fake_typeinfo(curr_module_.fullname, name, name, base_classes_) + return info_, name + + base_classes = _get_base_classes(instances) + # We use the pretty_names_list for error messages but for the real name that goes + # into the symbol table because it is not specific enough. + pretty_names_list = pretty_seq( + format_type_distinctly(*base_classes, options=self.options, bare=True), "and" + ) + + if not can_have_shared_disjoint_base(base_classes): + errors.append((pretty_names_list, "have distinct disjoint bases")) + return None + + new_errors = [] + for base in base_classes: + if base.type.is_final: + new_errors.append((pretty_names_list, f'"{base.type.name}" is final')) + if new_errors: + errors.extend(new_errors) + return None + + try: + info, full_name = _make_fake_typeinfo_and_full_name( + base_classes, curr_module, self.options + ) + with self.msg.filter_errors() as local_errors: + self.check_multiple_inheritance(info) + if local_errors.has_new_errors(): + # "class A(B, C)" unsafe, now check "class A(C, B)": + base_classes = _get_base_classes(instances[::-1]) + info, full_name = _make_fake_typeinfo_and_full_name( + base_classes, curr_module, self.options + ) + with self.msg.filter_errors() as local_errors: + self.check_multiple_inheritance(info) + info.is_intersection = True + except MroError: + errors.append((pretty_names_list, "would have inconsistent method resolution order")) + return None + if local_errors.has_new_errors(): + errors.append((pretty_names_list, "would have incompatible method signatures")) + return None + + curr_module.names[full_name] = SymbolTableNode(GDEF, info, False, module_hidden=True) + return Instance(info, [], extra_attrs=instances[0].extra_attrs or instances[1].extra_attrs) + + def intersect_instance_callable(self, typ: Instance, callable_type: CallableType) -> Instance: + """Creates a fake type that represents the intersection of an Instance and a CallableType. + + It operates by creating a bare-minimum dummy TypeInfo that + subclasses type and adds a __call__ method matching callable_type. + """ + + # In order for this to work in incremental mode, the type we generate needs to + # have a valid fullname and a corresponding entry in a symbol table. We generate + # a unique name inside the symbol table of the current module. + cur_module = self.scope.stack[0] + assert isinstance(cur_module, MypyFile) + gen_name = gen_unique_name(f"", cur_module.names) + + # Synthesize a fake TypeInfo + short_name = format_type_bare(typ, self.options) + cdef, info = self.make_fake_typeinfo(cur_module.fullname, gen_name, short_name, [typ]) + + # Build up a fake FuncDef so we can populate the symbol table. + func_def = FuncDef("__call__", [], Block([]), callable_type) + func_def._fullname = cdef.fullname + ".__call__" + func_def.info = info + info.names["__call__"] = SymbolTableNode(MDEF, func_def) + + cur_module.names[gen_name] = SymbolTableNode(GDEF, info) + + return Instance(info, [], extra_attrs=typ.extra_attrs) + + def make_fake_callable(self, typ: Instance) -> Instance: + """Produce a new type that makes type Callable with a generic callable type.""" + + fallback = self.named_type("builtins.function") + callable_type = CallableType( + [AnyType(TypeOfAny.explicit), AnyType(TypeOfAny.explicit)], + [nodes.ARG_STAR, nodes.ARG_STAR2], + [None, None], + ret_type=AnyType(TypeOfAny.explicit), + fallback=fallback, + is_ellipsis_args=True, + ) + + return self.intersect_instance_callable(typ, callable_type) + + def partition_by_callable( + self, typ: Type, unsound_partition: bool + ) -> tuple[list[Type], list[Type]]: + """Partitions a type into callable subtypes and uncallable subtypes. + + Thus, given: + `callables, uncallables = partition_by_callable(type)` + + If we assert `callable(type)` then `type` has type Union[*callables], and + If we assert `not callable(type)` then `type` has type Union[*uncallables] + + If unsound_partition is set, assume that anything that is not + clearly callable is in fact not callable. Otherwise we generate a + new subtype that *is* callable. + + Guaranteed to not return [], []. + """ + typ = get_proper_type(typ) + + if isinstance(typ, (FunctionLike, TypeType)): + return [typ], [] + + if isinstance(typ, AnyType): + return [typ], [typ] + + if isinstance(typ, NoneType): + return [], [typ] + + if isinstance(typ, UnionType): + callables = [] + uncallables: list[Type] = [] + for subtype in typ.items: + # Use unsound_partition when handling unions in order to + # allow the expected type discrimination. + subcallables, subuncallables = self.partition_by_callable( + subtype, unsound_partition=True + ) + callables.extend(subcallables) + uncallables.extend(subuncallables) + return callables, uncallables + + if isinstance(typ, TypeVarType): + # We could do better probably? + # Refine the type variable's bound as our type in the case that + # callable() is true. This unfortunately loses the information that + # the type is a type variable in that branch. + # This matches what is done for isinstance, but it may be possible to + # do better. + # If it is possible for the false branch to execute, return the original + # type to avoid losing type information. + callables, uncallables = self.partition_by_callable( + erase_to_union_or_bound(typ), unsound_partition + ) + uncallables = [typ] if uncallables else [] + return callables, uncallables + + # A TupleType is callable if its fallback is, but needs special handling + # when we dummy up a new type. + ityp = typ + if isinstance(typ, TupleType): + ityp = tuple_fallback(typ) + + if isinstance(ityp, Instance): + method = ityp.type.get_method("__call__") + if method and method.type: + callables, uncallables = self.partition_by_callable( + method.type, unsound_partition=False + ) + if callables and not uncallables: + # Only consider the type callable if its __call__ method is + # definitely callable. + return [typ], [] + + if not unsound_partition: + fake = self.make_fake_callable(ityp) + if isinstance(typ, TupleType): + fake.type.tuple_type = TupleType(typ.items, fake) + return [fake.type.tuple_type], [typ] + return [fake], [typ] + + if unsound_partition: + return [], [typ] + else: + # We don't know how properly make the type callable. + return [typ], [typ] + + def conditional_callable_type_map( + self, expr: Expression, current_type: Type | None + ) -> tuple[TypeMap, TypeMap]: + """Takes in an expression and the current type of the expression. + + Returns a 2-tuple: The first element is a map from the expression to + the restricted type if it were callable. The second element is a + map from the expression to the type it would hold if it weren't + callable. + """ + if not current_type: + return {}, {} + + if isinstance(get_proper_type(current_type), AnyType): + return {}, {} + + callables, uncallables = self.partition_by_callable(current_type, unsound_partition=False) + + if callables and uncallables: + callable_map = {expr: UnionType.make_union(callables)} + uncallable_map = {expr: UnionType.make_union(uncallables)} + return callable_map, uncallable_map + + elif callables: + return {}, {expr: UninhabitedType()} + + return {expr: UninhabitedType()}, {} + + def conditional_types_for_iterable( + self, item_type: Type, iterable_type: Type + ) -> tuple[Type, Type]: + """ + Narrows the type of `iterable_type` based on the type of `item_type`. + For now, we only support narrowing unions of TypedDicts based on left operand being literal string(s). + """ + if_types: list[Type] = [] + else_types: list[Type] = [] + + iterable_type = get_proper_type(iterable_type) + if isinstance(iterable_type, UnionType): + possible_iterable_types = get_proper_types(iterable_type.relevant_items()) + else: + possible_iterable_types = [iterable_type] + + item_str_literals = try_getting_str_literals_from_type(item_type) + + for possible_iterable_type in possible_iterable_types: + if item_str_literals and isinstance(possible_iterable_type, TypedDictType): + for key in item_str_literals: + if key in possible_iterable_type.required_keys: + if_types.append(possible_iterable_type) + elif ( + key in possible_iterable_type.items or not possible_iterable_type.is_final + ): + if_types.append(possible_iterable_type) + else_types.append(possible_iterable_type) + else: + else_types.append(possible_iterable_type) + else: + if_types.append(possible_iterable_type) + else_types.append(possible_iterable_type) + + return UnionType.make_union(if_types), UnionType.make_union(else_types) + + def _is_truthy_type(self, t: ProperType) -> bool: + return ( + ( + isinstance(t, Instance) + and bool(t.type) + and not t.type.has_readable_member("__bool__") + and not t.type.has_readable_member("__len__") + and t.type.fullname != "builtins.object" + ) + or isinstance(t, FunctionLike) + or ( + isinstance(t, UnionType) + and all(self._is_truthy_type(t) for t in get_proper_types(t.items)) + ) + ) + + def check_for_truthy_type(self, t: Type, expr: Expression) -> None: + """ + Check if a type can have a truthy value. + + Used in checks like:: + + if x: # <--- + + not x # <--- + """ + if not state.strict_optional: + return # if everything can be None, all bets are off + + t = get_proper_type(t) + if not self._is_truthy_type(t): + return + + def format_expr_type() -> str: + typ = format_type(t, self.options) + if isinstance(expr, MemberExpr): + return f'Member "{expr.name}" has type {typ}' + elif isinstance(expr, RefExpr) and expr.fullname: + return f'"{expr.fullname}" has type {typ}' + elif isinstance(expr, CallExpr): + if isinstance(expr.callee, MemberExpr): + return f'"{expr.callee.name}" returns {typ}' + elif isinstance(expr.callee, RefExpr) and expr.callee.fullname: + return f'"{expr.callee.fullname}" returns {typ}' + return f"Call returns {typ}" + else: + return f"Expression has type {typ}" + + def get_expr_name() -> str: + if isinstance(expr, (NameExpr, MemberExpr)): + return f'"{expr.name}"' + else: + # return type if expr has no name + return format_type(t, self.options) + + if isinstance(t, FunctionLike): + self.fail(message_registry.FUNCTION_ALWAYS_TRUE.format(get_expr_name()), expr) + elif isinstance(t, UnionType): + self.fail(message_registry.TYPE_ALWAYS_TRUE_UNIONTYPE.format(format_expr_type()), expr) + elif isinstance(t, Instance) and t.type.fullname == "typing.Iterable": + _, info = self.make_fake_typeinfo("typing", "Collection", "Collection", []) + self.fail( + message_registry.ITERABLE_ALWAYS_TRUE.format( + format_expr_type(), format_type(Instance(info, t.args), self.options) + ), + expr, + ) + else: + self.fail(message_registry.TYPE_ALWAYS_TRUE.format(format_expr_type()), expr) + + def find_isinstance_check( + self, node: Expression, *, in_boolean_context: bool = True + ) -> tuple[TypeMap, TypeMap]: + """Find any isinstance checks (within a chain of ands). Includes + implicit and explicit checks for None and calls to callable. + Also includes TypeGuard and TypeIs functions. + + Return value is a map of variables to their types if the condition + is true and a map of variables to their types if the condition is false. + + If either of the values in the tuple is None, then that particular + branch can never occur. + + If `in_boolean_context=True` is passed, it means that we handle + a walrus expression. We treat rhs values + in expressions like `(a := A())` specially: + for example, some errors are suppressed. + + May return {}, {}. + Can return None, None in situations involving NoReturn. + """ + if_map, else_map = self.find_isinstance_check_helper( + node, in_boolean_context=in_boolean_context + ) + new_if_map = self.propagate_up_typemap_info(if_map) + new_else_map = self.propagate_up_typemap_info(else_map) + return new_if_map, new_else_map + + def find_isinstance_check_helper( + self, node: Expression, *, in_boolean_context: bool = True + ) -> tuple[TypeMap, TypeMap]: + if is_true_literal(node): + return {}, {node: UninhabitedType()} + if is_false_literal(node): + return {node: UninhabitedType()}, {} + + if isinstance(node, CallExpr) and len(node.args) != 0: + expr = collapse_walrus(node.args[0]) + if refers_to_fullname(node.callee, "builtins.isinstance"): + if len(node.args) != 2: # the error will be reported elsewhere + return {}, {} + if literal(expr) == LITERAL_TYPE: + return conditional_types_to_typemaps( + expr, + *self.conditional_types_with_intersection( + self.lookup_type(expr), self.get_isinstance_type(node.args[1]), expr + ), + ) + elif refers_to_fullname(node.callee, "builtins.issubclass"): + if len(node.args) != 2: # the error will be reported elsewhere + return {}, {} + if literal(expr) == LITERAL_TYPE: + return self.infer_issubclass_maps(node, expr) + elif refers_to_fullname(node.callee, "builtins.callable"): + if len(node.args) != 1: # the error will be reported elsewhere + return {}, {} + if literal(expr) == LITERAL_TYPE: + vartype = self.lookup_type(expr) + return self.conditional_callable_type_map(expr, vartype) + elif refers_to_fullname(node.callee, "builtins.hasattr"): + if len(node.args) != 2: # the error will be reported elsewhere + return {}, {} + attr = try_getting_str_literals(node.args[1], self.lookup_type(node.args[1])) + if literal(expr) == LITERAL_TYPE and attr and len(attr) == 1: + return self.hasattr_type_maps(expr, self.lookup_type(expr), attr[0]) + else: + type_is, type_guard = None, None + called_type = self.lookup_type_or_none(node.callee) + if called_type is not None: + called_type = get_proper_type(called_type) + # TODO: there are some more cases in check_call() to handle. + # If the callee is an instance, try to extract TypeGuard/TypeIs from its __call__ method. + if isinstance(called_type, Instance): + call = find_member("__call__", called_type, called_type, is_operator=True) + if call is not None: + called_type = get_proper_type(call) + if isinstance(called_type, CallableType): + type_is, type_guard = called_type.type_is, called_type.type_guard + + # If the callee is a RefExpr, extract TypeGuard/TypeIs directly. + if isinstance(node.callee, RefExpr): + type_is, type_guard = node.callee.type_is, node.callee.type_guard + if type_guard is not None or type_is is not None: + # TODO: Follow *args, **kwargs + if node.arg_kinds[0] != nodes.ARG_POS: + # *assuming* the overloaded function is correct, there's a couple cases: + # 1) The first argument has different names, but is pos-only. We don't + # care about this case, the argument must be passed positionally. + # 2) The first argument allows keyword reference, therefore must be the + # same between overloads. + if isinstance(called_type, (CallableType, Overloaded)): + name = called_type.items[0].arg_names[0] + if name in node.arg_names: + idx = node.arg_names.index(name) + # we want the idx-th variable to be narrowed + expr = collapse_walrus(node.args[idx]) + else: + kind = "guard" if type_guard is not None else "narrower" + self.fail( + message_registry.TYPE_GUARD_POS_ARG_REQUIRED.format(kind), node + ) + return {}, {} + if literal(expr) == LITERAL_TYPE: + # Note: we wrap the target type, so that we can special case later. + # Namely, for isinstance() we use a normal meet, while TypeGuard is + # considered "always right" (i.e. even if the types are not overlapping). + # Also note that a care must be taken to unwrap this back at read places + # where we use this to narrow down declared type. + if type_guard is not None: + return {expr: TypeGuardedType(type_guard)}, {} + else: + assert type_is is not None + return conditional_types_to_typemaps( + expr, + *self.conditional_types_with_intersection( + self.lookup_type(expr), + [TypeRange(type_is, is_upper_bound=False)], + expr, + consider_runtime_isinstance=False, + ), + ) + elif isinstance(node, ComparisonExpr): + return self.comparison_type_narrowing_helper(node) + elif isinstance(node, AssignmentExpr): + if_map: TypeMap + else_map: TypeMap + if_map = {} + else_map = {} + + if_assignment_map, else_assignment_map = self.find_isinstance_check(node.target) + if_map.update(if_assignment_map) + else_map.update(else_assignment_map) + + if_condition_map, else_condition_map = self.find_isinstance_check( + node.value, in_boolean_context=False + ) + + if_map.update(if_condition_map) + else_map.update(else_condition_map) + + return if_map, else_map + elif isinstance(node, OpExpr) and node.op == "and": + left_if_vars, left_else_vars = self.find_isinstance_check(node.left) + right_if_vars, right_else_vars = self.find_isinstance_check(node.right) + + # (e1 and e2) is true if both e1 and e2 are true, + # and false if at least one of e1 and e2 is false. + return ( + and_conditional_maps(left_if_vars, right_if_vars), + # Note that if left else type is Any, we can't add any additional + # types to it, since the right maps were computed assuming + # the left is True, which may be not the case in the else branch. + or_conditional_maps(left_else_vars, right_else_vars, coalesce_any=True), + ) + elif isinstance(node, OpExpr) and node.op == "or": + left_if_vars, left_else_vars = self.find_isinstance_check(node.left) + right_if_vars, right_else_vars = self.find_isinstance_check(node.right) + + # (e1 or e2) is true if at least one of e1 or e2 is true, + # and false if both e1 and e2 are false. + return ( + or_conditional_maps(left_if_vars, right_if_vars), + and_conditional_maps(left_else_vars, right_else_vars), + ) + elif isinstance(node, UnaryExpr) and node.op == "not": + left, right = self.find_isinstance_check(node.expr) + return right, left + elif ( + literal(node) == LITERAL_TYPE + and self.has_type(node) + and self.can_be_narrowed_with_len(self.lookup_type(node)) + # Only translate `if x` to `if len(x) > 0` when possible. + and not custom_special_method(self.lookup_type(node), "__bool__") + and self.options.strict_optional + ): + # Combine a `len(x) > 0` check with the default logic below. + yes_type, no_type = self.narrow_with_len(self.lookup_type(node), ">", 0) + if_map = {node: true_only(yes_type)} + else_map = {node: false_only(no_type)} + return if_map, else_map + + # Restrict the type of the variable to True-ish/False-ish in the if and else branches + # respectively + original_vartype = self.lookup_type(node) + if in_boolean_context: + # We don't check `:=` values in expressions like `(a := A())`, + # because they produce two error messages. + self.check_for_truthy_type(original_vartype, node) + vartype = try_expanding_sum_type_to_union(original_vartype, "builtins.bool") + + if_map = {node: true_only(vartype)} + else_map = {node: false_only(vartype)} + return if_map, else_map + + def comparison_type_narrowing_helper(self, node: ComparisonExpr) -> tuple[TypeMap, TypeMap]: + """Infer type narrowing from a comparison expression.""" + # Step 1: Obtain the types of each operand and whether or not we can + # narrow their types. (For example, we shouldn't try narrowing the + # types of literal string or enum expressions). + + operands = [collapse_walrus(x) for x in node.operands] + operand_types = [] + narrowable_operand_index_to_hash = {} + for i, expr in enumerate(operands): + if not self.has_type(expr): + return {}, {} + expr_type = self.lookup_type(expr) + operand_types.append(expr_type) + + if ( + literal(expr) == LITERAL_TYPE + and not is_literal_none(expr) + and not is_literal_not_implemented(expr) + and not is_false_literal(expr) + and not is_true_literal(expr) + and not self.is_literal_enum(expr) + # CallableType type objects are usually already maximally specific + and not ( + isinstance(p_expr := get_proper_type(expr_type), FunctionLike) + and p_expr.is_type_obj() + ) + # This is a little ad hoc, in the absence of intersection types + and not (isinstance(p_expr, TypeType) and isinstance(p_expr.item, TypeVarType)) + ): + h = literal_hash(expr) + if h is not None: + narrowable_operand_index_to_hash[i] = h + + # Step 2: Group operands chained by either the 'is' or '==' operands + # together. For all other operands, we keep them in groups of size 2. + # So the expression: + # + # x0 == x1 == x2 < x3 < x4 is x5 is x6 is not x7 is not x8 + # + # ...is converted into the simplified operator list: + # + # [("==", [0, 1, 2]), ("<", [2, 3]), ("<", [3, 4]), + # ("is", [4, 5, 6]), ("is not", [6, 7]), ("is not", [7, 8])] + # + # We group identity/equality expressions so we can propagate information + # we discover about one operand across the entire chain. We don't bother + # handling 'is not' and '!=' chains in a special way: those are very rare + # in practice. + + simplified_operator_list = group_comparison_operands( + node.pairwise(), narrowable_operand_index_to_hash, {"==", "is"} + ) + + # Step 3: Analyze each group and infer more precise type maps for each + # assignable operand, if possible. We combine these type maps together + # in the final step. + + partial_type_maps = [] + for operator, expr_indices in simplified_operator_list: + if_map: TypeMap + else_map: TypeMap + + if operator in {"is", "is not", "==", "!="}: + if_map, else_map = self.narrow_type_by_identity_equality( + operator, + operands, + operand_types, + expr_indices, + narrowable_indices=narrowable_operand_index_to_hash.keys(), + ) + elif operator in {"in", "not in"}: + assert len(expr_indices) == 2 + left_index, right_index = expr_indices + item_type = operand_types[left_index] + iterable_type = operand_types[right_index] + + if_map = {} + else_map = {} + + if left_index in narrowable_operand_index_to_hash: + collection_item_type = get_proper_type(builtin_item_type(iterable_type)) + if collection_item_type is not None: + if_map, else_map = self.narrow_type_by_identity_equality( + "==", + operands=[operands[left_index], operands[right_index]], + operand_types=[item_type, collection_item_type], + expr_indices=[0, 1], + narrowable_indices={0}, + ) + + # TODO: This remove_optional code should no longer be needed. The only + # thing it does is paper over a pre-existing deficiency in equality + # narrowing w.r.t to enums. + # We only try and narrow away 'None' for now + if ( + not is_unreachable_map(if_map) + and is_overlapping_none(item_type) + and not is_overlapping_none(collection_item_type) + and not ( + isinstance(collection_item_type, Instance) + and collection_item_type.type.fullname == "builtins.object" + ) + and is_overlapping_erased_types(item_type, collection_item_type) + ): + if_map[operands[left_index]] = remove_optional(item_type) + + if right_index in narrowable_operand_index_to_hash: + if_type, else_type = self.conditional_types_for_iterable( + item_type, iterable_type + ) + expr = operands[right_index] + if_map[expr] = if_type + else_map[expr] = else_type + + else: + if_map = {} + else_map = {} + + if operator in {"is not", "!=", "not in"}: + if_map, else_map = else_map, if_map + + partial_type_maps.append((if_map, else_map)) + + # If we have found non-trivial restrictions from the regular comparisons, + # then return soon. Otherwise try to infer restrictions involving `len(x)`. + # TODO: support regular and len() narrowing in the same chain. + if any(len(m[0]) or len(m[1]) for m in partial_type_maps): + return reduce_conditional_maps(partial_type_maps, use_meet=True) + else: + # Use meet for `and` maps to get correct results for chained checks + # like `if 1 < len(x) < 4: ...` + return reduce_conditional_maps(self.find_tuple_len_narrowing(node), use_meet=True) + + def narrow_type_by_identity_equality( + self, + operator: str, + operands: list[Expression], + operand_types: list[Type], + expr_indices: list[int], + narrowable_indices: AbstractSet[int], + ) -> tuple[TypeMap, TypeMap]: + """ + Calculate type maps for '==', '!=', 'is' or 'is not' expression, ignoring `type(x)` checks. + + The 'operands' and 'operand_types' lists should be the full list of operands used + in the overall comparison expression. The 'chain_indices' list is the list of indices + actually used within this identity comparison chain. + + So if we have the expression: + + a <= b is c is d <= e + + ...then 'operands' and 'operand_types' would be lists of length 5 and 'chain_indices' + would be the list [1, 2, 3]. + + The 'narrowable_indices' parameter is the set of all indices we are allowed + to refine the types of: that is, all operands that will potentially be a part of + the output TypeMaps. + + """ + # is_target_for_value_narrowing: + # If the operator returns True when compared to this target, do we narrow in else branch? + # E.g. if operator is "==", then: + # - is_target_for_value_narrowing(str) == False + # - is_target_for_value_narrowing(Literal["asdf"]) == True + is_target_for_value_narrowing: Callable[[ProperType], bool] + + # should_coerce_literals: + # Ideally, we should always attempt to have this set to True. Unfortunately, for now, + # performing this coercion can sometimes result in overly aggressive narrowing when taking + # in the context of other type checker behaviour. + should_coerce_literals: bool + + # custom_eq_indices: + # Operands at these indices define a custom `__eq__`. These can do arbitrary things, so we + # have to be more careful about what narrowing we can conclude from a successful comparison + custom_eq_indices: set[int] + + # enum_comparison_is_ambiguous: + # `if x is Fruits.APPLE` we know `x` is `Fruits.APPLE`, but `if x == Fruits.APPLE: ...` + # it could e.g. be an int or str if Fruits is an IntEnum or StrEnum. + # See ambiguous_enum_equality_keys for more details + enum_comparison_is_ambiguous: bool + + if operator in {"is", "is not"}: + is_target_for_value_narrowing = is_singleton_identity_type + should_coerce_literals = True + custom_eq_indices = set() + enum_comparison_is_ambiguous = False + + elif operator in {"==", "!="}: + is_target_for_value_narrowing = is_singleton_equality_type + + should_coerce_literals = False + for i in expr_indices: + typ = get_proper_type(operand_types[i]) + if is_literal_type_like(typ) or (isinstance(typ, Instance) and typ.type.is_enum): + should_coerce_literals = True + break + + custom_eq_indices = {i for i in expr_indices if has_custom_eq_checks(operand_types[i])} + enum_comparison_is_ambiguous = True + else: + raise AssertionError + + all_if_maps: list[TypeMap] = [] + all_else_maps: list[TypeMap] = [] + + # For each narrowable index, we see what we can narrow based on each relevant target + for i in expr_indices: + if i not in narrowable_indices: + continue + if i in custom_eq_indices: + # Handled later + continue + + expr_type = operand_types[i] + expr_enum_keys = ambiguous_enum_equality_keys(expr_type) + expr_type = try_expanding_sum_type_to_union(coerce_to_literal(expr_type), None) + for j in expr_indices: + if i == j: + continue + if j in custom_eq_indices: + # We can't use types with custom __eq__ as targets for narrowing + # E.g. if (x: int | None) == (y: CustomEq | None), we cannot narrow x to None + continue + target_type = operand_types[j] + if should_coerce_literals: + target_type = coerce_to_literal(target_type) + + if ( + # See comments in ambiguous_enum_equality_keys + enum_comparison_is_ambiguous + and len(expr_enum_keys | ambiguous_enum_equality_keys(target_type)) > 1 + ): + continue + + target = TypeRange(target_type, is_upper_bound=False) + + if_map, else_map = conditional_types_to_typemaps( + operands[i], *conditional_types(expr_type, [target], from_equality=True) + ) + if is_target_for_value_narrowing(get_proper_type(target_type)): + all_if_maps.append(if_map) + all_else_maps.append(else_map) + else: + # For value targets, it is safe to narrow in the negative case. + # e.g. if (x: Literal[5] | None) != (y: Literal[5]), we can narrow x to None + # However, for non-value targets, we cannot do this narrowing, + # and so we ignore else_map + # e.g. if (x: str | None) != (y: str), we cannot narrow x to None + + # It is correct to always narrow here. It improves behaviour on tests and + # detects many inaccurate type annotations on primer. + # However, because mypy does not currently check unreachable code, it feels + # risky to narrow to unreachable without --warn-unreachable or not + # at module level + # See also this specific primer comment, where I force primer to run with + # --warn-unreachable to see what code we would stop checking: + # https://github.com/python/mypy/pull/20660#issuecomment-3865794148 + if ( + self.options.warn_unreachable and len(self.scope.stack) != 1 + ) or not is_unreachable_map(if_map): + all_if_maps.append(if_map) + + # Handle narrowing for operands with custom __eq__ methods specially + # In most cases, we won't be able to do any narrowing + for i in custom_eq_indices: + if i not in narrowable_indices: + continue + union_expr_type = get_proper_type(operand_types[i]) + if not isinstance(union_expr_type, UnionType): + # Here we won't be able to do any positive narrowing, because we can't conclude + # anything from a custom __eq__ returning True. + # But we might be able to do some negative narrowing, since we can assume + # a custom __eq__ is reflexive. This should only apply to custom __eq__ enums, + # see testNarrowingEqualityCustomEqualityEnum + expr_type = operand_types[i] + for j in expr_indices: + if j in custom_eq_indices: + continue + target_type = operand_types[j] + if should_coerce_literals: + target_type = coerce_to_literal(target_type) + target = TypeRange(target_type, is_upper_bound=False) + if is_target_for_value_narrowing(get_proper_type(target_type)): + if_map, else_map = conditional_types_to_typemaps( + operands[i], + *conditional_types(expr_type, [target], from_equality=True), + ) + all_else_maps.append(else_map) + continue + + # If our operand with custom __eq__ is a union, where only some members of the union + # implement custom __eq__, then we can narrow down the other members as usual. + # This is basically the same logic as the main narrowing loop above. + or_if_maps: list[TypeMap] = [] + or_else_maps: list[TypeMap] = [] + for expr_type in union_expr_type.items: + if has_custom_eq_checks(expr_type): + # Always include the union items with custom __eq__ in the type + # we narrow to in the if_map + or_if_maps.append({operands[i]: expr_type}) + + expr_type = coerce_to_literal(try_expanding_sum_type_to_union(expr_type, None)) + for j in expr_indices: + if j in custom_eq_indices: + if i == j: + continue + # If we compare to a target with custom __eq__, we cannot narrow at all + if is_overlapping_none(expr_type) and not is_overlapping_none( + operand_types[j] + ): + # Narrow away from None. This is unsound, we're hoping that no one + # has a custom __eq__ that returns True for None. + or_if_maps.append({operands[i]: remove_optional(expr_type)}) + else: + or_if_maps.append({operands[i]: expr_type}) + continue + target_type = operand_types[j] + if should_coerce_literals: + target_type = coerce_to_literal(target_type) + target = TypeRange(target_type, is_upper_bound=False) + + if_map, else_map = conditional_types_to_typemaps( + operands[i], + *conditional_types( + expr_type, [target], default=expr_type, from_equality=True + ), + ) + or_if_maps.append(if_map) + if is_target_for_value_narrowing(get_proper_type(target_type)): + or_else_maps.append(else_map) + + all_if_maps.append(reduce_or_conditional_type_maps(or_if_maps)) + all_else_maps.append(reduce_or_conditional_type_maps(or_else_maps)) + + # Handle narrowing for comparisons that produce additional narrowing, like + # `type(x) == T` or `x.__class__ is T` + for i in expr_indices: + type_expr = operands[i] + if ( + isinstance(type_expr, CallExpr) + and refers_to_fullname(type_expr.callee, "builtins.type") + and len(type_expr.args) == 1 + ): + expr_in_type_expr = type_expr.args[0] + elif isinstance(type_expr, MemberExpr) and type_expr.name == "__class__": + expr_in_type_expr = type_expr.expr + else: + continue + + p_expr_type = get_proper_type(operand_types[i]) + if isinstance(p_expr_type, TypeType) and isinstance(p_expr_type.item, TypeVarType): + # This mirrors logic in comparison_type_narrowing_helper + # In theory, this is like `i not in narrowable_indices`, except that + # narrowable_indices filters all type(x) narrowing as it's a call + continue + + for j in expr_indices: + if i == j: + continue + expr = operands[j] + + current_type_range = self.get_type_range_of_type(operand_types[j]) + if current_type_range is None: + continue + if isinstance(get_proper_type(current_type_range.item), AnyType): + # Avoid widening to Any for checks like `type(x) is type(y: Any)`. + # We patch this here because it is desirable to widen to any for cases like + # isinstance(x, (y: Any)) + continue + + arg_type = self.lookup_type(expr_in_type_expr) + if_type, else_type = self.conditional_types_with_intersection( + arg_type, [current_type_range], expr_in_type_expr + ) + if if_type is not None and ( + not current_type_range.is_upper_bound + and not is_equivalent(if_type, current_type_range.item) + ): + # type(x) and x.__class__ checks must exact match + if_type = UninhabitedType() + + if_map, else_map = conditional_types_to_typemaps( + expr_in_type_expr, if_type, else_type + ) + + is_final = ( + expr.node.is_final + if isinstance(expr, RefExpr) and isinstance(expr.node, TypeInfo) + else False + ) + all_if_maps.append(if_map) + if is_final: + # We can only narrow `type(x) == T` in the negative case if T is final + all_else_maps.append(else_map) + + # We will not have duplicate entries in our type maps if we only have two operands, + # so we can skip running meets on the intersections + if_map = reduce_and_conditional_type_maps(all_if_maps, use_meet=len(operands) > 2) + else_map = reduce_or_conditional_type_maps(all_else_maps) + return if_map, else_map + + def propagate_up_typemap_info(self, new_types: TypeMap) -> TypeMap: + """Attempts refining parent expressions of any MemberExpr or IndexExprs in new_types. + + This function iterates through new_types and attempts to use the information to try + refining any parent types that happen to be unions. + + For example, suppose there are two types "A = Tuple[int, int]" and "B = Tuple[str, str]". + Next, suppose that 'new_types' specifies the expression 'foo[0]' has a refined type + of 'int' and that 'foo' was previously deduced to be of type Union[A, B]. + + Then, this function will observe that since A[0] is an int and B[0] is not, the type of + 'foo' can be further refined from Union[A, B] into just B. + + We perform this kind of "parent narrowing" for member lookup expressions and indexing + expressions into tuples, namedtuples, and typeddicts. We repeat this narrowing + recursively if the parent is also a "lookup expression". So for example, if we have + the expression "foo['bar'].baz[0]", we'd potentially end up refining types for the + expressions "foo", "foo['bar']", and "foo['bar'].baz". + + We return the newly refined map. This map is guaranteed to be a superset of 'new_types'. + """ + all_mappings = [new_types] + for expr, expr_type in new_types.items(): + all_mappings.append(self.refine_parent_types(expr, expr_type)) + return reduce_and_conditional_type_maps(all_mappings, use_meet=True) + + def refine_parent_types(self, expr: Expression, expr_type: Type) -> TypeMap: + """Checks if the given expr is a 'lookup operation' into a union and iteratively refines + the parent types based on the 'expr_type'. + + For example, if 'expr' is an expression like 'a.b.c.d', we'll potentially return refined + types for expressions 'a', 'a.b', and 'a.b.c'. + + For more details about what a 'lookup operation' is and how we use the expr_type to refine + the parent types of lookup_expr, see the docstring in 'propagate_up_typemap_info'. + """ + output: dict[Expression, Type] = {} + + # Note: parent_expr and parent_type are progressively refined as we crawl up the + # parent lookup chain. + while True: + # First, check if this expression is one that's attempting to + # "lookup" some key in the parent type. If so, save the parent type + # and create function that will try replaying the same lookup + # operation against arbitrary types. + if isinstance(expr, MemberExpr): + parent_expr = self._propagate_walrus_assignments(expr.expr, output) + parent_type = self.lookup_type_or_none(parent_expr) + member_name = expr.name + + def replay_lookup(new_parent_type: ProperType) -> Type | None: + with self.msg.filter_errors() as w: + member_type = analyze_member_access( + name=member_name, + typ=new_parent_type, + context=parent_expr, + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=new_parent_type, + chk=self, + in_literal_context=False, + ) + if w.has_new_errors(): + return None + else: + return member_type + + elif isinstance(expr, IndexExpr): + parent_expr = self._propagate_walrus_assignments(expr.base, output) + parent_type = self.lookup_type_or_none(parent_expr) + + self._propagate_walrus_assignments(expr.index, output) + index_type = self.lookup_type_or_none(expr.index) + if index_type is None: + return output + + str_literals = try_getting_str_literals_from_type(index_type) + if str_literals is not None: + # Refactoring these two indexing replay functions is surprisingly + # tricky -- see https://github.com/python/mypy/pull/7917, which + # was blocked by https://github.com/mypyc/mypyc/issues/586 + def replay_lookup(new_parent_type: ProperType) -> Type | None: + if not isinstance(new_parent_type, TypedDictType): + return None + try: + assert str_literals is not None + member_types = [new_parent_type.items[key] for key in str_literals] + except KeyError: + return None + return make_simplified_union(member_types) + + else: + int_literals = try_getting_int_literals_from_type(index_type) + if int_literals is not None: + + def replay_lookup(new_parent_type: ProperType) -> Type | None: + if not isinstance(new_parent_type, TupleType): + return None + try: + assert int_literals is not None + member_types = [new_parent_type.items[key] for key in int_literals] + except IndexError: + return None + return make_simplified_union(member_types) + + else: + return output + else: + return output + + # If we somehow didn't previously derive the parent type, abort completely + # with what we have so far: something went wrong at an earlier stage. + if parent_type is None: + return output + + # We currently only try refining the parent type if it's a Union. + # If not, there's no point in trying to refine any further parents + # since we have no further information we can use to refine the lookup + # chain, so we end early as an optimization. + parent_type = get_proper_type(parent_type) + if not isinstance(parent_type, UnionType): + return output + + # Take each element in the parent union and replay the original lookup procedure + # to figure out which parents are compatible. + new_parent_types = [] + for item in flatten_nested_unions(parent_type.items): + member_type = replay_lookup(get_proper_type(item)) + if member_type is None: + # We were unable to obtain the member type. So, we give up on refining this + # parent type entirely and abort. + return output + + if is_overlapping_types(member_type, expr_type): + new_parent_types.append(item) + + # If none of the parent types overlap (if we derived an empty union), something + # went wrong. We should never hit this case, but deriving the uninhabited type or + # reporting an error both seem unhelpful. So we abort. + if not new_parent_types: + return output + + expr = parent_expr + expr_type = output[parent_expr] = make_simplified_union(new_parent_types) + + def _propagate_walrus_assignments( + self, expr: Expression, type_map: dict[Expression, Type] + ) -> Expression: + """Add assignments from walrus expressions to inferred types. + + Only considers nested assignment exprs, does not recurse into other types. + This may be added later if necessary by implementing a dedicated visitor. + """ + if isinstance(expr, AssignmentExpr): + if isinstance(expr.value, AssignmentExpr): + self._propagate_walrus_assignments(expr.value, type_map) + assigned_type = self.lookup_type_or_none(expr.value) + parent_expr = collapse_walrus(expr) + if assigned_type is not None: + type_map[parent_expr] = assigned_type + return parent_expr + return expr + + def is_len_of_tuple(self, expr: Expression) -> bool: + """Is this expression a `len(x)` call where x is a tuple or union of tuples?""" + if not isinstance(expr, CallExpr): + return False + if not refers_to_fullname(expr.callee, "builtins.len"): + return False + if len(expr.args) != 1: + return False + expr = expr.args[0] + if literal(expr) != LITERAL_TYPE: + return False + if not self.has_type(expr): + return False + return self.can_be_narrowed_with_len(self.lookup_type(expr)) + + def can_be_narrowed_with_len(self, typ: Type) -> bool: + """Is this a type that can benefit from length check type restrictions? + + Currently supported types are TupleTypes, Instances of builtins.tuple, and + unions involving such types. + """ + if custom_special_method(typ, "__len__"): + # If user overrides builtin behavior, we can't do anything. + return False + p_typ = get_proper_type(typ) + # Note: we are conservative about tuple subclasses, because some code may rely on + # the fact that tuple_type of fallback TypeInfo matches the original TupleType. + if isinstance(p_typ, TupleType): + if any(isinstance(t, UnpackType) for t in p_typ.items): + return p_typ.partial_fallback.type.fullname == "builtins.tuple" + return True + if isinstance(p_typ, Instance): + return p_typ.type.has_base("builtins.tuple") + if isinstance(p_typ, UnionType): + return any(self.can_be_narrowed_with_len(t) for t in p_typ.items) + return False + + def literal_int_expr(self, expr: Expression) -> int | None: + """Is this expression an int literal, or a reference to an int constant? + + If yes, return the corresponding int value, otherwise return None. + """ + if not self.has_type(expr): + return None + expr_type = self.lookup_type(expr) + expr_type = coerce_to_literal(expr_type) + proper_type = get_proper_type(expr_type) + if not isinstance(proper_type, LiteralType): + return None + if not isinstance(proper_type.value, int): + return None + return proper_type.value + + def find_tuple_len_narrowing(self, node: ComparisonExpr) -> list[tuple[TypeMap, TypeMap]]: + """Top-level logic to find type restrictions from a length check on tuples. + + We try to detect `if` checks like the following: + x: tuple[int, int] | tuple[int, int, int] + y: tuple[int, int] | tuple[int, int, int] + if len(x) == len(y) == 2: + a, b = x # OK + c, d = y # OK + + z: tuple[int, ...] + if 1 < len(z) < 4: + x = z # OK + and report corresponding type restrictions to the binder. + """ + # First step: group consecutive `is` and `==` comparisons together. + # This is essentially a simplified version of group_comparison_operands(), + # tuned to the len()-like checks. Note that we don't propagate indirect + # restrictions like e.g. `len(x) > foo() > 1` yet, since it is tricky. + # TODO: propagate indirect len() comparison restrictions. + chained = [] + last_group = set() + for op, left, right in node.pairwise(): + if isinstance(left, AssignmentExpr): + left = left.value + if isinstance(right, AssignmentExpr): + right = right.value + if op in ("is", "=="): + last_group.add(left) + last_group.add(right) + else: + if last_group: + chained.append(("==", list(last_group))) + last_group = set() + if op in {"is not", "!=", "<", "<=", ">", ">="}: + chained.append((op, [left, right])) + if last_group: + chained.append(("==", list(last_group))) + + yes_map: TypeMap + no_map: TypeMap + + # Second step: infer type restrictions from each group found above. + type_maps = [] + for op, items in chained: + # TODO: support unions of literal types as len() comparison targets. + if not any(self.literal_int_expr(it) is not None for it in items): + continue + if not any(self.is_len_of_tuple(it) for it in items): + continue + + # At this step we know there is at least one len(x) and one literal in the group. + if op in ("is", "=="): + literal_values = set() + tuples = [] + for it in items: + lit = self.literal_int_expr(it) + if lit is not None: + literal_values.add(lit) + continue + if self.is_len_of_tuple(it): + assert isinstance(it, CallExpr) + tuples.append(it.args[0]) + if len(literal_values) > 1: + # More than one different literal value found, like 1 == len(x) == 2, + # so the corresponding branch is unreachable. + yes_map = {tpl: UninhabitedType() for tpl in tuples} + return [(yes_map, {})] + size = literal_values.pop() + if size > MAX_PRECISE_TUPLE_SIZE: + # Avoid creating huge tuples from checks like if len(x) == 300. + continue + for tpl in tuples: + yes_type, no_type = self.narrow_with_len(self.lookup_type(tpl), op, size) + yes_map = {tpl: yes_type} + no_map = {tpl: no_type} + type_maps.append((yes_map, no_map)) + else: + left, right = items + if self.is_len_of_tuple(right): + # Normalize `1 < len(x)` and similar as `len(x) > 1`. + left, right = right, left + op = flip_ops.get(op, op) + r_size = self.literal_int_expr(right) + assert r_size is not None + if r_size > MAX_PRECISE_TUPLE_SIZE: + # Avoid creating huge unions from checks like if len(x) > 300. + continue + assert isinstance(left, CallExpr) + yes_type, no_type = self.narrow_with_len( + self.lookup_type(left.args[0]), op, r_size + ) + yes_map = {left.args[0]: yes_type} + no_map = {left.args[0]: no_type} + type_maps.append((yes_map, no_map)) + return type_maps + + def narrow_with_len(self, typ: Type, op: str, size: int) -> tuple[Type, Type]: + """Dispatch tuple type narrowing logic depending on the kind of type we got.""" + typ = get_proper_type(typ) + if isinstance(typ, TupleType): + return self.refine_tuple_type_with_len(typ, op, size) + elif isinstance(typ, Instance): + return self.refine_instance_type_with_len(typ, op, size) + elif isinstance(typ, UnionType): + yes_types = [] + no_types = [] + other_types = [] + for t in typ.items: + if not self.can_be_narrowed_with_len(t): + other_types.append(t) + continue + yt, nt = self.narrow_with_len(t, op, size) + yes_types.append(yt) + no_types.append(nt) + yes_types += other_types + no_types += other_types + yes_type = make_simplified_union(yes_types) + no_type = make_simplified_union(no_types) + return yes_type, no_type + else: + assert False, "Unsupported type for len narrowing" + + def refine_tuple_type_with_len(self, typ: TupleType, op: str, size: int) -> tuple[Type, Type]: + """Narrow a TupleType using length restrictions.""" + unpack_index = find_unpack_in_list(typ.items) + if unpack_index is None: + # For fixed length tuple situation is trivial, it is either reachable or not, + # depending on the current length, expected length, and the comparison op. + method = int_op_to_method[op] + if method(typ.length(), size): + return typ, UninhabitedType() + return UninhabitedType(), typ + unpack = typ.items[unpack_index] + assert isinstance(unpack, UnpackType) + unpacked = get_proper_type(unpack.type) + if isinstance(unpacked, TypeVarTupleType): + # For tuples involving TypeVarTuple unpack we can't do much except + # inferring reachability, and recording the restrictions on TypeVarTuple + # for further "manual" use elsewhere. + min_len = typ.length() - 1 + unpacked.min_len + if op in ("==", "is"): + if min_len <= size: + return typ, typ + return UninhabitedType(), typ + elif op in ("<", "<="): + if op == "<=": + size += 1 + if min_len < size: + prefix = typ.items[:unpack_index] + suffix = typ.items[unpack_index + 1 :] + # TODO: also record max_len to avoid false negatives? + unpack = UnpackType(unpacked.copy_modified(min_len=size - typ.length() + 1)) + return typ, typ.copy_modified(items=prefix + [unpack] + suffix) + return UninhabitedType(), typ + else: + yes_type, no_type = self.refine_tuple_type_with_len(typ, neg_ops[op], size) + return no_type, yes_type + # Homogeneous variadic item is the case where we are most flexible. Essentially, + # we adjust the variadic item by "eating away" from it to satisfy the restriction. + assert isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" + min_len = typ.length() - 1 + arg = unpacked.args[0] + prefix = typ.items[:unpack_index] + suffix = typ.items[unpack_index + 1 :] + if op in ("==", "is"): + if min_len <= size: + # TODO: return fixed union + prefixed variadic tuple for no_type? + return typ.copy_modified(items=prefix + [arg] * (size - min_len) + suffix), typ + return UninhabitedType(), typ + elif op in ("<", "<="): + if op == "<=": + size += 1 + if min_len < size: + # Note: there is some ambiguity w.r.t. to where to put the additional + # items: before or after the unpack. However, such types are equivalent, + # so we always put them before for consistency. + no_type = typ.copy_modified( + items=prefix + [arg] * (size - min_len) + [unpack] + suffix + ) + yes_items = [] + for n in range(size - min_len): + yes_items.append(typ.copy_modified(items=prefix + [arg] * n + suffix)) + return UnionType.make_union(yes_items, typ.line, typ.column), no_type + return UninhabitedType(), typ + else: + yes_type, no_type = self.refine_tuple_type_with_len(typ, neg_ops[op], size) + return no_type, yes_type + + def refine_instance_type_with_len( + self, typ: Instance, op: str, size: int + ) -> tuple[Type, Type]: + """Narrow a homogeneous tuple using length restrictions.""" + base = map_instance_to_supertype(typ, self.lookup_typeinfo("builtins.tuple")) + arg = base.args[0] + # Again, we are conservative about subclasses until we gain more confidence. + allow_precise = ( + PRECISE_TUPLE_TYPES in self.options.enable_incomplete_feature + ) and typ.type.fullname == "builtins.tuple" + if op in ("==", "is"): + # TODO: return fixed union + prefixed variadic tuple for no_type? + return TupleType(items=[arg] * size, fallback=typ), typ + elif op in ("<", "<="): + if op == "<=": + size += 1 + if allow_precise: + unpack = UnpackType(self.named_generic_type("builtins.tuple", [arg])) + no_type: Type = TupleType(items=[arg] * size + [unpack], fallback=typ) + else: + no_type = typ + if allow_precise: + items = [] + for n in range(size): + items.append(TupleType([arg] * n, fallback=typ)) + yes_type: Type = UnionType.make_union(items, typ.line, typ.column) + else: + yes_type = typ + return yes_type, no_type + else: + yes_type, no_type = self.refine_instance_type_with_len(typ, neg_ops[op], size) + return no_type, yes_type + + # + # Helpers + # + @overload + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: str, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + code: ErrorCode | None = None, + outer_context: Context | None = None, + ) -> bool: ... + + @overload + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: ErrorMessage, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + outer_context: Context | None = None, + ) -> bool: ... + + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: str | ErrorMessage, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + code: ErrorCode | None = None, + outer_context: Context | None = None, + ) -> bool: + """Generate an error if the subtype is not compatible with supertype.""" + if is_subtype(subtype, supertype, options=self.options): + return True + + if isinstance(msg, str): + msg = ErrorMessage(msg, code=code) + + if self.msg.prefer_simple_messages(): + self.fail(msg, context) # Fast path -- skip all fancy logic + return False + + orig_subtype = subtype + subtype = get_proper_type(subtype) + orig_supertype = supertype + supertype = get_proper_type(supertype) + if self.msg.try_report_long_tuple_assignment_error( + subtype, supertype, context, msg, subtype_label, supertype_label + ): + return False + extra_info: list[str] = [] + note_msg = "" + notes = notes or [] + if subtype_label is not None or supertype_label is not None: + subtype_str, supertype_str = format_type_distinctly( + orig_subtype, orig_supertype, options=self.options + ) + if subtype_label is not None: + extra_info.append(subtype_label + " " + subtype_str) + if supertype_label is not None: + extra_info.append(supertype_label + " " + supertype_str) + note_msg = make_inferred_type_note( + outer_context or context, subtype, supertype, supertype_str + ) + if isinstance(subtype, Instance) and isinstance(supertype, Instance): + notes = append_invariance_notes(notes, subtype, supertype) + if isinstance(subtype, UnionType) and isinstance(supertype, UnionType): + notes = append_union_note(notes, subtype, supertype, self.options) + if extra_info: + msg = msg.with_additional_msg(" (" + ", ".join(extra_info) + ")") + + error = self.fail(msg, context) + for note in notes: + self.msg.note(note, context, code=msg.code) + if note_msg: + self.note(note_msg, context, code=msg.code) + self.msg.maybe_note_concatenate_pos_args(subtype, supertype, context, code=msg.code) + if ( + isinstance(supertype, Instance) + and supertype.type.is_protocol + and isinstance(subtype, (CallableType, Instance, TupleType, TypedDictType, TypeType)) + ): + self.msg.report_protocol_problems(subtype, supertype, context, parent_error=error) + if isinstance(supertype, CallableType) and isinstance(subtype, Instance): + call = find_member("__call__", subtype, subtype, is_operator=True) + if call: + self.msg.note_call(subtype, call, context, code=msg.code) + if isinstance(subtype, (CallableType, Overloaded)) and isinstance(supertype, Instance): + if supertype.type.is_protocol and "__call__" in supertype.type.protocol_members: + call = find_member("__call__", supertype, subtype, is_operator=True) + assert call is not None + if not is_subtype(subtype, call, options=self.options): + self.msg.note_call(supertype, call, context, code=msg.code) + self.check_possible_missing_await(subtype, supertype, context, code=msg.code) + return False + + def get_precise_awaitable_type(self, typ: Type, local_errors: ErrorWatcher) -> Type | None: + """If type implements Awaitable[X] with non-Any X, return X. + + In all other cases return None. This method must be called in context + of local_errors. + """ + if isinstance(get_proper_type(typ), PartialType): + # Partial types are special, ignore them here. + return None + try: + aw_type = self.expr_checker.check_awaitable_expr( + typ, Context(), "", ignore_binder=True + ) + except KeyError: + # This is a hack to speed up tests by not including Awaitable in all typing stubs. + return None + if local_errors.has_new_errors(): + return None + if isinstance(get_proper_type(aw_type), (AnyType, UnboundType)): + return None + return aw_type + + @contextmanager + def checking_await_set(self) -> Iterator[None]: + self.checking_missing_await = True + try: + yield + finally: + self.checking_missing_await = False + + def check_possible_missing_await( + self, subtype: Type, supertype: Type, context: Context, code: ErrorCode | None + ) -> None: + """Check if the given type becomes a subtype when awaited.""" + if self.checking_missing_await: + # Avoid infinite recursion. + return + with self.checking_await_set(), self.msg.filter_errors() as local_errors: + aw_type = self.get_precise_awaitable_type(subtype, local_errors) + if aw_type is None: + return + if not self.check_subtype( + aw_type, supertype, context, msg=message_registry.INCOMPATIBLE_TYPES + ): + return + self.msg.possible_missing_await(context, code) + + def named_type(self, name: str) -> Instance: + """Return an instance type with given name and implicit Any type args. + + For example, named_type('builtins.object') produces the 'object' type. + """ + if name == "builtins.str": + if instance_cache.str_type is None: + instance_cache.str_type = self._named_type(name) + return instance_cache.str_type + if name == "builtins.function": + if instance_cache.function_type is None: + instance_cache.function_type = self._named_type(name) + return instance_cache.function_type + if name == "builtins.int": + if instance_cache.int_type is None: + instance_cache.int_type = self._named_type(name) + return instance_cache.int_type + if name == "builtins.bool": + if instance_cache.bool_type is None: + instance_cache.bool_type = self._named_type(name) + return instance_cache.bool_type + if name == "builtins.object": + if instance_cache.object_type is None: + instance_cache.object_type = self._named_type(name) + return instance_cache.object_type + return self._named_type(name) + + def _named_type(self, name: str) -> Instance: + # Assume that the name refers to a type. + sym = self.lookup_qualified(name) + node = sym.node + if isinstance(node, TypeAlias): + assert isinstance(node.target, Instance) # type: ignore[misc] + node = node.target.type + assert isinstance(node, TypeInfo), node + any_type = AnyType(TypeOfAny.from_omitted_generics) + return Instance(node, [any_type] * len(node.defn.type_vars)) + + def named_generic_type(self, name: str, args: list[Type]) -> Instance: + """Return an instance with the given name and type arguments. + + Assume that the number of arguments is correct. Assume that + the name refers to a compatible generic type. + """ + info = self.lookup_typeinfo(name) + args = [remove_instance_last_known_values(arg) for arg in args] + # TODO: assert len(args) == len(info.defn.type_vars) + return Instance(info, args) + + def lookup_typeinfo(self, fullname: str) -> TypeInfo: + # Assume that the name refers to a class. + sym = self.lookup_qualified(fullname) + node = sym.node + assert isinstance(node, TypeInfo), node + return node + + def type_type(self) -> Instance: + """Return instance type 'type'.""" + return self.named_type("builtins.type") + + def str_type(self) -> Instance: + """Return instance type 'str'.""" + return self.named_type("builtins.str") + + def store_type(self, node: Expression, typ: Type) -> None: + """Store the type of a node in the type map.""" + self._type_maps[-1][node] = typ + + def has_type(self, node: Expression) -> bool: + return any(node in m for m in reversed(self._type_maps)) + + def lookup_type_or_none(self, node: Expression) -> Type | None: + for m in reversed(self._type_maps): + if node in m: + return m[node] + return None + + def lookup_type(self, node: Expression) -> Type: + for m in reversed(self._type_maps): + t = m.get(node) + if t is not None: + return t + raise KeyError(node) + + def store_types(self, d: dict[Expression, Type]) -> None: + self._type_maps[-1].update(d) + + def in_checked_function(self) -> bool: + """Should we type-check the current function? + + - Yes if --check-untyped-defs is set. + - Yes outside functions. + - Yes in annotated functions. + - No otherwise. + """ + return ( + self.options.check_untyped_defs or not self.dynamic_funcs or not self.dynamic_funcs[-1] + ) + + def lookup(self, name: str) -> SymbolTableNode: + """Look up a definition from the symbol table with the given name.""" + if name in self.globals: + return self.globals[name] + else: + b = self.globals.get("__builtins__", None) + if b: + assert isinstance(b.node, MypyFile) + table = b.node.names + if name in table: + return table[name] + raise KeyError(f"Failed lookup: {name}") + + def lookup_qualified(self, name: str) -> SymbolTableNode: + if "." not in name: + return self.lookup(name) + else: + parts = name.split(".") + n = self.modules[parts[0]] + for i in range(1, len(parts) - 1): + sym = n.names.get(parts[i]) + assert sym is not None, "Internal error: attempted lookup of unknown name" + assert isinstance(sym.node, MypyFile) + n = sym.node + last = parts[-1] + if last in n.names: + return n.names[last] + elif len(parts) == 2 and parts[0] in ("builtins", "typing"): + fullname = ".".join(parts) + if fullname in SUGGESTED_TEST_FIXTURES: + suggestion = ", e.g. add '[{} fixtures/{}]' to your test".format( + parts[0], SUGGESTED_TEST_FIXTURES[fullname] + ) + else: + suggestion = "" + raise KeyError( + "Could not find builtin symbol '{}' (If you are running a " + "test case, use a fixture that " + "defines this symbol{})".format(last, suggestion) + ) + else: + msg = "Failed qualified lookup: '{}' (fullname = '{}')." + raise KeyError(msg.format(last, name)) + + @contextmanager + def enter_partial_types( + self, *, is_function: bool = False, is_class: bool = False + ) -> Iterator[None]: + """Enter a new scope for collecting partial types. + + Also report errors for (some) variables which still have partial + types, i.e. we couldn't infer a complete type. + """ + is_local = (self.partial_types and self.partial_types[-1].is_local) or is_function + self.partial_types.append(PartialTypeScope({}, is_function, is_local)) + yield + + # Don't complain about not being able to infer partials if it is + # at the toplevel (with allow_untyped_globals) or if it is in an + # untyped function being checked with check_untyped_defs. + permissive = (self.options.allow_untyped_globals and not is_local) or ( + self.options.check_untyped_defs and self.dynamic_funcs and self.dynamic_funcs[-1] + ) + + partial_types, _, _ = self.partial_types.pop() + if not self.current_node_deferred: + for var, context in partial_types.items(): + if isinstance(var.type, PartialType) and var.type.type is None and not permissive: + var.type = NoneType() + else: + if var not in self.partial_reported and not permissive: + self.msg.need_annotation_for_var(var, context, self.options) + self.partial_reported.add(var) + if var.type: + fixed = fixup_partial_type(var.type) + var.invalid_partial_type = fixed != var.type + var.type = fixed + + def handle_partial_var_type( + self, typ: PartialType, is_lvalue: bool, node: Var, context: Context + ) -> Type: + """Handle a reference to a partial type through a var. + + (Used by checkexpr and checkmember.) + """ + in_scope, is_local, partial_types = self.find_partial_types_in_all_scopes(node) + if typ.type is None and in_scope: + # 'None' partial type. It has a well-defined type. In an lvalue context + # we want to preserve the knowledge of it being a partial type. + if not is_lvalue: + return NoneType() + else: + return typ + else: + if partial_types is not None and not self.current_node_deferred: + if in_scope: + context = partial_types[node] + if is_local or not self.options.allow_untyped_globals: + self.msg.need_annotation_for_var(node, context, self.options) + self.partial_reported.add(node) + else: + # Defer the node -- we might get a better type in the outer scope + self.handle_cannot_determine_type(node.name, context) + return fixup_partial_type(typ) + + def is_defined_in_base_class(self, var: Var) -> bool: + if not var.info: + return False + return var.info.fallback_to_any or any( + base.get(var.name) is not None for base in var.info.mro[1:] + ) + + def find_partial_types(self, var: Var) -> dict[Var, Context] | None: + """Look for an active partial type scope containing variable. + + A scope is active if assignments in the current context can refine a partial + type originally defined in the scope. This is affected by the local_partial_types + configuration option. + """ + in_scope, _, partial_types = self.find_partial_types_in_all_scopes(var) + if in_scope: + return partial_types + return None + + def find_partial_types_in_all_scopes( + self, var: Var + ) -> tuple[bool, bool, dict[Var, Context] | None]: + """Look for partial type scope containing variable. + + Return tuple (is the scope active, is the scope a local scope, scope). + """ + for scope in reversed(self.partial_types): + if var in scope.map: + # All scopes within the outermost function are active. Scopes out of + # the outermost function are inactive to allow local reasoning (important + # for fine-grained incremental mode). + disallow_other_scopes = self.options.local_partial_types + + # There are two exceptions: + if isinstance(var.type, PartialType) and var.type.type is not None and var.info: + # We always prohibit non-None partial types at class scope + # for historical reasons. + disallow_other_scopes = True + if isinstance(var.type, PartialType) and var.type.type is None: + # We always allow None partial types, since this is a common use case. + # It is special-cased in fine-grained incremental mode. + disallow_other_scopes = False + + scope_active = ( + not disallow_other_scopes or scope.is_local == self.partial_types[-1].is_local + ) + return scope_active, scope.is_local, scope.map + return False, False, None + + def temp_node(self, t: Type, context: Context | None = None) -> TempNode: + """Create a temporary node with the given, fixed type.""" + return TempNode(t, context=context) + + def fail( + self, msg: str | ErrorMessage, context: Context, *, code: ErrorCode | None = None + ) -> ErrorInfo: + """Produce an error message.""" + if isinstance(msg, ErrorMessage): + return self.msg.fail(msg.value, context, code=msg.code) + return self.msg.fail(msg, context, code=code) + + def note( + self, + msg: str | ErrorMessage, + context: Context, + offset: int = 0, + *, + code: ErrorCode | None = None, + ) -> None: + """Produce a note.""" + if isinstance(msg, ErrorMessage): + self.msg.note(msg.value, context, code=msg.code) + return + self.msg.note(msg, context, offset=offset, code=code) + + def iterable_item_type(self, it: ProperType, context: Context) -> Type: + if isinstance(it, Instance): + iterable = map_instance_to_supertype(it, self.lookup_typeinfo("typing.Iterable")) + item_type = iterable.args[0] + if not isinstance(get_proper_type(item_type), AnyType): + # This relies on 'map_instance_to_supertype' returning 'Iterable[Any]' + # in case there is no explicit base class. + return item_type + # Try also structural typing. + return self.analyze_iterable_item_type_without_expression(it, context)[1] + + def function_type(self, func: FuncBase) -> FunctionLike: + return function_type(func, self.named_type("builtins.function")) + + def push_type_map(self, type_map: TypeMap, *, from_assignment: bool = True) -> None: + if is_unreachable_map(type_map): + self.binder.unreachable() + else: + for expr, type in type_map.items(): + self.binder.put(expr, type, from_assignment=from_assignment) + + def infer_issubclass_maps(self, node: CallExpr, expr: Expression) -> tuple[TypeMap, TypeMap]: + """Infer type restrictions for an expression in issubclass call.""" + vartype = self.lookup_type(expr) + type = self.get_isinstance_type(node.args[1]) + if isinstance(vartype, TypeVarType): + vartype = vartype.upper_bound + vartype = get_proper_type(vartype) + if isinstance(vartype, UnionType): + union_list = [] + for t in get_proper_types(vartype.items): + if isinstance(t, TypeType): + union_list.append(t.item) + else: + # This is an error that should be reported earlier + # if we reach here, we refuse to do any type inference. + return {}, {} + vartype = UnionType(union_list) + elif isinstance(vartype, TypeType): + vartype = vartype.item + elif isinstance(vartype, Instance) and vartype.type.is_metaclass(): + vartype = self.named_type("builtins.object") + else: + # Any other object whose type we don't know precisely + # for example, Any or a custom metaclass. + return {}, {} # unknown type + yes_type, no_type = self.conditional_types_with_intersection(vartype, type, expr) + yes_map, no_map = conditional_types_to_typemaps(expr, yes_type, no_type) + yes_map, no_map = map(convert_to_typetype, (yes_map, no_map)) + return yes_map, no_map + + @overload + def conditional_types_with_intersection( + self, + expr_type: Type, + type_ranges: list[TypeRange] | None, + ctx: Context, + default: None = None, + *, + consider_runtime_isinstance: bool = True, + ) -> tuple[Type | None, Type | None]: ... + + @overload + def conditional_types_with_intersection( + self, + expr_type: Type, + type_ranges: list[TypeRange] | None, + ctx: Context, + default: Type, + *, + consider_runtime_isinstance: bool = True, + ) -> tuple[Type, Type]: ... + + def conditional_types_with_intersection( + self, + expr_type: Type, + type_ranges: list[TypeRange] | None, + ctx: Context, + default: Type | None = None, + *, + consider_runtime_isinstance: bool = True, + ) -> tuple[Type | None, Type | None]: + initial_types = conditional_types( + expr_type, + type_ranges, + default, + consider_runtime_isinstance=consider_runtime_isinstance, + ) + # For some reason, doing "yes_map, no_map = conditional_types_to_typemaps(...)" + # doesn't work: mypyc will decide that 'yes_map' is of type None if we try. + yes_type: Type | None = initial_types[0] + no_type: Type | None = initial_types[1] + + if not isinstance(get_proper_type(yes_type), UninhabitedType) or type_ranges is None: + return yes_type, no_type + + # If conditional_types was unable to successfully narrow the expr_type + # using the type_ranges and concluded if-branch is unreachable, we try + # computing it again using a different algorithm that tries to generate + # an ad-hoc intersection between the expr_type and the type_ranges. + proper_type = get_proper_type(expr_type) + if isinstance(proper_type, UnionType): + possible_expr_types = get_proper_types(proper_type.relevant_items()) + else: + possible_expr_types = [proper_type] + + possible_target_types = [] + for tr in type_ranges: + item = get_proper_type(tr.item) + if isinstance(item, (Instance, NoneType)): + possible_target_types.append(item) + if not possible_target_types: + return yes_type, no_type + + out = [] + errors: list[tuple[str, str]] = [] + for v in possible_expr_types: + if not isinstance(v, Instance): + return yes_type, no_type + for t in possible_target_types: + if isinstance(t, NoneType): + errors.append((f'"{v.type.name}" and "NoneType"', '"NoneType" is final')) + continue + intersection = self.intersect_instances((v, t), errors) + if intersection is None: + continue + out.append(intersection) + if not out: + # Only report errors if no element in the union worked. + if self.should_report_unreachable_issues(): + for types, reason in errors: + self.msg.impossible_intersection(types, reason, ctx) + return UninhabitedType(), expr_type + new_yes_type = make_simplified_union(out) + return new_yes_type, expr_type + + def is_writable_attribute(self, node: Node) -> bool: + """Check if an attribute is writable""" + if isinstance(node, Var): + if node.is_property and not node.is_settable_property: + return False + return True + elif isinstance(node, OverloadedFuncDef) and node.is_property: + first_item = node.items[0] + assert isinstance(first_item, Decorator) + return first_item.var.is_settable_property + return False + + def get_isinstance_type( + self, expr: Expression, flatten_tuples: bool = True + ) -> list[TypeRange] | None: + """Get the type(s) resulting from an isinstance check. + + Returns an empty list for isinstance(x, ()). + """ + if isinstance(expr, OpExpr) and expr.op == "|": + left: list[TypeRange] | None + right: list[TypeRange] | None + if is_literal_none(expr.left): + left = [TypeRange(NoneType(), is_upper_bound=False)] + else: + left = self.get_isinstance_type(expr.left, flatten_tuples=False) + if is_literal_none(expr.right): + right = [TypeRange(NoneType(), is_upper_bound=False)] + else: + right = self.get_isinstance_type(expr.right, flatten_tuples=False) + if left is None or right is None: + return None + return left + right + + if flatten_tuples: + type_ranges = [] + for typ in flatten_types_if_tuple(self.lookup_type(expr)): + type_range = self.get_type_range_of_type(typ) + if type_range is None: + return None + type_ranges.append(type_range) + return type_ranges + + else: + type_range = self.get_type_range_of_type(self.lookup_type(expr)) + if type_range is None: + return None + return [type_range] + + def get_type_range_of_type(self, typ: Type) -> TypeRange | None: + typ = get_proper_type(typ) + if isinstance(typ, TypeVarType): + typ = get_proper_type(typ.upper_bound) + + if isinstance(typ, UnionType): + type_ranges = [self.get_type_range_of_type(item) for item in typ.items] + item = make_simplified_union([t.item for t in type_ranges if t is not None]) + return TypeRange(item, is_upper_bound=True) + if isinstance(typ, FunctionLike) and typ.is_type_obj(): + # If a type is generic, `isinstance` can only narrow its variables to Any. + any_parameterized = fill_typevars_with_any(typ.type_object()) + # Tuples may have unattended type variables among their items + if isinstance(any_parameterized, TupleType): + erased_type = erase_typevars(any_parameterized) + else: + erased_type = any_parameterized + return TypeRange(erased_type, is_upper_bound=False) + if isinstance(typ, TypeType): + # Type[A] means "any type that is a subtype of A" rather than "precisely type A" + # we indicate this by setting is_upper_bound flag + is_upper_bound = True + if isinstance(typ.item, NoneType): + # except for Type[None], because "'NoneType' is not an acceptable base type" + is_upper_bound = False + if isinstance(typ.item, Instance) and typ.item.type.is_final: + is_upper_bound = False + return TypeRange(typ.item, is_upper_bound=is_upper_bound) + if isinstance(typ, AnyType): + return TypeRange(typ, is_upper_bound=False) + if isinstance(typ, Instance) and typ.type.fullname == "builtins.type": + object_type = Instance(typ.type.mro[-1], []) + return TypeRange(object_type, is_upper_bound=True) + if isinstance(typ, Instance) and typ.type.fullname == "types.UnionType" and typ.args: + return TypeRange(UnionType(typ.args), is_upper_bound=False) + if isinstance(typ, Instance) and typ.type.fullname == "typing._SpecialForm": + # This is probably an alias to a Union object. We don't have the args here so we can't + # conclude anything + return None + if not is_subtype(self.named_type("builtins.type"), typ): + # We saw something, but it couldn't possibly be valid + return TypeRange(UninhabitedType(), is_upper_bound=False) + + # This is e.g. a variable of type object, so we can't conclude anything + return None + + def is_literal_enum(self, n: Expression) -> bool: + """Returns true if this expression (with the given type context) is an Enum literal. + + For example, if we had an enum: + + class Foo(Enum): + A = 1 + B = 2 + + ...and if the expression 'Foo' referred to that enum within the current type context, + then the expression 'Foo.A' would be a literal enum. However, if we did 'a = Foo.A', + then the variable 'a' would *not* be a literal enum. + + We occasionally special-case expressions like 'Foo.A' and treat them as a single primitive + unit for the same reasons we sometimes treat 'True', 'False', or 'None' as a single + primitive unit. + """ + if not isinstance(n, MemberExpr) or not isinstance(n.expr, NameExpr): + return False + + parent_type = self.lookup_type_or_none(n.expr) + member_type = self.lookup_type_or_none(n) + if member_type is None or parent_type is None: + return False + + parent_type = get_proper_type(parent_type) + member_type = get_proper_type(coerce_to_literal(member_type)) + if not isinstance(parent_type, FunctionLike) or not isinstance(member_type, LiteralType): + return False + + if not parent_type.is_type_obj(): + return False + + return ( + member_type.is_enum_literal() + and member_type.fallback.type == parent_type.type_object() + ) + + def add_any_attribute_to_type(self, typ: Type, name: str) -> Type: + """Inject an extra attribute with Any type using fallbacks.""" + orig_typ = typ + typ = get_proper_type(typ) + any_type = AnyType(TypeOfAny.unannotated) + if isinstance(typ, Instance): + result = typ.copy_with_extra_attr(name, any_type) + # For instances, we erase the possible module name, so that restrictions + # become anonymous types.ModuleType instances, allowing hasattr() to + # have effect on modules. + assert result.extra_attrs is not None + result.extra_attrs.mod_name = None + return result + if isinstance(typ, TupleType): + fallback = typ.partial_fallback.copy_with_extra_attr(name, any_type) + return typ.copy_modified(fallback=fallback) + if isinstance(typ, CallableType): + fallback = typ.fallback.copy_with_extra_attr(name, any_type) + return typ.copy_modified(fallback=fallback) + if isinstance(typ, TypeType) and isinstance(typ.item, Instance): + return TypeType.make_normalized( + self.add_any_attribute_to_type(typ.item, name), is_type_form=typ.is_type_form + ) + if isinstance(typ, TypeVarType): + return typ.copy_modified( + upper_bound=self.add_any_attribute_to_type(typ.upper_bound, name), + values=[self.add_any_attribute_to_type(v, name) for v in typ.values], + ) + if isinstance(typ, UnionType): + with_attr, without_attr = self.partition_union_by_attr(typ, name) + return make_simplified_union( + with_attr + [self.add_any_attribute_to_type(typ, name) for typ in without_attr] + ) + return orig_typ + + def hasattr_type_maps( + self, expr: Expression, source_type: Type, name: str + ) -> tuple[TypeMap, TypeMap]: + """Simple support for hasattr() checks. + + Essentially the logic is following: + * In the if branch, keep types that already has a valid attribute as is, + for other inject an attribute with `Any` type. + * In the else branch, remove types that already have a valid attribute, + while keeping the rest. + """ + if self.has_valid_attribute(source_type, name): + return {expr: source_type}, {} + + source_type = get_proper_type(source_type) + if isinstance(source_type, UnionType): + _, without_attr = self.partition_union_by_attr(source_type, name) + yes_map = {expr: self.add_any_attribute_to_type(source_type, name)} + return yes_map, {expr: make_simplified_union(without_attr)} + + type_with_attr = self.add_any_attribute_to_type(source_type, name) + if type_with_attr != source_type: + return {expr: type_with_attr}, {} + return {}, {} + + def partition_union_by_attr( + self, source_type: UnionType, name: str + ) -> tuple[list[Type], list[Type]]: + with_attr = [] + without_attr = [] + for item in source_type.items: + if self.has_valid_attribute(item, name): + with_attr.append(item) + else: + without_attr.append(item) + return with_attr, without_attr + + def has_valid_attribute(self, typ: Type, name: str) -> bool: + p_typ = get_proper_type(typ) + if isinstance(p_typ, AnyType): + return False + if isinstance(p_typ, Instance) and p_typ.extra_attrs and p_typ.extra_attrs.mod_name: + # Presence of module_symbol_table means this check will skip ModuleType.__getattr__ + module_symbol_table = p_typ.type.names + else: + module_symbol_table = None + with self.msg.filter_errors() as watcher: + analyze_member_access( + name, + typ, + TempNode(AnyType(TypeOfAny.special_form)), + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=typ, + chk=self, + # This is not a real attribute lookup so don't mess with deferring nodes. + no_deferral=True, + module_symbol_table=module_symbol_table, + ) + return not watcher.has_new_errors() + + def get_expression_type(self, node: Expression, type_context: Type | None = None) -> Type: + return self.expr_checker.accept(node, type_context=type_context) + + def is_defined_in_stub(self, typ: Instance, /) -> bool: + return self.modules[typ.type.module_name].is_stub + + def check_deprecated(self, node: Node | None, context: Context) -> None: + """Warn if deprecated and not directly imported with a `from` statement.""" + if isinstance(node, Decorator): + node = node.func + if isinstance(node, (FuncDef, OverloadedFuncDef, TypeInfo)) and ( + node.deprecated is not None + ): + for imp in self.tree.imports: + if isinstance(imp, ImportFrom) and any(node.name == n[0] for n in imp.names): + break + else: + self.warn_deprecated(node, context) + + def warn_deprecated(self, node: Node | None, context: Context) -> None: + """Warn if deprecated.""" + if isinstance(node, Decorator): + node = node.func + if ( + isinstance(node, (FuncDef, OverloadedFuncDef, TypeInfo)) + and (deprecated := node.deprecated) is not None + and not self.is_typeshed_stub + and not any( + node.fullname == p or node.fullname.startswith(f"{p}.") + for p in self.options.deprecated_calls_exclude + ) + ): + warn = self.msg.note if self.options.report_deprecated_as_note else self.msg.fail + warn(deprecated, context, code=codes.DEPRECATED) + + def new_unique_dummy_name(self, namespace: str) -> str: + """Generate a name that is guaranteed to be unique for this TypeChecker instance.""" + name = f"dummy-{namespace}-{self._unique_id}" + self._unique_id += 1 + return name + + # leafs + + def visit_pass_stmt(self, o: PassStmt, /) -> None: + return None + + def visit_nonlocal_decl(self, o: NonlocalDecl, /) -> None: + return None + + def visit_global_decl(self, o: GlobalDecl, /) -> None: + return None + + +class TypeCheckerAsSemanticAnalyzer(SemanticAnalyzerCoreInterface): + """ + Adapts TypeChecker to the SemanticAnalyzerCoreInterface, + allowing most type expressions to be parsed during the TypeChecker pass. + + See ExpressionChecker.try_parse_as_type_expression() to understand how this + class is used. + """ + + _chk: TypeChecker + _names: dict[str, SymbolTableNode] + did_fail: bool + + def __init__(self, chk: TypeChecker, names: dict[str, SymbolTableNode]) -> None: + self._chk = chk + self._names = names + self.did_fail = False + + def lookup_qualified( + self, name: str, ctx: Context, suppress_errors: bool = False + ) -> SymbolTableNode | None: + sym = self._names.get(name) + # All names being looked up should have been previously gathered, + # even if the related SymbolTableNode does not refer to a valid SymbolNode + assert sym is not None, name + return sym + + def lookup_fully_qualified(self, fullname: str, /) -> SymbolTableNode: + ret = self.lookup_fully_qualified_or_none(fullname) + assert ret is not None, fullname + return ret + + def lookup_fully_qualified_or_none(self, fullname: str, /) -> SymbolTableNode | None: + try: + return self._chk.lookup_qualified(fullname) + except KeyError: + return None + + def fail( + self, + msg: str, + ctx: Context, + serious: bool = False, + *, + blocker: bool = False, + code: ErrorCode | None = None, + ) -> None: + self.did_fail = True + + def note(self, msg: str, ctx: Context, *, code: ErrorCode | None = None) -> None: + pass + + def incomplete_feature_enabled(self, feature: str, ctx: Context) -> bool: + if feature not in self._chk.options.enable_incomplete_feature: + self.fail("__ignored__", ctx) + return False + return True + + def record_incomplete_ref(self) -> None: + pass + + def defer(self, debug_context: Context | None = None, force_progress: bool = False) -> None: + pass + + def is_incomplete_namespace(self, fullname: str) -> bool: + return False + + @property + def final_iteration(self) -> bool: + return True + + def is_future_flag_set(self, flag: str) -> bool: + return self._chk.tree.is_future_flag_set(flag) + + @property + def is_stub_file(self) -> bool: + return self._chk.tree.is_stub + + def is_func_scope(self) -> bool: + # Return arbitrary value. + # + # This method is currently only used to decide whether to pair + # a fail() message with a note() message or not. Both of those + # message types are ignored. + return False + + @property + def type(self) -> TypeInfo | None: + return self._chk.type + + +class CollectArgTypeVarTypes(TypeTraverserVisitor): + """Collects the non-nested argument types in a set.""" + + def __init__(self) -> None: + self.arg_types: set[TypeVarType] = set() + + def visit_type_var(self, t: TypeVarType) -> None: + self.arg_types.add(t) + + +@overload +def conditional_types( + current_type: Type, + proposed_type_ranges: list[TypeRange] | None, + default: None = None, + *, + consider_runtime_isinstance: bool = True, + from_equality: bool = False, +) -> tuple[Type | None, Type | None]: ... + + +@overload +def conditional_types( + current_type: Type, + proposed_type_ranges: list[TypeRange] | None, + default: Type, + *, + consider_runtime_isinstance: bool = True, + from_equality: bool = False, +) -> tuple[Type, Type]: ... + + +def conditional_types( + current_type: Type, + proposed_type_ranges: list[TypeRange] | None, + default: Type | None = None, + *, + consider_runtime_isinstance: bool = True, + from_equality: bool = False, +) -> tuple[Type | None, Type | None]: + """Takes in the current type and a proposed type of an expression. + + Returns a 2-tuple: + The first element is the proposed type, if the expression can be the proposed type. + (or default, if default is set and the expression is a subtype of the proposed type). + The second element is the type it would hold if it was not the proposed type, if any. + (or default, if default is set and the expression is not a subtype of the proposed type). + + UninhabitedType means unreachable. + None means no new information can be inferred. + """ + if proposed_type_ranges is None: + # An isinstance check, but we don't understand the type + return current_type, default + + if not proposed_type_ranges: + # This is the case for `if isinstance(x, ())` which always returns False. + return UninhabitedType(), default + + if len(proposed_type_ranges) == 1: + # expand e.g. bool -> Literal[True] | Literal[False] + target = proposed_type_ranges[0].item + target = get_proper_type(target) + if isinstance(target, LiteralType) and ( + target.is_enum_literal() or isinstance(target.value, bool) + ): + enum_name = target.fallback.type.fullname + current_type = try_expanding_sum_type_to_union(current_type, enum_name) + + proposed_type: Type + remaining_type: Type + + p_current_type = get_proper_type(current_type) + # factorize over union types: isinstance(A|B, C) -> yes = A_yes | B_yes + if isinstance(p_current_type, UnionType): + yes_items: list[Type] = [] + no_items: list[Type] = [] + for union_item in p_current_type.items: + yes_type, no_type = conditional_types( + union_item, + proposed_type_ranges, + default=union_item, + consider_runtime_isinstance=consider_runtime_isinstance, + from_equality=from_equality, + ) + yes_items.append(yes_type) + no_items.append(no_type) + + proposed_type = make_simplified_union(yes_items) + remaining_type = make_simplified_union(no_items) + return proposed_type, remaining_type + + proposed_type = make_simplified_union([type_range.item for type_range in proposed_type_ranges]) + items = proposed_type.items if isinstance(proposed_type, UnionType) else [proposed_type] + for i in range(len(items)): + item = get_proper_type(items[i]) + # Avoid ever narrowing to a NewType. The principle is values of NewType should only be + # produce by explicit wrapping + while isinstance(item, Instance) and item.type.is_newtype: + item = item.type.bases[0] + items[i] = item + proposed_type = get_proper_type(UnionType.make_union(items)) + + if isinstance(p_current_type, AnyType): + return proposed_type, current_type + if isinstance(proposed_type, AnyType): + # We don't really know much about the proposed type, so we shouldn't + # attempt to narrow anything. Instead, we broaden the expr to Any to + # avoid false positives + return proposed_type, default + if not any(type_range.is_upper_bound for type_range in proposed_type_ranges): + # concrete subtype + if is_proper_subtype(current_type, proposed_type, ignore_promotions=True): + return default, UninhabitedType() + + # structural subtypes + if ( + isinstance(proposed_type, CallableType) + or (isinstance(proposed_type, Instance) and proposed_type.type.is_protocol) + ) and is_subtype(current_type, proposed_type, ignore_promotions=True): + # Note: It's possible that current_type=`Any | Proto` while proposed_type=`Proto` + # so we cannot return `Never` for the else branch + remainder = restrict_subtype_away( + current_type, + default if default is not None else proposed_type, + consider_runtime_isinstance=consider_runtime_isinstance, + ) + return default, remainder + + if from_equality: + # We erase generic args because values with different generic types can compare equal + # For instance, cast(list[str], []) and cast(list[int], []) + proposed_type = shallow_erase_type_for_equality(proposed_type) + if not is_overlapping_types(current_type, proposed_type, ignore_promotions=False): + # Equality narrowing is one of the places at runtime where subtyping with promotion + # does happen to match runtime semantics + # Expression is never of any type in proposed_type_ranges + return UninhabitedType(), default + if not is_overlapping_types(current_type, proposed_type, ignore_promotions=True): + return default, default + else: + if not is_overlapping_types(current_type, proposed_type, ignore_promotions=True): + # Expression is never of any type in proposed_type_ranges + return UninhabitedType(), default + + # we can only restrict when the type is precise, not bounded + proposed_precise_type = UnionType.make_union( + [type_range.item for type_range in proposed_type_ranges if not type_range.is_upper_bound] + ) + remaining_type = restrict_subtype_away( + current_type, + proposed_precise_type, + consider_runtime_isinstance=consider_runtime_isinstance, + ) + + # Avoid widening the type + if is_proper_subtype(p_current_type, proposed_type, ignore_promotions=True): + proposed_type = default if default is not None else current_type + + return proposed_type, remaining_type + + +def conditional_types_to_typemaps( + expr: Expression, yes_type: Type | None, no_type: Type | None +) -> tuple[TypeMap, TypeMap]: + expr = collapse_walrus(expr) + + yes_map = {} if yes_type is None else {expr: yes_type} + no_map = {} if no_type is None else {expr: no_type} + return yes_map, no_map + + +def gen_unique_name(base: str, table: SymbolTable) -> str: + """Generate a name that does not appear in table by appending numbers to base.""" + if base not in table: + return base + i = 1 + while base + str(i) in table: + i += 1 + return base + str(i) + + +def is_true_literal(n: Expression) -> bool: + """Returns true if this expression is the 'True' literal/keyword.""" + return refers_to_fullname(n, "builtins.True") or isinstance(n, IntExpr) and n.value != 0 + + +def is_false_literal(n: Expression) -> bool: + """Returns true if this expression is the 'False' literal/keyword.""" + return refers_to_fullname(n, "builtins.False") or isinstance(n, IntExpr) and n.value == 0 + + +def is_literal_none(n: Expression) -> bool: + """Returns true if this expression is the 'None' literal/keyword.""" + return isinstance(n, NameExpr) and n.fullname == "builtins.None" + + +def is_literal_not_implemented(n: Expression | None) -> bool: + return isinstance(n, NameExpr) and n.fullname == "builtins.NotImplemented" + + +def _is_empty_generator_function(func: FuncItem) -> bool: + """ + Checks whether a function's body is 'return; yield' (the yield being added only + to promote the function into a generator function). + """ + body = func.body.body + return ( + len(body) == 2 + and isinstance(ret_stmt := body[0], ReturnStmt) + and (ret_stmt.expr is None or is_literal_none(ret_stmt.expr)) + and isinstance(expr_stmt := body[1], ExpressionStmt) + and isinstance(yield_expr := expr_stmt.expr, YieldExpr) + and (yield_expr.expr is None or is_literal_none(yield_expr.expr)) + ) + + +def builtin_item_type(tp: Type) -> Type | None: + """Get the item type of a builtin container. + + If 'tp' is not one of the built containers (these includes NamedTuple and TypedDict) + or if the container is not parameterized (like List or List[Any]) + return None. This function is used to narrow optional types in situations like this: + + x: Optional[int] + if x in (1, 2, 3): + x + 42 # OK + + Note: this is only OK for built-in containers, where we know the behavior + of __contains__. + """ + tp = get_proper_type(tp) + + if isinstance(tp, Instance): + if tp.type.fullname in [ + "builtins.list", + "builtins.tuple", + "builtins.dict", + "builtins.set", + "builtins.frozenset", + "_collections_abc.dict_keys", + "typing.KeysView", + ]: + if not tp.args: + # TODO: fix tuple in lib-stub/builtins.pyi (it should be generic). + return None + if not isinstance(get_proper_type(tp.args[0]), AnyType): + return tp.args[0] + elif isinstance(tp, TupleType): + normalized_items = [] + for it in tp.items: + # This use case is probably rare, but not handling unpacks here can cause crashes. + if isinstance(it, UnpackType): + unpacked = get_proper_type(it.type) + if isinstance(unpacked, TypeVarTupleType): + unpacked = get_proper_type(unpacked.upper_bound) + assert ( + isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" + ) + normalized_items.append(unpacked.args[0]) + else: + normalized_items.append(it) + if all(not isinstance(it, AnyType) for it in get_proper_types(normalized_items)): + return make_simplified_union(normalized_items) # this type is not externally visible + elif isinstance(tp, TypedDictType): + # TypedDict always has non-optional string keys. Find the key type from the Mapping + # base class. + for base in tp.fallback.type.mro: + if base.fullname == "typing.Mapping": + return map_instance_to_supertype(tp.fallback, base).args[0] + assert False, "No Mapping base class found for TypedDict fallback" + return None + + +def is_unreachable_map(map: TypeMap) -> bool: + return any(isinstance(get_proper_type(v), UninhabitedType) for v in map.values()) + + +def and_conditional_maps(m1: TypeMap, m2: TypeMap, *, use_meet: bool = False) -> TypeMap: + """Calculate what information we can learn from the truth of (e1 and e2) + in terms of the information that we can learn from the truth of e1 and + the truth of e2. + """ + # Both conditions can be true; combine the information. Anything + # we learn from either conditions' truth is valid. If the same + # expression's type is refined by both conditions, we somewhat + # arbitrarily give precedence to m2 unless m1 value is Any. + # In the future, we could use an intersection type or meet_types(). + result = m2.copy() + m2_keys = {literal_hash(n2) for n2 in m2} + for n1 in m1: + if literal_hash(n1) not in m2_keys or isinstance( + get_proper_type(m1[n1]), (AnyType, UninhabitedType) + ): + result[n1] = m1[n1] + if use_meet: + # For now, meet common keys only if specifically requested. + # This is currently used for tuple types narrowing, where having + # a precise result is important. + for n1 in m1: + for n2 in m2: + if literal_hash(n1) == literal_hash(n2): + result[n1] = meet_types(m1[n1], m2[n2]) + return result + + +def or_conditional_maps(m1: TypeMap, m2: TypeMap, *, coalesce_any: bool = False) -> TypeMap: + """Calculate what information we can learn from the truth of (e1 or e2) + in terms of the information that we can learn from the truth of e1 and + the truth of e2. If coalesce_any is True, consider Any a supertype when + joining restrictions. + """ + + if is_unreachable_map(m1): + return m2 + if is_unreachable_map(m2): + return m1 + # Both conditions can be true. Combine information about + # expressions whose type is refined by both conditions. (We do not + # learn anything about expressions whose type is refined by only + # one condition.) + result: dict[Expression, Type] = {} + for n1 in m1: + for n2 in m2: + if literal_hash(n1) == literal_hash(n2): + if coalesce_any and isinstance(get_proper_type(m1[n1]), AnyType): + result[n1] = m1[n1] + else: + result[n1] = make_simplified_union([m1[n1], m2[n2]]) + return result + + +def reduce_conditional_maps( + type_maps: list[tuple[TypeMap, TypeMap]], use_meet: bool = False +) -> tuple[TypeMap, TypeMap]: + """Reduces a list containing pairs of if/else TypeMaps into a single pair. + + We "and" together all of the if TypeMaps and "or" together the else TypeMaps. So + for example, if we had the input: + + [ + ({x: TypeIfX, shared: TypeIfShared1}, {x: TypeElseX, shared: TypeElseShared1}), + ({y: TypeIfY, shared: TypeIfShared2}, {y: TypeElseY, shared: TypeElseShared2}), + ] + + ...we'd return the output: + + ( + {x: TypeIfX, y: TypeIfY, shared: PseudoIntersection[TypeIfShared1, TypeIfShared2]}, + {shared: Union[TypeElseShared1, TypeElseShared2]}, + ) + + ...where "PseudoIntersection[X, Y] == Y" because mypy actually doesn't understand intersections + yet, so we settle for just arbitrarily picking the right expr's type. + + We only retain the shared expression in the 'else' case because we don't actually know + whether x was refined or y was refined -- only just that one of the two was refined. + """ + if len(type_maps) == 0: + return {}, {} + elif len(type_maps) == 1: + return type_maps[0] + else: + final_if_map, final_else_map = type_maps[0] + for if_map, else_map in type_maps[1:]: + final_if_map = and_conditional_maps(final_if_map, if_map, use_meet=use_meet) + final_else_map = or_conditional_maps(final_else_map, else_map) + + return final_if_map, final_else_map + + +def reduce_or_conditional_type_maps(ms: list[TypeMap]) -> TypeMap: + """Reduces a list of TypeMaps into a single TypeMap by "or"-ing them together.""" + if len(ms) == 0: + return {} + if len(ms) == 1: + return ms[0] + result = ms[0] + for m in ms[1:]: + result = or_conditional_maps(result, m) + return result + + +def reduce_and_conditional_type_maps(ms: list[TypeMap], *, use_meet: bool) -> TypeMap: + """Reduces a list of TypeMaps into a single TypeMap by "and"-ing them together.""" + if len(ms) == 0: + return {} + if len(ms) == 1: + return ms[0] + result = ms[0] + for m in ms[1:]: + if not m: + continue # this is a micro-optimisation + result = and_conditional_maps(result, m, use_meet=use_meet) + return result + + +BUILTINS_CUSTOM_EQ_CHECKS: Final = { + "builtins.bytearray", + "builtins.memoryview", + "builtins.frozenset", + "_collections_abc.dict_keys", + "_collections_abc.dict_items", +} + + +def has_custom_eq_checks(t: Type) -> bool: + return ( + custom_special_method(t, "__eq__", check_all=False) + or custom_special_method(t, "__ne__", check_all=False) + # custom_special_method has special casing for builtins.* and typing.* that make the + # above always return False. So here we return True if the a value of a builtin type + # will ever compare equal to value of another type, e.g. a bytes value can compare equal + # to a bytearray value. + or ( + isinstance(pt := get_proper_type(t), Instance) + and pt.type.fullname in BUILTINS_CUSTOM_EQ_CHECKS + ) + ) + + +def convert_to_typetype(type_map: TypeMap) -> TypeMap: + converted_type_map: dict[Expression, Type] = {} + for expr, typ in type_map.items(): + t = typ + if isinstance(t, TypeVarType): + t = t.upper_bound + t = get_proper_type(t) + + # TODO: should we only allow unions of instances as per PEP 484? + if isinstance(t, UninhabitedType): + converted_type_map[expr] = typ + elif isinstance(t, (UnionType, Instance, NoneType)): + converted_type_map[expr] = TypeType.make_normalized(typ) + else: + # unknown type; error was likely reported earlier + return {} + return converted_type_map + + +def flatten(t: Expression) -> list[Expression]: + """Flatten a nested sequence of tuples/lists into one list of nodes.""" + if isinstance(t, (TupleExpr, ListExpr)): + return [b for a in t.items for b in flatten(a)] + elif isinstance(t, StarExpr): + return flatten(t.expr) + else: + return [t] + + +def flatten_types_if_tuple(t: Type) -> list[Type]: + """Flatten a nested sequence of tuples into one list of nodes.""" + t = get_proper_type(t) + if isinstance(t, UnionType): + return [UnionType.make_union([b for a in t.items for b in flatten_types_if_tuple(a)])] + if isinstance(t, TupleType): + return [b for a in t.items for b in flatten_types_if_tuple(a)] + elif is_named_instance(t, "builtins.tuple"): + return [t.args[0]] + return [t] + + +def expand_func(defn: FuncItem, map: dict[TypeVarId, Type]) -> FuncItem: + visitor = TypeTransformVisitor(map) + ret = visitor.node(defn) + assert isinstance(ret, FuncItem) + return ret + + +class TypeTransformVisitor(TransformVisitor): + def __init__(self, map: dict[TypeVarId, Type]) -> None: + super().__init__() + self.map = map + + def type(self, type: Type) -> Type: + return expand_type(type, self.map) + + +def are_argument_counts_overlapping(t: CallableType, s: CallableType) -> bool: + """Can a single call match both t and s, based just on positional argument counts?""" + min_args = max(t.min_args, s.min_args) + max_args = min(t.max_possible_positional_args(), s.max_possible_positional_args()) + return min_args <= max_args + + +def expand_callable_variants(c: CallableType) -> list[CallableType]: + """Expand a generic callable using all combinations of type variables' values/bounds.""" + for tv in c.variables: + # We need to expand self-type before other variables, because this is the only + # type variable that can have other type variables in the upper bound. + if tv.id.is_self(): + c = expand_type(c, {tv.id: tv.upper_bound}).copy_modified( + variables=[v for v in c.variables if not v.id.is_self()] + ) + break + + if not c.is_generic(): + # Fast path. + return [c] + + tvar_values = [] + for tvar in c.variables: + if isinstance(tvar, TypeVarType) and tvar.values: + tvar_values.append(tvar.values) + else: + tvar_values.append([tvar.upper_bound]) + + variants = [] + for combination in itertools.product(*tvar_values): + tvar_map = {tv.id: subst for (tv, subst) in zip(c.variables, combination)} + variants.append(expand_type(c, tvar_map).copy_modified(variables=[])) + return variants + + +def is_unsafe_overlapping_overload_signatures( + signature: CallableType, + other: CallableType, + class_type_vars: list[TypeVarLikeType], + partial_only: bool = True, +) -> bool: + """Check if two overloaded signatures are unsafely overlapping or partially overlapping. + + We consider two functions 's' and 't' to be unsafely overlapping if three + conditions hold: + + 1. s's parameters are partially overlapping with t's. i.e. there are calls that are + valid for both signatures. + 2. for these common calls, some of t's parameters types are wider that s's. + 3. s's return type is NOT a subset of t's. + + Note that we use subset rather than subtype relationship in these checks because: + * Overload selection happens at runtime, not statically. + * This results in more lenient behavior. + This can cause false negatives (e.g. if overloaded function returns an externally + visible attribute with invariant type), but such situations are rare. In general, + overloads in Python are generally unsafe, so we intentionally try to avoid giving + non-actionable errors (see more details in comments below). + + Assumes that 'signature' appears earlier in the list of overload + alternatives then 'other' and that their argument counts are overlapping. + """ + # Try detaching callables from the containing class so that all TypeVars + # are treated as being free, i.e. the signature is as seen from inside the class, + # where "self" is not yet bound to anything. + signature = detach_callable(signature, class_type_vars) + other = detach_callable(other, class_type_vars) + + # Note: We repeat this check twice in both directions compensate for slight + # asymmetries in 'is_callable_compatible'. + + other_expanded = expand_callable_variants(other) + for sig_variant in expand_callable_variants(signature): + for other_variant in other_expanded: + # Using only expanded callables may cause false negatives, we can add + # more variants (e.g. using inference between callables) in the future. + if is_subset_no_promote(sig_variant.ret_type, other_variant.ret_type): + continue + if not ( + is_callable_compatible( + sig_variant, + other_variant, + is_compat=is_overlapping_types_for_overload, + check_args_covariantly=False, + is_proper_subtype=False, + is_compat_return=lambda l, r: not is_subset_no_promote(l, r), + allow_partial_overlap=True, + ) + or is_callable_compatible( + other_variant, + sig_variant, + is_compat=is_overlapping_types_for_overload, + check_args_covariantly=True, + is_proper_subtype=False, + is_compat_return=lambda l, r: not is_subset_no_promote(r, l), + allow_partial_overlap=True, + ) + ): + continue + # Using the same `allow_partial_overlap` flag as before, can cause false + # negatives in case where star argument is used in a catch-all fallback overload. + # But again, practicality beats purity here. + if not partial_only or not is_callable_compatible( + other_variant, + sig_variant, + is_compat=is_subset_no_promote, + check_args_covariantly=True, + is_proper_subtype=False, + ignore_return=True, + allow_partial_overlap=True, + ): + return True + return False + + +def detach_callable(typ: CallableType, class_type_vars: list[TypeVarLikeType]) -> CallableType: + """Ensures that the callable's type variables are 'detached' and independent of the context. + + A callable normally keeps track of the type variables it uses within its 'variables' field. + However, if the callable is from a method and that method is using a class type variable, + the callable will not keep track of that type variable since it belongs to the class. + """ + if not class_type_vars: + # Fast path, nothing to update. + return typ + return typ.copy_modified(variables=list(typ.variables) + class_type_vars) + + +def overload_can_never_match(signature: CallableType, other: CallableType) -> bool: + """Check if the 'other' method can never be matched due to 'signature'. + + This can happen if signature's parameters are all strictly broader then + other's parameters. + + Assumes that both signatures have overlapping argument counts. + """ + # The extra erasure is needed to prevent spurious errors + # in situations where an `Any` overload is used as a fallback + # for an overload with type variables. The spurious error appears + # because the type variables turn into `Any` during unification in + # the below subtype check and (surprisingly?) `is_proper_subtype(Any, Any)` + # returns `True`. + # TODO: find a cleaner solution instead of this ad-hoc erasure. + exp_signature = expand_type( + signature, {tvar.id: erase_def_to_union_or_bound(tvar) for tvar in signature.variables} + ) + return is_callable_compatible( + exp_signature, other, is_compat=is_more_precise, is_proper_subtype=True, ignore_return=True + ) + + +def is_more_general_arg_prefix(t: FunctionLike, s: FunctionLike) -> bool: + """Does t have wider arguments than s?""" + # TODO should an overload with additional items be allowed to be more + # general than one with fewer items (or just one item)? + if isinstance(t, CallableType): + if isinstance(s, CallableType): + return is_callable_compatible( + t, s, is_compat=is_proper_subtype, is_proper_subtype=True, ignore_return=True + ) + elif isinstance(t, FunctionLike): + if isinstance(s, FunctionLike): + if len(t.items) == len(s.items): + return all( + is_same_arg_prefix(items, itemt) for items, itemt in zip(t.items, s.items) + ) + return False + + +def is_same_arg_prefix(t: CallableType, s: CallableType) -> bool: + return is_callable_compatible( + t, + s, + is_compat=is_same_type, + is_proper_subtype=True, + ignore_return=True, + check_args_covariantly=True, + ignore_pos_arg_names=True, + ) + + +def infer_operator_assignment_method(typ: Type, operator: str) -> tuple[bool, str]: + """Determine if operator assignment on given value type is in-place, and the method name. + + For example, if operator is '+', return (True, '__iadd__') or (False, '__add__') + depending on which method is supported by the type. + """ + typ = get_proper_type(typ) + method = operators.op_methods[operator] + existing_method = None + if isinstance(typ, Instance): + existing_method = _find_inplace_method(typ, method, operator) + elif isinstance(typ, TypedDictType): + existing_method = _find_inplace_method(typ.fallback, method, operator) + + if existing_method is not None: + return True, existing_method + return False, method + + +def _find_inplace_method(inst: Instance, method: str, operator: str) -> str | None: + if operator in operators.ops_with_inplace_method: + inplace_method = "__i" + method[2:] + if inst.type.has_readable_member(inplace_method): + return inplace_method + return None + + +def is_valid_inferred_type( + typ: Type, options: Options, is_lvalue_final: bool = False, is_lvalue_member: bool = False +) -> bool: + """Is an inferred type valid and needs no further refinement? + + Examples of invalid types include the None type (when we are not assigning + None to a final lvalue) or List[]. + + When not doing strict Optional checking, all types containing None are + invalid. When doing strict Optional checking, only None and types that are + incompletely defined (i.e. contain UninhabitedType) are invalid. + """ + proper_type = get_proper_type(typ) + if isinstance(proper_type, NoneType): + # If the lvalue is final, we may immediately infer NoneType when the + # initializer is None. + # + # If not, we want to defer making this decision. The final inferred + # type could either be NoneType or an Optional type, depending on + # the context. This resolution happens in leave_partial_types when + # we pop a partial types scope. + return is_lvalue_final or (not is_lvalue_member and options.allow_redefinition_new) + elif isinstance(proper_type, UninhabitedType): + return False + return not typ.accept(InvalidInferredTypes()) + + +class InvalidInferredTypes(BoolTypeQuery): + """Find type components that are not valid for an inferred type. + + These include type, and any uninhabited types resulting from failed + (ambiguous) type inference. + """ + + def __init__(self) -> None: + super().__init__(ANY_STRATEGY) + + def visit_uninhabited_type(self, t: UninhabitedType) -> bool: + return t.ambiguous + + def visit_erased_type(self, t: ErasedType) -> bool: + # This can happen inside a lambda. + return True + + def visit_type_var(self, t: TypeVarType) -> bool: + # This is needed to prevent leaking into partial types during + # multi-step type inference. + return t.id.is_meta_var() + + def visit_tuple_type(self, t: TupleType, /) -> bool: + # Exclude fallback to avoid bogus "need type annotation" errors + return self.query_types(t.items) + + +class SetNothingToAny(TypeTranslator): + """Replace all ambiguous Uninhabited types with Any (to avoid spurious extra errors).""" + + def visit_uninhabited_type(self, t: UninhabitedType) -> Type: + if t.ambiguous: + return AnyType(TypeOfAny.from_error) + return t + + def visit_type_alias_type(self, t: TypeAliasType) -> Type: + # Target of the alias cannot be an ambiguous UninhabitedType, so we just + # replace the arguments. + return t.copy_modified(args=[a.accept(self) for a in t.args]) + + +def is_classmethod_node(node: SymbolNode | None) -> bool | None: + """Find out if a node describes a classmethod.""" + if isinstance(node, Decorator): + node = node.func + if isinstance(node, FuncDef): + return node.is_class + if isinstance(node, Var): + return node.is_classmethod + return None + + +def is_node_static(node: SymbolNode | None) -> bool | None: + """Find out if a node describes a static function method.""" + if isinstance(node, Decorator): + node = node.func + if isinstance(node, FuncDef): + return node.is_static + if isinstance(node, Var): + return node.is_staticmethod + return None + + +TKey = TypeVar("TKey") +TValue = TypeVar("TValue") + + +class DisjointDict(Generic[TKey, TValue]): + """An variation of the union-find algorithm/data structure where instead of keeping + track of just disjoint sets, we keep track of disjoint dicts -- keep track of multiple + Set[Key] -> Set[Value] mappings, where each mapping's keys are guaranteed to be disjoint. + + This data structure is currently used exclusively by 'group_comparison_operands' below + to merge chains of '==' and 'is' comparisons when two or more chains use the same expression + in best-case O(n), where n is the number of operands. + + Specifically, the `add_mapping()` function and `items()` functions will take on average + O(k + v) and O(n) respectively, where k and v are the number of keys and values we're adding + for a given chain. Note that k <= n and v <= n. + + We hit these average/best-case scenarios for most user code: e.g. when the user has just + a single chain like 'a == b == c == d == ...' or multiple disjoint chains like + 'a==b < c==d < e==f < ...'. (Note that a naive iterative merging would be O(n^2) for + the latter case). + + In comparison, this data structure will make 'group_comparison_operands' have a worst-case + runtime of O(n*log(n)): 'add_mapping()' and 'items()' are worst-case O(k*log(n) + v) and + O(k*log(n)) respectively. This happens only in the rare case where the user keeps repeatedly + making disjoint mappings before merging them in a way that persistently dodges the path + compression optimization in '_lookup_root_id', which would end up constructing a single + tree of height log_2(n). This makes root lookups no longer amoritized constant time when we + finally call 'items()'. + """ + + def __init__(self) -> None: + # Each key maps to a unique ID + self._key_to_id: dict[TKey, int] = {} + + # Each id points to the parent id, forming a forest of upwards-pointing trees. If the + # current id already is the root, it points to itself. We gradually flatten these trees + # as we perform root lookups: eventually all nodes point directly to its root. + self._id_to_parent_id: dict[int, int] = {} + + # Each root id in turn maps to the set of values. + self._root_id_to_values: dict[int, set[TValue]] = {} + + def add_mapping(self, keys: set[TKey], values: set[TValue]) -> None: + """Adds a 'Set[TKey] -> Set[TValue]' mapping. If there already exists a mapping + containing one or more of the given keys, we merge the input mapping with the old one. + + Note that the given set of keys must be non-empty -- otherwise, nothing happens. + """ + if not keys: + return + + subtree_roots = [self._lookup_or_make_root_id(key) for key in keys] + new_root = subtree_roots[0] + + root_values = self._root_id_to_values[new_root] + root_values.update(values) + for subtree_root in subtree_roots[1:]: + if subtree_root == new_root or subtree_root not in self._root_id_to_values: + continue + self._id_to_parent_id[subtree_root] = new_root + root_values.update(self._root_id_to_values.pop(subtree_root)) + + def items(self) -> list[tuple[set[TKey], set[TValue]]]: + """Returns all disjoint mappings in key-value pairs.""" + root_id_to_keys: dict[int, set[TKey]] = {} + for key in self._key_to_id: + root_id = self._lookup_root_id(key) + if root_id not in root_id_to_keys: + root_id_to_keys[root_id] = set() + root_id_to_keys[root_id].add(key) + + output = [] + for root_id, keys in root_id_to_keys.items(): + output.append((keys, self._root_id_to_values[root_id])) + + return output + + def _lookup_or_make_root_id(self, key: TKey) -> int: + if key in self._key_to_id: + return self._lookup_root_id(key) + else: + new_id = len(self._key_to_id) + self._key_to_id[key] = new_id + self._id_to_parent_id[new_id] = new_id + self._root_id_to_values[new_id] = set() + return new_id + + def _lookup_root_id(self, key: TKey) -> int: + i = self._key_to_id[key] + while i != self._id_to_parent_id[i]: + # Optimization: make keys directly point to their grandparents to speed up + # future traversals. This prevents degenerate trees of height n from forming. + new_parent = self._id_to_parent_id[self._id_to_parent_id[i]] + self._id_to_parent_id[i] = new_parent + i = new_parent + return i + + +def group_comparison_operands( + pairwise_comparisons: Iterable[tuple[str, Expression, Expression]], + operand_to_literal_hash: Mapping[int, Key], + operators_to_group: set[str], +) -> list[tuple[str, list[int]]]: + """Group a series of comparison operands together chained by any operand + in the 'operators_to_group' set. All other pairwise operands are kept in + groups of size 2. + + For example, suppose we have the input comparison expression: + + x0 == x1 == x2 < x3 < x4 is x5 is x6 is not x7 is not x8 + + If we get these expressions in a pairwise way (e.g. by calling ComparisonExpr's + 'pairwise()' method), we get the following as input: + + [('==', x0, x1), ('==', x1, x2), ('<', x2, x3), ('<', x3, x4), + ('is', x4, x5), ('is', x5, x6), ('is not', x6, x7), ('is not', x7, x8)] + + If `operators_to_group` is the set {'==', 'is'}, this function will produce + the following "simplified operator list": + + [("==", [0, 1, 2]), ("<", [2, 3]), ("<", [3, 4]), + ("is", [4, 5, 6]), ("is not", [6, 7]), ("is not", [7, 8])] + + Note that (a) we yield *indices* to the operands rather then the operand + expressions themselves and that (b) operands used in a consecutive chain + of '==' or 'is' are grouped together. + + If two of these chains happen to contain operands with the same underlying + literal hash (e.g. are assignable and correspond to the same expression), + we combine those chains together. For example, if we had: + + same == x < y == same + + ...and if 'operand_to_literal_hash' contained the same values for the indices + 0 and 3, we'd produce the following output: + + [("==", [0, 1, 2, 3]), ("<", [1, 2])] + + But if the 'operand_to_literal_hash' did *not* contain an entry, we'd instead + default to returning: + + [("==", [0, 1]), ("<", [1, 2]), ("==", [2, 3])] + + This function is currently only used to assist with type-narrowing refinements + and is extracted out to a helper function so we can unit test it. + """ + groups: dict[str, DisjointDict[Key, int]] = {op: DisjointDict() for op in operators_to_group} + + simplified_operator_list: list[tuple[str, list[int]]] = [] + last_operator: str | None = None + current_indices: set[int] = set() + current_hashes: set[Key] = set() + for i, (operator, left_expr, right_expr) in enumerate(pairwise_comparisons): + if last_operator is None: + last_operator = operator + + if current_indices and (operator != last_operator or operator not in operators_to_group): + # If some of the operands in the chain are assignable, defer adding it: we might + # end up needing to merge it with other chains that appear later. + if not current_hashes: + simplified_operator_list.append((last_operator, sorted(current_indices))) + else: + groups[last_operator].add_mapping(current_hashes, current_indices) + last_operator = operator + current_indices = set() + current_hashes = set() + + # Note: 'i' corresponds to the left operand index, so 'i + 1' is the + # right operand. + current_indices.add(i) + current_indices.add(i + 1) + + # We only ever want to combine operands/combine chains for these operators + if operator in operators_to_group: + left_hash = operand_to_literal_hash.get(i) + if left_hash is not None: + current_hashes.add(left_hash) + right_hash = operand_to_literal_hash.get(i + 1) + if right_hash is not None: + current_hashes.add(right_hash) + + if last_operator is not None: + if not current_hashes: + simplified_operator_list.append((last_operator, sorted(current_indices))) + else: + groups[last_operator].add_mapping(current_hashes, current_indices) + + # Now that we know which chains happen to contain the same underlying expressions + # and can be merged together, add in this info back to the output. + for operator, disjoint_dict in groups.items(): + for keys, indices in disjoint_dict.items(): + simplified_operator_list.append((operator, sorted(indices))) + + # For stability, reorder list by the first operand index to appear + simplified_operator_list.sort(key=lambda item: item[1][0]) + return simplified_operator_list + + +def is_typed_callable(c: Type | None) -> bool: + c = get_proper_type(c) + if not c or not isinstance(c, CallableType): + return False + return not all( + isinstance(t, AnyType) and t.type_of_any == TypeOfAny.unannotated + for t in get_proper_types(c.arg_types + [c.ret_type]) + ) + + +def is_untyped_decorator(typ: Type | None) -> bool: + typ = get_proper_type(typ) + if not typ: + return True + elif isinstance(typ, CallableType): + return not is_typed_callable(typ) + elif isinstance(typ, Instance): + method = typ.type.get_method("__call__") + if method: + if isinstance(method, Decorator): + return is_untyped_decorator(method.func.type) or is_untyped_decorator( + method.var.type + ) + + if isinstance(method.type, Overloaded): + return any(is_untyped_decorator(item) for item in method.type.items) + else: + return not is_typed_callable(method.type) + else: + return False + elif isinstance(typ, Overloaded): + return any(is_untyped_decorator(item) for item in typ.items) + return True + + +def is_static(func: FuncBase | Decorator) -> bool: + if isinstance(func, Decorator): + return is_static(func.func) + elif isinstance(func, FuncBase): + return func.is_static + assert False, f"Unexpected func type: {type(func)}" + + +def is_property(defn: SymbolNode) -> bool: + if isinstance(defn, FuncDef): + return defn.is_property + if isinstance(defn, Decorator): + return defn.func.is_property + if isinstance(defn, OverloadedFuncDef): + if defn.items and isinstance(defn.items[0], Decorator): + return defn.items[0].func.is_property + return False + + +def is_settable_property(defn: SymbolNode | None) -> TypeGuard[OverloadedFuncDef]: + if isinstance(defn, OverloadedFuncDef): + if defn.items and isinstance(defn.items[0], Decorator): + return defn.items[0].func.is_property + return False + + +def is_custom_settable_property(defn: SymbolNode | None) -> bool: + """Check if a node is a settable property with a non-trivial setter type. + + By non-trivial here we mean that it is known (i.e. definition was already type + checked), it is not Any, and it is different from the property getter type. + """ + if defn is None: + return False + if not is_settable_property(defn): + return False + first_item = defn.items[0] + assert isinstance(first_item, Decorator) + if not first_item.var.is_settable_property: + return False + var = first_item.var + if var.type is None or var.setter_type is None or isinstance(var.type, PartialType): + # The caller should defer in case of partial types or not ready variables. + return False + setter_type = var.setter_type.arg_types[1] + if isinstance(get_proper_type(setter_type), AnyType): + return False + return not is_same_type(get_property_type(get_proper_type(var.type)), setter_type) + + +def get_property_type(t: ProperType) -> ProperType: + if isinstance(t, CallableType): + return get_proper_type(t.ret_type) + if isinstance(t, Overloaded): + return get_proper_type(t.items[0].ret_type) + return t + + +def is_subset_no_promote(left: Type, right: Type) -> bool: + return is_subtype(left, right, ignore_promotions=True, always_covariant=True) + + +def is_overlapping_types_for_overload(left: Type, right: Type) -> bool: + # Note that among other effects 'overlap_for_overloads' flag will effectively + # ignore possible overlap between type variables and None. This is technically + # unsafe, but unsafety is tiny and this prevents some common use cases like: + # @overload + # def foo(x: None) -> None: .. + # @overload + # def foo(x: T) -> Foo[T]: ... + return is_overlapping_types(left, right, ignore_promotions=True, overlap_for_overloads=True) + + +def is_private(node_name: str) -> bool: + """Check if node is private to class definition.""" + return node_name.startswith("__") and not node_name.endswith("__") + + +def is_string_literal(typ: Type) -> bool: + strs = try_getting_str_literals_from_type(typ) + return strs is not None and len(strs) == 1 + + +def has_bool_item(typ: ProperType) -> bool: + """Return True if type is 'bool' or a union with a 'bool' item.""" + if is_named_instance(typ, "builtins.bool"): + return True + if isinstance(typ, UnionType): + return any(is_named_instance(item, "builtins.bool") for item in typ.items) + return False + + +def collapse_walrus(e: Expression) -> Expression: + """If an expression is an AssignmentExpr, pull out the assignment target. + + We don't make any attempt to pull out all the targets in code like `x := (y := z)`. + We could support narrowing those if that sort of code turns out to be common. + """ + if isinstance(e, AssignmentExpr): + return e.target + return e + + +def find_last_var_assignment_line(n: Node, v: Var) -> int: + """Find the highest line number of a potential assignment to variable within node. + + This supports local and global variables. + + Return -1 if no assignment was found. + """ + visitor = VarAssignVisitor(v) + n.accept(visitor) + return visitor.last_line + + +class VarAssignVisitor(TraverserVisitor): + def __init__(self, v: Var) -> None: + self.last_line = -1 + self.lvalue = False + self.var_node = v + + def visit_assignment_stmt(self, s: AssignmentStmt) -> None: + self.lvalue = True + for lv in s.lvalues: + lv.accept(self) + self.lvalue = False + + def visit_name_expr(self, e: NameExpr) -> None: + if self.lvalue and e.node is self.var_node: + self.last_line = max(self.last_line, e.line) + + def visit_member_expr(self, e: MemberExpr) -> None: + old_lvalue = self.lvalue + self.lvalue = False + super().visit_member_expr(e) + self.lvalue = old_lvalue + + def visit_index_expr(self, e: IndexExpr) -> None: + old_lvalue = self.lvalue + self.lvalue = False + super().visit_index_expr(e) + self.lvalue = old_lvalue + + def visit_with_stmt(self, s: WithStmt) -> None: + self.lvalue = True + for lv in s.target: + if lv is not None: + lv.accept(self) + self.lvalue = False + s.body.accept(self) + + def visit_for_stmt(self, s: ForStmt) -> None: + self.lvalue = True + s.index.accept(self) + self.lvalue = False + s.body.accept(self) + if s.else_body: + s.else_body.accept(self) + + def visit_assignment_expr(self, e: AssignmentExpr) -> None: + self.lvalue = True + e.target.accept(self) + self.lvalue = False + e.value.accept(self) + + def visit_as_pattern(self, p: AsPattern) -> None: + if p.pattern is not None: + p.pattern.accept(self) + if p.name is not None: + self.lvalue = True + p.name.accept(self) + self.lvalue = False + + def visit_starred_pattern(self, p: StarredPattern) -> None: + if p.capture is not None: + self.lvalue = True + p.capture.accept(self) + self.lvalue = False + + +def ambiguous_enum_equality_keys(t: Type) -> set[str]: + """ + Used when narrowing types based on equality. + + Certain kinds of enums can compare equal to values of other types, so doing type math + the way `conditional_types` does will be misleading if you expect it to correspond to + conditions based on equality comparisons. + + For example, StrEnum classes can compare equal to str values. So if we see + `val: StrEnum; if val == "foo": ...` we currently avoid narrowing. + Note that we do wish to continue narrowing for `if val == StrEnum.MEMBER: ...` + """ + # We need these things for this to be ambiguous: + # (1) an IntEnum or StrEnum type or enum subclass of int or str + # (2) either a different IntEnum/StrEnum type or a non-enum type ("") + result = set() + t = get_proper_type(t) + if isinstance(t, UnionType): + for item in t.items: + result.update(ambiguous_enum_equality_keys(item)) + elif isinstance(t, Instance): + if t.last_known_value: + result.update(ambiguous_enum_equality_keys(t.last_known_value)) + elif t.type.is_enum and any( + base.fullname in ("enum.IntEnum", "enum.StrEnum", "builtins.str", "builtins.int") + for base in t.type.mro + ): + result.add(t.type.fullname) + elif not t.type.is_enum: + # These might compare equal to IntEnum/StrEnum types (e.g. Decimal), so + # let's be conservative + result.add("") + elif isinstance(t, LiteralType): + result.update(ambiguous_enum_equality_keys(t.fallback)) + elif isinstance(t, NoneType): + pass + else: + result.add("") + return result + + +def is_typeddict_type_context(lvalue_type: Type) -> bool: + lvalue_type = get_proper_type(lvalue_type) + if isinstance(lvalue_type, TypedDictType): + return True + if isinstance(lvalue_type, UnionType): + for item in lvalue_type.items: + if is_typeddict_type_context(item): + return True + return False + + +def is_method(node: SymbolNode | None) -> bool: + if isinstance(node, OverloadedFuncDef): + return not node.is_property + if isinstance(node, Decorator): + return not node.var.is_property + return isinstance(node, FuncDef) diff --git a/micromamba_root/Lib/site-packages/mypy/checker_shared.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checker_shared.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..968ea9ddf54d975c639423294ea298bc140f759b Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checker_shared.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checker_shared.py b/micromamba_root/Lib/site-packages/mypy/checker_shared.py new file mode 100644 index 0000000000000000000000000000000000000000..55d9e15764178f8599b9f366b8879d37069afbc2 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checker_shared.py @@ -0,0 +1,365 @@ +"""Shared definitions used by different parts of type checker.""" + +from __future__ import annotations + +from abc import abstractmethod +from collections.abc import Iterator, Sequence, Set as AbstractSet +from contextlib import contextmanager +from typing import NamedTuple, overload + +from mypy_extensions import trait + +from mypy.errorcodes import ErrorCode +from mypy.errors import ErrorWatcher +from mypy.message_registry import ErrorMessage +from mypy.nodes import ( + ArgKind, + Context, + Expression, + FuncItem, + LambdaExpr, + MypyFile, + Node, + RefExpr, + SymbolNode, + TypeInfo, + Var, +) +from mypy.plugin import CheckerPluginInterface, Plugin +from mypy.types import ( + CallableType, + Instance, + LiteralValue, + Overloaded, + PartialType, + TupleType, + Type, + TypedDictType, + TypeType, +) +from mypy.typevars import fill_typevars + + +# An object that represents either a precise type or a type with an upper bound; +# it is important for correct type inference with isinstance. +class TypeRange(NamedTuple): + item: Type + is_upper_bound: bool # False => precise type + + +@trait +class ExpressionCheckerSharedApi: + @abstractmethod + def accept( + self, + node: Expression, + type_context: Type | None = None, + allow_none_return: bool = False, + always_allow_any: bool = False, + is_callee: bool = False, + ) -> Type: + raise NotImplementedError + + @abstractmethod + def analyze_ref_expr(self, e: RefExpr, lvalue: bool = False) -> Type: + raise NotImplementedError + + @abstractmethod + def check_call( + self, + callee: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None = None, + callable_node: Expression | None = None, + callable_name: str | None = None, + object_type: Type | None = None, + original_type: Type | None = None, + ) -> tuple[Type, Type]: + raise NotImplementedError + + @abstractmethod + def transform_callee_type( + self, + callable_name: str | None, + callee: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None = None, + object_type: Type | None = None, + ) -> Type: + raise NotImplementedError + + @abstractmethod + def method_fullname(self, object_type: Type, method_name: str) -> str | None: + raise NotImplementedError + + @abstractmethod + def check_method_call_by_name( + self, + method: str, + base_type: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + original_type: Type | None = None, + ) -> tuple[Type, Type]: + raise NotImplementedError + + @abstractmethod + def visit_typeddict_index_expr( + self, td_type: TypedDictType, index: Expression, setitem: bool = False + ) -> tuple[Type, set[str]]: + raise NotImplementedError + + @abstractmethod + def infer_literal_expr_type(self, value: LiteralValue, fallback_name: str) -> Type: + raise NotImplementedError + + @abstractmethod + def analyze_static_reference( + self, + node: SymbolNode, + ctx: Context, + is_lvalue: bool, + *, + include_modules: bool = True, + suppress_errors: bool = False, + ) -> Type: + raise NotImplementedError + + +@trait +class TypeCheckerSharedApi(CheckerPluginInterface): + plugin: Plugin + module_refs: set[str] + scope: CheckerScope + checking_missing_await: bool + allow_constructor_cache: bool + + @property + @abstractmethod + def expr_checker(self) -> ExpressionCheckerSharedApi: + raise NotImplementedError + + @abstractmethod + def named_type(self, name: str) -> Instance: + raise NotImplementedError + + @abstractmethod + def lookup_typeinfo(self, fullname: str) -> TypeInfo: + raise NotImplementedError + + @abstractmethod + def lookup_type(self, node: Expression) -> Type: + raise NotImplementedError + + @abstractmethod + def handle_cannot_determine_type(self, name: str, context: Context) -> None: + raise NotImplementedError + + @abstractmethod + def handle_partial_var_type( + self, typ: PartialType, is_lvalue: bool, node: Var, context: Context + ) -> Type: + raise NotImplementedError + + @overload + @abstractmethod + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: str, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + code: ErrorCode | None = None, + outer_context: Context | None = None, + ) -> bool: ... + + @overload + @abstractmethod + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: ErrorMessage, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + outer_context: Context | None = None, + ) -> bool: ... + + # Unfortunately, mypyc doesn't support abstract overloads yet. + @abstractmethod + def check_subtype( + self, + subtype: Type, + supertype: Type, + context: Context, + msg: str | ErrorMessage, + subtype_label: str | None = None, + supertype_label: str | None = None, + *, + notes: list[str] | None = None, + code: ErrorCode | None = None, + outer_context: Context | None = None, + ) -> bool: + raise NotImplementedError + + @abstractmethod + def get_final_context(self) -> bool: + raise NotImplementedError + + @overload + @abstractmethod + def conditional_types_with_intersection( + self, + expr_type: Type, + type_ranges: list[TypeRange] | None, + ctx: Context, + default: None = None, + ) -> tuple[Type | None, Type | None]: ... + + @overload + @abstractmethod + def conditional_types_with_intersection( + self, expr_type: Type, type_ranges: list[TypeRange] | None, ctx: Context, default: Type + ) -> tuple[Type, Type]: ... + + # Unfortunately, mypyc doesn't support abstract overloads yet. + @abstractmethod + def conditional_types_with_intersection( + self, + expr_type: Type, + type_ranges: list[TypeRange] | None, + ctx: Context, + default: Type | None = None, + ) -> tuple[Type | None, Type | None]: + raise NotImplementedError + + @abstractmethod + def narrow_type_by_identity_equality( + self, + operator: str, + operands: list[Expression], + operand_types: list[Type], + expr_indices: list[int], + narrowable_indices: AbstractSet[int], + ) -> tuple[dict[Expression, Type] | None, dict[Expression, Type] | None]: + raise NotImplementedError + + @abstractmethod + def check_deprecated(self, node: Node | None, context: Context) -> None: + raise NotImplementedError + + @abstractmethod + def warn_deprecated(self, node: Node | None, context: Context) -> None: + raise NotImplementedError + + @abstractmethod + def type_is_iterable(self, type: Type) -> bool: + raise NotImplementedError + + @abstractmethod + def iterable_item_type( + self, it: Instance | CallableType | TypeType | Overloaded, context: Context + ) -> Type: + raise NotImplementedError + + @abstractmethod + @contextmanager + def checking_await_set(self) -> Iterator[None]: + raise NotImplementedError + + @abstractmethod + def get_precise_awaitable_type(self, typ: Type, local_errors: ErrorWatcher) -> Type | None: + raise NotImplementedError + + @abstractmethod + def add_any_attribute_to_type(self, typ: Type, name: str) -> Type: + raise NotImplementedError + + @abstractmethod + def is_defined_in_stub(self, typ: Instance, /) -> bool: + raise NotImplementedError + + +class CheckerScope: + # We keep two stacks combined, to maintain the relative order + stack: list[TypeInfo | FuncItem | MypyFile] + + def __init__(self, module: MypyFile) -> None: + self.stack = [module] + + def current_function(self) -> FuncItem | None: + for e in reversed(self.stack): + if isinstance(e, FuncItem): + return e + return None + + def top_level_function(self) -> FuncItem | None: + """Return top-level non-lambda function.""" + for e in self.stack: + if isinstance(e, FuncItem) and not isinstance(e, LambdaExpr): + return e + return None + + def active_class(self) -> TypeInfo | None: + if isinstance(self.stack[-1], TypeInfo): + return self.stack[-1] + return None + + def enclosing_class(self, func: FuncItem | None = None) -> TypeInfo | None: + """Is there a class *directly* enclosing this function?""" + func = func or self.current_function() + assert func, "This method must be called from inside a function" + index = self.stack.index(func) + assert index, "CheckerScope stack must always start with a module" + enclosing = self.stack[index - 1] + if isinstance(enclosing, TypeInfo): + return enclosing + return None + + def active_self_type(self) -> Instance | TupleType | None: + """An instance or tuple type representing the current class. + + This returns None unless we are in class body or in a method. + In particular, inside a function nested in method this returns None. + """ + info = self.active_class() + if not info and self.current_function(): + info = self.enclosing_class() + if info: + return fill_typevars(info) + return None + + def current_self_type(self) -> Instance | TupleType | None: + """Same as active_self_type() but handle functions nested in methods.""" + for item in reversed(self.stack): + if isinstance(item, TypeInfo): + return fill_typevars(item) + return None + + def is_top_level(self) -> bool: + """Is current scope top-level (no classes or functions)?""" + return len(self.stack) == 1 + + @contextmanager + def push_function(self, item: FuncItem) -> Iterator[None]: + self.stack.append(item) + yield + self.stack.pop() + + @contextmanager + def push_class(self, info: TypeInfo) -> Iterator[None]: + self.stack.append(info) + yield + self.stack.pop() diff --git a/micromamba_root/Lib/site-packages/mypy/checker_state.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checker_state.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..a74e59aac135afaa713e5e3d4f6020d3b055473a Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checker_state.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checker_state.py b/micromamba_root/Lib/site-packages/mypy/checker_state.py new file mode 100644 index 0000000000000000000000000000000000000000..9b988ad18ba4f7cc46e1946f8a6f2343da322084 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checker_state.py @@ -0,0 +1,30 @@ +from __future__ import annotations + +from collections.abc import Iterator +from contextlib import contextmanager +from typing import Final + +from mypy.checker_shared import TypeCheckerSharedApi + +# This is global mutable state. Don't add anything here unless there's a very +# good reason. + + +class TypeCheckerState: + # Wrap this in a class since it's faster that using a module-level attribute. + + def __init__(self, type_checker: TypeCheckerSharedApi | None) -> None: + # Value varies by file being processed + self.type_checker = type_checker + + @contextmanager + def set(self, value: TypeCheckerSharedApi) -> Iterator[None]: + saved = self.type_checker + self.type_checker = value + try: + yield + finally: + self.type_checker = saved + + +checker_state: Final = TypeCheckerState(type_checker=None) diff --git a/micromamba_root/Lib/site-packages/mypy/checkexpr.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checkexpr.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..f3430217062f83736c0a43cd760eb22ce8419ca7 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checkexpr.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checkexpr.py b/micromamba_root/Lib/site-packages/mypy/checkexpr.py new file mode 100644 index 0000000000000000000000000000000000000000..84d8fa67fd177453f3dbb85c344e7a80fb981cd8 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checkexpr.py @@ -0,0 +1,6904 @@ +"""Expression type checker. This file is conceptually part of TypeChecker.""" + +from __future__ import annotations + +import enum +import itertools +import time +from collections import defaultdict +from collections.abc import Callable, Iterable, Iterator, Sequence +from contextlib import contextmanager, nullcontext +from typing import ClassVar, Final, TypeAlias as _TypeAlias, cast, overload +from typing_extensions import assert_never + +import mypy.checker +import mypy.errorcodes as codes +from mypy import applytype, erasetype, join, message_registry, nodes, operators, types +from mypy.argmap import ArgTypeExpander, map_actuals_to_formals, map_formals_to_actuals +from mypy.checker_shared import ExpressionCheckerSharedApi +from mypy.checkmember import analyze_member_access, has_operator +from mypy.checkstrformat import StringFormatterChecker +from mypy.constant_fold import constant_fold_expr +from mypy.erasetype import erase_type, remove_instance_last_known_values, replace_meta_vars +from mypy.errors import ErrorInfo, ErrorWatcher, report_internal_error +from mypy.expandtype import ( + expand_type, + expand_type_by_instance, + freshen_all_functions_type_vars, + freshen_function_type_vars, +) +from mypy.exprtotype import TypeTranslationError, expr_to_unanalyzed_type +from mypy.infer import ArgumentInferContext, infer_function_type_arguments, infer_type_arguments +from mypy.literals import literal +from mypy.lookup import lookup_fully_qualified +from mypy.maptype import map_instance_to_supertype +from mypy.meet import is_overlapping_types, narrow_declared_type +from mypy.message_registry import ErrorMessage +from mypy.messages import MessageBuilder, format_type +from mypy.nodes import ( + ARG_NAMED, + ARG_POS, + ARG_STAR, + ARG_STAR2, + IMPLICITLY_ABSTRACT, + LAMBDA_NAME, + LITERAL_TYPE, + REVEAL_LOCALS, + REVEAL_TYPE, + UNBOUND_IMPORTED, + ArgKind, + AssertTypeExpr, + AssignmentExpr, + AwaitExpr, + BytesExpr, + CallExpr, + CastExpr, + ComparisonExpr, + ComplexExpr, + ConditionalExpr, + Context, + Decorator, + DictExpr, + DictionaryComprehension, + EllipsisExpr, + EnumCallExpr, + Expression, + FloatExpr, + FuncDef, + GeneratorExpr, + IndexExpr, + IntExpr, + LambdaExpr, + ListComprehension, + ListExpr, + MaybeTypeExpression, + MemberExpr, + MypyFile, + NamedTupleExpr, + NameExpr, + NewTypeExpr, + NotParsed, + OpExpr, + OverloadedFuncDef, + ParamSpecExpr, + PlaceholderNode, + PromoteExpr, + RefExpr, + RevealExpr, + SetComprehension, + SetExpr, + SliceExpr, + StarExpr, + StrExpr, + SuperExpr, + SymbolNode, + SymbolTableNode, + TemplateStrExpr, + TempNode, + TupleExpr, + TypeAlias, + TypeAliasExpr, + TypeApplication, + TypedDictExpr, + TypeFormExpr, + TypeInfo, + TypeVarExpr, + TypeVarLikeExpr, + TypeVarTupleExpr, + UnaryExpr, + Var, + YieldExpr, + YieldFromExpr, + get_member_expr_fullname, +) +from mypy.options import PRECISE_TUPLE_TYPES +from mypy.plugin import ( + FunctionContext, + FunctionSigContext, + MethodContext, + MethodSigContext, + Plugin, +) +from mypy.semanal_enum import ENUM_BASES +from mypy.state import state +from mypy.subtypes import ( + covers_at_runtime, + find_member, + is_equivalent, + is_same_type, + is_subtype, + non_method_protocol_members, +) +from mypy.traverser import ( + all_name_and_member_expressions, + has_await_expression, + has_str_expression, +) +from mypy.tvar_scope import TypeVarLikeScope +from mypy.typeanal import ( + TypeAnalyser, + check_for_explicit_any, + fix_instance, + has_any_from_unimported_type, + instantiate_type_alias, + make_optional_type, + set_any_tvars, + validate_instance, +) +from mypy.typeops import ( + callable_type, + custom_special_method, + erase_to_union_or_bound, + false_only, + fixup_partial_type, + freeze_all_type_vars, + function_type, + get_all_type_vars, + get_type_vars, + is_literal_type_like, + make_simplified_union, + true_only, + try_expanding_sum_type_to_union, + try_getting_str_literals, + tuple_fallback, + type_object_type, +) +from mypy.types import ( + LITERAL_TYPE_NAMES, + TUPLE_LIKE_INSTANCE_NAMES, + AnyType, + CallableType, + DeletedType, + ErasedType, + ExtraAttrs, + FunctionLike, + Instance, + LiteralType, + LiteralValue, + NoneType, + Overloaded, + Parameters, + ParamSpecFlavor, + ParamSpecType, + PartialType, + ProperType, + TupleType, + Type, + TypeAliasType, + TypedDictType, + TypeOfAny, + TypeType, + TypeVarId, + TypeVarLikeType, + TypeVarTupleType, + TypeVarType, + UnboundType, + UninhabitedType, + UnionType, + UnpackType, + find_unpack_in_list, + flatten_nested_tuples, + flatten_nested_unions, + get_proper_type, + get_proper_types, + has_recursive_types, + has_type_vars, + is_named_instance, + split_with_prefix_and_suffix, +) +from mypy.types_utils import ( + is_generic_instance, + is_overlapping_none, + is_self_type_like, + remove_optional, +) +from mypy.typestate import type_state +from mypy.typevars import fill_typevars +from mypy.visitor import ExpressionVisitor + +# Type of callback user for checking individual function arguments. See +# check_args() below for details. +ArgChecker: _TypeAlias = Callable[ + [Type, Type, ArgKind, Type, int, int, CallableType, Type | None, Context, Context], None +] + +# Maximum nesting level for math union in overloads, setting this to large values +# may cause performance issues. The reason is that although union math algorithm we use +# nicely captures most corner cases, its worst case complexity is exponential, +# see https://github.com/python/mypy/pull/5255#discussion_r196896335 for discussion. +MAX_UNIONS: Final = 5 + + +# Types considered safe for comparisons with --strict-equality due to known behaviour of __eq__. +# NOTE: All these types are subtypes of AbstractSet. +OVERLAPPING_TYPES_ALLOWLIST: Final = [ + "builtins.set", + "builtins.frozenset", + "typing.KeysView", + "typing.ItemsView", + "_collections_abc.dict_keys", + "_collections_abc.dict_items", +] +OVERLAPPING_BYTES_ALLOWLIST: Final = { + "builtins.bytes", + "builtins.bytearray", + "builtins.memoryview", +} + + +class TooManyUnions(Exception): + """Indicates that we need to stop splitting unions in an attempt + to match an overload in order to save performance. + """ + + +def allow_fast_container_literal(t: Type) -> bool: + if isinstance(t, TypeAliasType) and t.is_recursive: + return False + t = get_proper_type(t) + return isinstance(t, Instance) or ( + isinstance(t, TupleType) and all(allow_fast_container_literal(it) for it in t.items) + ) + + +class Finished(Exception): + """Raised if we can terminate overload argument check early (no match).""" + + +@enum.unique +class UseReverse(enum.Enum): + """Used in `visit_op_expr` to enable or disable reverse method checks.""" + + DEFAULT = 0 + ALWAYS = 1 + NEVER = 2 + + +USE_REVERSE_DEFAULT: Final = UseReverse.DEFAULT +USE_REVERSE_ALWAYS: Final = UseReverse.ALWAYS +USE_REVERSE_NEVER: Final = UseReverse.NEVER + + +class ExpressionChecker(ExpressionVisitor[Type], ExpressionCheckerSharedApi): + """Expression type checker. + + This class works closely together with checker.TypeChecker. + """ + + # Some services are provided by a TypeChecker instance. + chk: mypy.checker.TypeChecker + # This is shared with TypeChecker, but stored also here for convenience. + msg: MessageBuilder + # Type context for type inference + type_context: list[Type | None] + + strfrm_checker: StringFormatterChecker + plugin: Plugin + + _arg_infer_context_cache: ArgumentInferContext | None + + def __init__( + self, + chk: mypy.checker.TypeChecker, + msg: MessageBuilder, + plugin: Plugin, + per_line_checking_time_ns: dict[int, int], + ) -> None: + """Construct an expression type checker.""" + self.chk = chk + self.msg = msg + self.plugin = plugin + self.per_line_checking_time_ns = per_line_checking_time_ns + self.collect_line_checking_stats = chk.options.line_checking_stats is not None + # Are we already visiting some expression? This is used to avoid double counting + # time for nested expressions. + self.in_expression = False + self.type_context = [None] + + # Temporary overrides for expression types. This is currently + # used by the union math in overloads. + # TODO: refactor this to use a pattern similar to one in + # multiassign_from_union, or maybe even combine the two? + self.type_overrides: dict[Expression, Type] = {} + self.strfrm_checker = StringFormatterChecker(self.chk, self.msg) + + # Callee in a call expression is in some sense both runtime context and + # type context, because we support things like C[int](...). Store information + # on whether current expression is a callee, to give better error messages + # related to type context. + self.is_callee = False + type_state.infer_polymorphic = not self.chk.options.old_type_inference + + self._arg_infer_context_cache = None + self.expr_cache: dict[ + tuple[Expression, Type | None], + tuple[int, Type, list[ErrorInfo], dict[Expression, Type]], + ] = {} + self.in_lambda_expr = False + + self._literal_true: Instance | None = None + self._literal_false: Instance | None = None + + def reset(self) -> None: + self.expr_cache.clear() + + def visit_name_expr(self, e: NameExpr) -> Type: + """Type check a name expression. + + It can be of any kind: local, member or global. + """ + result = self.analyze_ref_expr(e) + narrowed = self.narrow_type_from_binder(e, result) + self.chk.check_deprecated(e.node, e) + return narrowed + + def analyze_ref_expr(self, e: RefExpr, lvalue: bool = False) -> Type: + result: Type | None = None + node = e.node + + if isinstance(e, NameExpr) and e.is_special_form: + # A special form definition, nothing to check here. + return AnyType(TypeOfAny.special_form) + + if isinstance(node, Var): + # Variable reference. + result = self.analyze_var_ref(node, e) + if isinstance(result, PartialType): + result = self.chk.handle_partial_var_type(result, lvalue, node, e) + elif isinstance(node, Decorator): + result = self.analyze_var_ref(node.var, e) + elif isinstance(node, OverloadedFuncDef): + if node.type is None: + if self.chk.in_checked_function() and node.items: + self.chk.handle_cannot_determine_type(node.name, e) + result = AnyType(TypeOfAny.from_error) + else: + result = node.type + elif isinstance(node, (FuncDef, TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): + result = self.analyze_static_reference(node, e, e.is_alias_rvalue or lvalue) + else: + if isinstance(node, PlaceholderNode): + assert False, f"PlaceholderNode {node.fullname!r} leaked to checker" + # Unknown reference; use any type implicitly to avoid + # generating extra type errors. + result = AnyType(TypeOfAny.from_error) + if isinstance(node, TypeInfo): + if isinstance(result, CallableType) and isinstance( # type: ignore[misc] + result.ret_type, Instance + ): + # We need to set correct line and column + # TODO: always do this in type_object_type by passing the original context + result.ret_type.line = e.line + result.ret_type.column = e.column + if is_type_type_context(self.type_context[-1]): + # This is the type in a type[] expression, so substitute type + # variables with Any. + result = erasetype.erase_typevars(result) + assert result is not None + return result + + def analyze_static_reference( + self, + node: SymbolNode, + ctx: Context, + is_lvalue: bool, + *, + include_modules: bool = True, + suppress_errors: bool = False, + ) -> Type: + """ + This is the version of analyze_ref_expr() that doesn't do any deferrals. + + This function can be used by member access to "static" attributes. For example, + when accessing module attributes in protocol checks, or accessing attributes of + special kinds (like TypeAlias, TypeInfo, etc.) on an instance or class object. + # TODO: merge with analyze_ref_expr() when we are confident about performance. + """ + if isinstance(node, (Var, Decorator, OverloadedFuncDef)): + return node.type or AnyType(TypeOfAny.special_form) + elif isinstance(node, FuncDef): + return function_type(node, self.named_type("builtins.function")) + elif isinstance(node, TypeInfo): + # Reference to a type object. + if node.typeddict_type: + # We special-case TypedDict, because they don't define any constructor. + return self.typeddict_callable(node) + elif node.fullname == "types.NoneType": + # We special case NoneType, because its stub definition is not related to None. + return TypeType(NoneType()) + else: + return type_object_type(node, self.named_type) + elif isinstance(node, TypeAlias): + # Something that refers to a type alias appears in runtime context. + # Note that we suppress bogus errors for alias redefinitions, + # they are already reported in semanal.py. + with self.msg.filter_errors() if suppress_errors else nullcontext(): + return self.alias_type_in_runtime_context( + node, ctx=ctx, alias_definition=is_lvalue + ) + elif isinstance(node, TypeVarExpr): + return self.named_type("typing.TypeVar") + elif isinstance(node, (ParamSpecExpr, TypeVarTupleExpr)): + return self.object_type() + elif isinstance(node, MypyFile): + # Reference to a module object. + return self.module_type(node) if include_modules else AnyType(TypeOfAny.special_form) + return AnyType(TypeOfAny.from_error) + + def analyze_var_ref(self, var: Var, context: Context) -> Type: + if var.type: + var_type = get_proper_type(var.type) + if isinstance(var_type, Instance): + if var.fullname == "typing.Any": + # The typeshed type is 'object'; give a more useful type in runtime context + return self.named_type("typing._SpecialForm") + if self.is_literal_context() and var_type.last_known_value is not None: + return var_type.last_known_value + if var.name in {"True", "False"}: + return self.infer_literal_expr_type(var.name == "True", "builtins.bool") + return var.type + else: + if not var.is_ready and self.chk.in_checked_function(): + self.chk.handle_cannot_determine_type(var.name, context) + # Implicit 'Any' type. + return AnyType(TypeOfAny.special_form) + + def module_type(self, node: MypyFile) -> Instance: + try: + result = self.named_type("types.ModuleType") + except KeyError: + # In test cases might 'types' may not be available. + # Fall back to a dummy 'object' type instead to + # avoid a crash. + # Make a copy so that we don't set extra_attrs (below) on a shared instance. + result = self.named_type("builtins.object").copy_modified() + module_attrs: dict[str, Type] = {} + immutable = set() + for name, n in node.names.items(): + if not n.module_public: + continue + if isinstance(n.node, Var) and n.node.is_final: + immutable.add(name) + if n.node is None: + module_attrs[name] = AnyType(TypeOfAny.from_error) + else: + # TODO: what to do about nested module references? + # They are non-trivial because there may be import cycles. + module_attrs[name] = self.analyze_static_reference( + n.node, n.node, False, include_modules=False, suppress_errors=True + ) + result.extra_attrs = ExtraAttrs(module_attrs, immutable, node.fullname) + return result + + def visit_call_expr(self, e: CallExpr, allow_none_return: bool = False) -> Type: + """Type check a call expression.""" + if e.analyzed: + if isinstance(e.analyzed, NamedTupleExpr) and not e.analyzed.is_typed: + # Type check the arguments, but ignore the results. This relies + # on the typeshed stubs to type check the arguments. + self.visit_call_expr_inner(e) + # It's really a special form that only looks like a call. + return self.accept(e.analyzed, self.type_context[-1]) + return self.visit_call_expr_inner(e, allow_none_return=allow_none_return) + + def refers_to_typeddict(self, base: Expression) -> bool: + if not isinstance(base, RefExpr): + return False + if isinstance(base.node, TypeInfo) and base.node.typeddict_type is not None: + # Direct reference. + return True + return isinstance(base.node, TypeAlias) and isinstance( + get_proper_type(base.node.target), TypedDictType + ) + + def visit_call_expr_inner(self, e: CallExpr, allow_none_return: bool = False) -> Type: + if ( + self.refers_to_typeddict(e.callee) + or isinstance(e.callee, IndexExpr) + and self.refers_to_typeddict(e.callee.base) + ): + typeddict_callable = get_proper_type(self.accept(e.callee, is_callee=True)) + if isinstance(typeddict_callable, CallableType): + typeddict_type = get_proper_type(typeddict_callable.ret_type) + assert isinstance(typeddict_type, TypedDictType) + return self.check_typeddict_call( + typeddict_type, e.arg_kinds, e.arg_names, e.args, e, typeddict_callable + ) + if ( + isinstance(e.callee, NameExpr) + and e.callee.name in ("isinstance", "issubclass") + and len(e.args) == 2 + ): + for typ in mypy.checker.flatten(e.args[1]): + node = None + if isinstance(typ, NameExpr): + try: + node = self.chk.lookup_qualified(typ.name) + except KeyError: + # Undefined names should already be reported in semantic analysis. + pass + if is_expr_literal_type(typ): + self.msg.cannot_use_function_with_type(e.callee.name, "Literal", e) + continue + if node and isinstance(node.node, TypeAlias): + target = get_proper_type(node.node.target) + if isinstance(target, AnyType): + self.msg.cannot_use_function_with_type(e.callee.name, "Any", e) + continue + if isinstance(target, NoneType): + continue + if ( + isinstance(typ, IndexExpr) + and isinstance(typ.analyzed, (TypeApplication, TypeAliasExpr)) + ) or ( + isinstance(typ, NameExpr) + and node + and isinstance(node.node, TypeAlias) + and not node.node.no_args + and not ( + isinstance(union_target := get_proper_type(node.node.target), UnionType) + and ( + union_target.uses_pep604_syntax + or self.chk.options.python_version >= (3, 10) + ) + ) + ): + self.msg.type_arguments_not_allowed(e) + if isinstance(typ, RefExpr) and isinstance(typ.node, TypeInfo): + if typ.node.typeddict_type: + self.msg.cannot_use_function_with_type(e.callee.name, "TypedDict", e) + elif typ.node.is_newtype: + self.msg.cannot_use_function_with_type(e.callee.name, "NewType", e) + self.try_infer_partial_type(e) + type_context = None + if isinstance(e.callee, LambdaExpr): + formal_to_actual = map_actuals_to_formals( + e.arg_kinds, + e.arg_names, + e.callee.arg_kinds, + e.callee.arg_names, + lambda i: self.accept(e.args[i]), + ) + + arg_types = [ + join.join_type_list([self.accept(e.args[j]) for j in formal_to_actual[i]]) + for i in range(len(e.callee.arg_kinds)) + ] + type_context = CallableType( + arg_types, + e.callee.arg_kinds, + e.callee.arg_names, + ret_type=self.object_type(), + fallback=self.named_type("builtins.function"), + ) + callee_type = get_proper_type( + self.accept(e.callee, type_context, always_allow_any=True, is_callee=True) + ) + + # Figure out the full name of the callee for plugin lookup. + object_type = None + member = None + fullname = None + if isinstance(e.callee, RefExpr): + # There are two special cases where plugins might act: + # * A "static" reference/alias to a class or function; + # get_function_hook() will be invoked for these. + fullname = e.callee.fullname or None + if isinstance(e.callee.node, TypeAlias): + target = get_proper_type(e.callee.node.target) + if isinstance(target, Instance): + fullname = target.type.fullname + # * Call to a method on object that has a full name (see + # method_fullname() for details on supported objects); + # get_method_hook() and get_method_signature_hook() will + # be invoked for these. + if ( + not fullname + and isinstance(e.callee, MemberExpr) + and self.chk.has_type(e.callee.expr) + ): + member = e.callee.name + object_type = self.chk.lookup_type(e.callee.expr) + + if ( + self.chk.options.disallow_untyped_calls + and self.chk.in_checked_function() + and isinstance(callee_type, CallableType) + and callee_type.implicit + and callee_type.name != LAMBDA_NAME + ): + if fullname is None and member is not None: + assert object_type is not None + fullname = self.method_fullname(object_type, member) + if not fullname or not any( + fullname == p or fullname.startswith(f"{p}.") + for p in self.chk.options.untyped_calls_exclude + ): + self.msg.untyped_function_call(callee_type, e) + + ret_type = self.check_call_expr_with_callee_type( + callee_type, e, fullname, object_type, member + ) + if isinstance(e.callee, RefExpr) and len(e.args) == 2: + if e.callee.fullname in ("builtins.isinstance", "builtins.issubclass"): + self.check_runtime_protocol_test(e) + if e.callee.fullname == "builtins.issubclass": + self.check_protocol_issubclass(e) + if isinstance(e.callee, MemberExpr) and e.callee.name == "format": + self.check_str_format_call(e) + ret_type = get_proper_type(ret_type) + if isinstance(ret_type, UnionType): + ret_type = make_simplified_union(ret_type.items) + if isinstance(ret_type, UninhabitedType) and not ret_type.ambiguous: + self.chk.binder.unreachable() + # Warn on calls to functions that always return None. The check + # of ret_type is both a common-case optimization and prevents reporting + # the error in dynamic functions (where it will be Any). + if ( + not allow_none_return + and isinstance(ret_type, NoneType) + and self.always_returns_none(e.callee) + ): + self.chk.msg.does_not_return_value(callee_type, e) + return ret_type + + def check_str_format_call(self, e: CallExpr) -> None: + """More precise type checking for str.format() calls on literals and folded constants.""" + assert isinstance(e.callee, MemberExpr) + format_value = None + folded_callee_expr = constant_fold_expr(e.callee.expr, "") + if isinstance(folded_callee_expr, str): + format_value = folded_callee_expr + elif self.chk.has_type(e.callee.expr): + typ = get_proper_type(self.chk.lookup_type(e.callee.expr)) + if ( + isinstance(typ, Instance) + and typ.type.is_enum + and isinstance(typ.last_known_value, LiteralType) + and isinstance(typ.last_known_value.value, str) + ): + value_type = typ.type.names[typ.last_known_value.value].type + if isinstance(value_type, Type): + typ = get_proper_type(value_type) + base_typ = try_getting_literal(typ) + if isinstance(base_typ, LiteralType) and isinstance(base_typ.value, str): + format_value = base_typ.value + if format_value is not None: + self.strfrm_checker.check_str_format_call(e, format_value) + + def method_fullname(self, object_type: Type, method_name: str) -> str | None: + """Convert a method name to a fully qualified name, based on the type of the object that + it is invoked on. Return `None` if the name of `object_type` cannot be determined. + """ + object_type = get_proper_type(object_type) + + if isinstance(object_type, CallableType) and object_type.is_type_obj(): + # For class method calls, object_type is a callable representing the class object. + # We "unwrap" it to a regular type, as the class/instance method difference doesn't + # affect the fully qualified name. + object_type = get_proper_type(object_type.ret_type) + elif isinstance(object_type, TypeType): + object_type = object_type.item + + type_name = None + if isinstance(object_type, Instance): + type_name = object_type.type.fullname + elif isinstance(object_type, (TypedDictType, LiteralType)): + info = object_type.fallback.type.get_containing_type_info(method_name) + type_name = info.fullname if info is not None else None + elif isinstance(object_type, TupleType): + type_name = tuple_fallback(object_type).type.fullname + + if type_name: + return f"{type_name}.{method_name}" + else: + return None + + def always_returns_none(self, node: Expression) -> bool: + """Check if `node` refers to something explicitly annotated as only returning None.""" + if isinstance(node, RefExpr): + if self.defn_returns_none(node.node): + return True + if isinstance(node, MemberExpr) and node.node is None: # instance or class attribute + typ = get_proper_type(self.chk.lookup_type(node.expr)) + if isinstance(typ, Instance): + info = typ.type + elif isinstance(typ, CallableType) and typ.is_type_obj(): + ret_type = get_proper_type(typ.ret_type) + if isinstance(ret_type, Instance): + info = ret_type.type + else: + return False + else: + return False + sym = info.get(node.name) + if sym and self.defn_returns_none(sym.node): + return True + return False + + def defn_returns_none(self, defn: SymbolNode | None) -> bool: + """Check if `defn` can _only_ return None.""" + if isinstance(defn, FuncDef): + return isinstance(defn.type, CallableType) and isinstance( + get_proper_type(defn.type.ret_type), NoneType + ) + if isinstance(defn, OverloadedFuncDef): + return all(self.defn_returns_none(item) for item in defn.items) + if isinstance(defn, Var): + typ = get_proper_type(defn.type) + if ( + not defn.is_inferred + and isinstance(typ, CallableType) + and isinstance(get_proper_type(typ.ret_type), NoneType) + ): + return True + if isinstance(typ, Instance): + sym = typ.type.get("__call__") + if sym and self.defn_returns_none(sym.node): + return True + return False + + def check_runtime_protocol_test(self, e: CallExpr) -> None: + for expr in mypy.checker.flatten(e.args[1]): + tp = get_proper_type(self.chk.lookup_type(expr)) + if ( + isinstance(tp, FunctionLike) + and tp.is_type_obj() + and tp.type_object().is_protocol + and not tp.type_object().runtime_protocol + ): + self.chk.fail(message_registry.RUNTIME_PROTOCOL_EXPECTED, e) + + def check_protocol_issubclass(self, e: CallExpr) -> None: + for expr in mypy.checker.flatten(e.args[1]): + tp = get_proper_type(self.chk.lookup_type(expr)) + if isinstance(tp, FunctionLike) and tp.is_type_obj() and tp.type_object().is_protocol: + attr_members = non_method_protocol_members(tp.type_object()) + if attr_members: + self.chk.msg.report_non_method_protocol(tp.type_object(), attr_members, e) + + def check_typeddict_call( + self, + callee: TypedDictType, + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None], + args: list[Expression], + context: Context, + orig_callee: Type | None, + ) -> Type: + if args and all(ak in (ARG_NAMED, ARG_STAR2) for ak in arg_kinds): + # ex: Point(x=42, y=1337, **extras) + # This is a bit ugly, but this is a price for supporting all possible syntax + # variants for TypedDict constructors. + kwargs = zip([StrExpr(n) if n is not None else None for n in arg_names], args) + result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) + if result is not None: + validated_kwargs, always_present_keys = result + return self.check_typeddict_call_with_kwargs( + callee, validated_kwargs, context, orig_callee, always_present_keys + ) + return AnyType(TypeOfAny.from_error) + + if len(args) == 1 and arg_kinds[0] == ARG_POS: + unique_arg = args[0] + if isinstance(unique_arg, DictExpr): + # ex: Point({'x': 42, 'y': 1337, **extras}) + return self.check_typeddict_call_with_dict( + callee, unique_arg.items, context, orig_callee + ) + if isinstance(unique_arg, CallExpr) and isinstance(unique_arg.analyzed, DictExpr): + # ex: Point(dict(x=42, y=1337, **extras)) + return self.check_typeddict_call_with_dict( + callee, unique_arg.analyzed.items, context, orig_callee + ) + + if not args: + # ex: EmptyDict() + return self.check_typeddict_call_with_kwargs(callee, {}, context, orig_callee, set()) + + self.chk.fail(message_registry.INVALID_TYPEDDICT_ARGS, context) + return AnyType(TypeOfAny.from_error) + + def validate_typeddict_kwargs( + self, kwargs: Iterable[tuple[Expression | None, Expression]], callee: TypedDictType + ) -> tuple[dict[str, list[Expression]], set[str]] | None: + # All (actual or mapped from ** unpacks) expressions that can match given key. + result = defaultdict(list) + # Keys that are guaranteed to be present no matter what (e.g. for all items of a union) + always_present_keys = set() + # Indicates latest encountered ** unpack among items. + last_star_found = None + + for item_name_expr, item_arg in kwargs: + if item_name_expr: + key_type = self.accept(item_name_expr) + values = try_getting_str_literals(item_name_expr, key_type) + literal_value = None + if values and len(values) == 1: + literal_value = values[0] + if literal_value is None: + key_context = item_name_expr or item_arg + self.chk.fail( + message_registry.TYPEDDICT_KEY_MUST_BE_STRING_LITERAL, + key_context, + code=codes.LITERAL_REQ, + ) + return None + else: + # A directly present key unconditionally shadows all previously found + # values from ** items. + # TODO: for duplicate keys, type-check all values. + result[literal_value] = [item_arg] + always_present_keys.add(literal_value) + else: + last_star_found = item_arg + if not self.validate_star_typeddict_item( + item_arg, callee, result, always_present_keys + ): + return None + if self.chk.options.extra_checks and last_star_found is not None: + absent_keys = [] + for key in callee.items: + if key not in callee.required_keys and key not in result: + absent_keys.append(key) + if absent_keys: + # Having an optional key not explicitly declared by a ** unpacked + # TypedDict is unsafe, it may be an (incompatible) subtype at runtime. + # TODO: catch the cases where a declared key is overridden by a subsequent + # ** item without it (and not again overridden with complete ** item). + self.msg.non_required_keys_absent_with_star(absent_keys, last_star_found) + return result, always_present_keys + + def validate_star_typeddict_item( + self, + item_arg: Expression, + callee: TypedDictType, + result: dict[str, list[Expression]], + always_present_keys: set[str], + ) -> bool: + """Update keys/expressions from a ** expression in TypedDict constructor. + + Note `result` and `always_present_keys` are updated in place. Return true if the + expression `item_arg` may valid in `callee` TypedDict context. + """ + inferred = get_proper_type(self.accept(item_arg, type_context=callee)) + possible_tds = [] + if isinstance(inferred, TypedDictType): + possible_tds = [inferred] + elif isinstance(inferred, UnionType): + for item in get_proper_types(inferred.relevant_items()): + if isinstance(item, TypedDictType): + possible_tds.append(item) + elif not self.valid_unpack_fallback_item(item): + self.msg.unsupported_target_for_star_typeddict(item, item_arg) + return False + elif not self.valid_unpack_fallback_item(inferred): + self.msg.unsupported_target_for_star_typeddict(inferred, item_arg) + return False + all_keys: set[str] = set() + for td in possible_tds: + all_keys |= td.items.keys() + for key in all_keys: + arg = TempNode( + UnionType.make_union([td.items[key] for td in possible_tds if key in td.items]) + ) + arg.set_line(item_arg) + if all(key in td.required_keys for td in possible_tds): + always_present_keys.add(key) + # Always present keys override previously found values. This is done + # to support use cases like `Config({**defaults, **overrides})`, where + # some `overrides` types are narrower that types in `defaults`, and + # former are too wide for `Config`. + if result[key]: + first = result[key][0] + if not isinstance(first, TempNode): + # We must always preserve any non-synthetic values, so that + # we will accept them even if they are shadowed. + result[key] = [first, arg] + else: + result[key] = [arg] + else: + result[key] = [arg] + else: + # If this key is not required at least in some item of a union + # it may not shadow previous item, so we need to type check both. + result[key].append(arg) + return True + + def valid_unpack_fallback_item(self, typ: ProperType) -> bool: + if isinstance(typ, AnyType): + return True + if not isinstance(typ, Instance) or not typ.type.has_base("typing.Mapping"): + return False + mapped = map_instance_to_supertype(typ, self.chk.lookup_typeinfo("typing.Mapping")) + return all(isinstance(a, AnyType) for a in get_proper_types(mapped.args)) + + def match_typeddict_call_with_dict( + self, + callee: TypedDictType, + kwargs: list[tuple[Expression | None, Expression]], + context: Context, + ) -> bool: + result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) + if result is not None: + validated_kwargs, _ = result + return callee.required_keys <= set(validated_kwargs.keys()) <= set(callee.items.keys()) + else: + return False + + def check_typeddict_call_with_dict( + self, + callee: TypedDictType, + kwargs: list[tuple[Expression | None, Expression]], + context: Context, + orig_callee: Type | None, + ) -> Type: + result = self.validate_typeddict_kwargs(kwargs=kwargs, callee=callee) + if result is not None: + validated_kwargs, always_present_keys = result + return self.check_typeddict_call_with_kwargs( + callee, + kwargs=validated_kwargs, + context=context, + orig_callee=orig_callee, + always_present_keys=always_present_keys, + ) + else: + return AnyType(TypeOfAny.from_error) + + def typeddict_callable(self, info: TypeInfo) -> CallableType: + """Construct a reasonable type for a TypedDict type in runtime context. + + If it appears as a callee, it will be special-cased anyway, e.g. it is + also allowed to accept a single positional argument if it is a dict literal. + + Note it is not safe to move this to type_object_type() since it will crash + on plugin-generated TypedDicts, that may not have the special_alias. + """ + assert info.special_alias is not None + target = info.special_alias.target + assert isinstance(target, ProperType) and isinstance(target, TypedDictType) + return self.typeddict_callable_from_context(target, info.defn.type_vars) + + def typeddict_callable_from_context( + self, callee: TypedDictType, variables: Sequence[TypeVarLikeType] | None = None + ) -> CallableType: + return CallableType( + list(callee.items.values()), + [ + ArgKind.ARG_NAMED if name in callee.required_keys else ArgKind.ARG_NAMED_OPT + for name in callee.items + ], + list(callee.items.keys()), + callee, + self.named_type("builtins.type"), + variables=variables, + is_bound=True, + ) + + def check_typeddict_call_with_kwargs( + self, + callee: TypedDictType, + kwargs: dict[str, list[Expression]], + context: Context, + orig_callee: Type | None, + always_present_keys: set[str], + ) -> Type: + actual_keys = kwargs.keys() + if callee.to_be_mutated: + assigned_readonly_keys = actual_keys & callee.readonly_keys + if assigned_readonly_keys: + self.msg.readonly_keys_mutated(assigned_readonly_keys, context=context) + if not ( + callee.required_keys <= always_present_keys and actual_keys <= callee.items.keys() + ): + if not (actual_keys <= callee.items.keys()): + self.msg.unexpected_typeddict_keys( + callee, + expected_keys=[ + key + for key in callee.items.keys() + if key in callee.required_keys or key in actual_keys + ], + actual_keys=list(actual_keys), + context=context, + ) + if not (callee.required_keys <= always_present_keys): + self.msg.unexpected_typeddict_keys( + callee, + expected_keys=[ + key for key in callee.items.keys() if key in callee.required_keys + ], + actual_keys=[ + key for key in always_present_keys if key in callee.required_keys + ], + context=context, + ) + if callee.required_keys > actual_keys: + # found_set is a sub-set of the required_keys + # This means we're missing some keys and as such, we can't + # properly type the object + return AnyType(TypeOfAny.from_error) + + orig_callee = get_proper_type(orig_callee) + if isinstance(orig_callee, CallableType): + infer_callee = orig_callee + else: + # Try reconstructing from type context. + if callee.fallback.type.special_alias is not None: + infer_callee = self.typeddict_callable(callee.fallback.type) + else: + # Likely a TypedDict type generated by a plugin. + infer_callee = self.typeddict_callable_from_context(callee) + + # We don't show any errors, just infer types in a generic TypedDict type, + # a custom error message will be given below, if there are errors. + with self.msg.filter_errors(), self.chk.local_type_map: + orig_ret_type, _ = self.check_callable_call( + infer_callee, + # We use first expression for each key to infer type variables of a generic + # TypedDict. This is a bit arbitrary, but in most cases will work better than + # trying to infer a union or a join. + [args[0] for args in kwargs.values()], + [ArgKind.ARG_NAMED] * len(kwargs), + context, + list(kwargs.keys()), + None, + None, + None, + ) + + ret_type = get_proper_type(orig_ret_type) + if not isinstance(ret_type, TypedDictType): + # If something went really wrong, type-check call with original type, + # this may give a better error message. + ret_type = callee + + for item_name, item_expected_type in ret_type.items.items(): + if item_name in kwargs: + item_values = kwargs[item_name] + for item_value in item_values: + self.chk.check_simple_assignment( + lvalue_type=item_expected_type, + rvalue=item_value, + context=item_value, + msg=ErrorMessage( + message_registry.INCOMPATIBLE_TYPES.value, code=codes.TYPEDDICT_ITEM + ), + lvalue_name=f'TypedDict item "{item_name}"', + rvalue_name="expression", + ) + + return orig_ret_type + + def get_partial_self_var(self, expr: MemberExpr) -> Var | None: + """Get variable node for a partial self attribute. + + If the expression is not a self attribute, or attribute is not variable, + or variable is not partial, return None. + """ + if not ( + isinstance(expr.expr, NameExpr) + and isinstance(expr.expr.node, Var) + and expr.expr.node.is_self + ): + # Not a self.attr expression. + return None + info = self.chk.scope.enclosing_class() + if not info or expr.name not in info.names: + # Don't mess with partial types in superclasses. + return None + sym = info.names[expr.name] + if isinstance(sym.node, Var) and isinstance(sym.node.type, PartialType): + return sym.node + return None + + # Types and methods that can be used to infer partial types. + item_args: ClassVar[dict[str, list[str]]] = { + "builtins.list": ["append"], + "builtins.set": ["add", "discard"], + } + container_args: ClassVar[dict[str, dict[str, list[str]]]] = { + "builtins.list": {"extend": ["builtins.list"]}, + "builtins.dict": {"update": ["builtins.dict"]}, + "collections.OrderedDict": {"update": ["builtins.dict"]}, + "builtins.set": {"update": ["builtins.set", "builtins.list"]}, + } + + def try_infer_partial_type(self, e: CallExpr) -> None: + """Try to make partial type precise from a call.""" + if not isinstance(e.callee, MemberExpr): + return + callee = e.callee + if isinstance(callee.expr, RefExpr): + # Call a method with a RefExpr callee, such as 'x.method(...)'. + ret = self.get_partial_var(callee.expr) + if ret is None: + return + var, partial_types = ret + typ = self.try_infer_partial_value_type_from_call(e, callee.name, var) + # Var may be deleted from partial_types in try_infer_partial_value_type_from_call + if typ is not None and var in partial_types: + self.chk.replace_partial_type(var, typ, partial_types) + elif isinstance(callee.expr, IndexExpr) and isinstance(callee.expr.base, RefExpr): + # Call 'x[y].method(...)'; may infer type of 'x' if it's a partial defaultdict. + if callee.expr.analyzed is not None: + return # A special form + base = callee.expr.base + index = callee.expr.index + ret = self.get_partial_var(base) + if ret is None: + return + var, partial_types = ret + partial_type = get_partial_instance_type(var.type) + if partial_type is None or partial_type.value_type is None: + return + value_type = self.try_infer_partial_value_type_from_call(e, callee.name, var) + if value_type is not None: + # Infer key type. + key_type = self.accept(index) + if mypy.checker.is_valid_inferred_type(key_type, self.chk.options): + # Store inferred partial type. + assert partial_type.type is not None + typename = partial_type.type.fullname + new_type = self.chk.named_generic_type(typename, [key_type, value_type]) + self.chk.replace_partial_type(var, new_type, partial_types) + + def get_partial_var(self, ref: RefExpr) -> tuple[Var, dict[Var, Context]] | None: + var = ref.node + if var is None and isinstance(ref, MemberExpr): + var = self.get_partial_self_var(ref) + if not isinstance(var, Var): + return None + partial_types = self.chk.find_partial_types(var) + if partial_types is None: + return None + return var, partial_types + + def try_infer_partial_value_type_from_call( + self, e: CallExpr, methodname: str, var: Var + ) -> Instance | None: + """Try to make partial type precise from a call such as 'x.append(y)'.""" + if self.chk.current_node_deferred: + return None + partial_type = get_partial_instance_type(var.type) + if partial_type is None: + return None + if partial_type.value_type: + typename = partial_type.value_type.type.fullname + else: + assert partial_type.type is not None + typename = partial_type.type.fullname + # Sometimes we can infer a full type for a partial List, Dict or Set type. + # TODO: Don't infer argument expression twice. + if ( + typename in self.item_args + and methodname in self.item_args[typename] + and e.arg_kinds == [ARG_POS] + ): + item_type = self.accept(e.args[0]) + if mypy.checker.is_valid_inferred_type(item_type, self.chk.options): + return self.chk.named_generic_type(typename, [item_type]) + elif ( + typename in self.container_args + and methodname in self.container_args[typename] + and e.arg_kinds == [ARG_POS] + ): + arg_type = get_proper_type(self.accept(e.args[0])) + if isinstance(arg_type, Instance): + arg_typename = arg_type.type.fullname + if arg_typename in self.container_args[typename][methodname]: + if all( + mypy.checker.is_valid_inferred_type(item_type, self.chk.options) + for item_type in arg_type.args + ): + return self.chk.named_generic_type(typename, list(arg_type.args)) + elif isinstance(arg_type, AnyType): + return self.chk.named_type(typename) + + return None + + def apply_function_plugin( + self, + callee: CallableType, + arg_kinds: list[ArgKind], + arg_types: list[Type], + arg_names: Sequence[str | None] | None, + formal_to_actual: list[list[int]], + args: list[Expression], + fullname: str, + object_type: Type | None, + context: Context, + ) -> Type: + """Use special case logic to infer the return type of a specific named function/method. + + Caller must ensure that a plugin hook exists. There are two different cases: + + - If object_type is None, the caller must ensure that a function hook exists + for fullname. + - If object_type is not None, the caller must ensure that a method hook exists + for fullname. + + Return the inferred return type. + """ + num_formals = len(callee.arg_types) + formal_arg_types: list[list[Type]] = [[] for _ in range(num_formals)] + formal_arg_exprs: list[list[Expression]] = [[] for _ in range(num_formals)] + formal_arg_names: list[list[str | None]] = [[] for _ in range(num_formals)] + formal_arg_kinds: list[list[ArgKind]] = [[] for _ in range(num_formals)] + for formal, actuals in enumerate(formal_to_actual): + for actual in actuals: + formal_arg_types[formal].append(arg_types[actual]) + formal_arg_exprs[formal].append(args[actual]) + if arg_names: + formal_arg_names[formal].append(arg_names[actual]) + else: + formal_arg_names[formal].append(None) + formal_arg_kinds[formal].append(arg_kinds[actual]) + + if object_type is None: + # Apply function plugin + callback = self.plugin.get_function_hook(fullname) + assert callback is not None # Assume that caller ensures this + return callback( + FunctionContext( + arg_types=formal_arg_types, + arg_kinds=formal_arg_kinds, + callee_arg_names=callee.arg_names, + arg_names=formal_arg_names, + default_return_type=callee.ret_type, + args=formal_arg_exprs, + context=context, + api=self.chk, + ) + ) + else: + # Apply method plugin + method_callback = self.plugin.get_method_hook(fullname) + assert method_callback is not None # Assume that caller ensures this + object_type = get_proper_type(object_type) + return method_callback( + MethodContext( + type=object_type, + arg_types=formal_arg_types, + arg_kinds=formal_arg_kinds, + callee_arg_names=callee.arg_names, + arg_names=formal_arg_names, + default_return_type=callee.ret_type, + args=formal_arg_exprs, + context=context, + api=self.chk, + ) + ) + + def apply_signature_hook( + self, + callee: FunctionLike, + args: list[Expression], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + hook: Callable[[list[list[Expression]], CallableType], FunctionLike], + ) -> FunctionLike: + """Helper to apply a signature hook for either a function or method""" + if isinstance(callee, CallableType): + num_formals = len(callee.arg_kinds) + formal_to_actual = map_actuals_to_formals( + arg_kinds, + arg_names, + callee.arg_kinds, + callee.arg_names, + lambda i: self.accept(args[i]), + ) + formal_arg_exprs: list[list[Expression]] = [[] for _ in range(num_formals)] + for formal, actuals in enumerate(formal_to_actual): + for actual in actuals: + formal_arg_exprs[formal].append(args[actual]) + return hook(formal_arg_exprs, callee) + else: + assert isinstance(callee, Overloaded) + items = [] + for item in callee.items: + adjusted = self.apply_signature_hook(item, args, arg_kinds, arg_names, hook) + assert isinstance(adjusted, CallableType) + items.append(adjusted) + return Overloaded(items) + + def apply_function_signature_hook( + self, + callee: FunctionLike, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None, + signature_hook: Callable[[FunctionSigContext], FunctionLike], + ) -> FunctionLike: + """Apply a plugin hook that may infer a more precise signature for a function.""" + return self.apply_signature_hook( + callee, + args, + arg_kinds, + arg_names, + (lambda args, sig: signature_hook(FunctionSigContext(args, sig, context, self.chk))), + ) + + def apply_method_signature_hook( + self, + callee: FunctionLike, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None, + object_type: Type, + signature_hook: Callable[[MethodSigContext], FunctionLike], + ) -> FunctionLike: + """Apply a plugin hook that may infer a more precise signature for a method.""" + pobject_type = get_proper_type(object_type) + return self.apply_signature_hook( + callee, + args, + arg_kinds, + arg_names, + ( + lambda args, sig: signature_hook( + MethodSigContext(pobject_type, args, sig, context, self.chk) + ) + ), + ) + + def transform_callee_type( + self, + callable_name: str | None, + callee: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None = None, + object_type: Type | None = None, + ) -> Type: + """Attempt to determine a more accurate signature for a method call. + + This is done by looking up and applying a method signature hook (if one exists for the + given method name). + + If no matching method signature hook is found, callee is returned unmodified. The same + happens if the arguments refer to a non-method callable (this is allowed so that the code + calling transform_callee_type needs to perform fewer boilerplate checks). + + Note: this method is *not* called automatically as part of check_call, because in some + cases check_call is called multiple times while checking a single call (for example when + dealing with overloads). Instead, this method needs to be called explicitly + (if appropriate) before the signature is passed to check_call. + """ + callee = get_proper_type(callee) + if callable_name is not None and isinstance(callee, FunctionLike): + if object_type is not None: + method_sig_hook = self.plugin.get_method_signature_hook(callable_name) + if method_sig_hook: + return self.apply_method_signature_hook( + callee, args, arg_kinds, context, arg_names, object_type, method_sig_hook + ) + else: + function_sig_hook = self.plugin.get_function_signature_hook(callable_name) + if function_sig_hook: + return self.apply_function_signature_hook( + callee, args, arg_kinds, context, arg_names, function_sig_hook + ) + + return callee + + def is_generic_decorator_overload_call( + self, callee_type: CallableType, args: list[Expression] + ) -> Overloaded | None: + """Check if this looks like an application of a generic function to overload argument.""" + assert callee_type.variables + if len(callee_type.arg_types) != 1 or len(args) != 1: + # TODO: can we handle more general cases? + return None + if not isinstance(get_proper_type(callee_type.arg_types[0]), CallableType): + return None + if not isinstance(get_proper_type(callee_type.ret_type), CallableType): + return None + with self.chk.local_type_map: + with self.msg.filter_errors(): + arg_type = get_proper_type(self.accept(args[0], type_context=None)) + if isinstance(arg_type, Overloaded): + return arg_type + return None + + def handle_decorator_overload_call( + self, callee_type: CallableType, overloaded: Overloaded, ctx: Context + ) -> tuple[Type, Type] | None: + """Type-check application of a generic callable to an overload. + + We check call on each individual overload item, and then combine results into a new + overload. This function should be only used if callee_type takes and returns a Callable. + """ + result = [] + inferred_args = [] + for item in overloaded.items: + arg = TempNode(typ=item) + with self.msg.filter_errors() as err: + item_result, inferred_arg = self.check_call(callee_type, [arg], [ARG_POS], ctx) + if err.has_new_errors(): + # This overload doesn't match. + continue + p_item_result = get_proper_type(item_result) + if not isinstance(p_item_result, CallableType): + continue + p_inferred_arg = get_proper_type(inferred_arg) + if not isinstance(p_inferred_arg, CallableType): + continue + inferred_args.append(p_inferred_arg) + result.append(p_item_result) + if not result or not inferred_args: + # None of the overload matched (or overload was initially malformed). + return None + return Overloaded(result), Overloaded(inferred_args) + + def check_call_expr_with_callee_type( + self, + callee_type: Type, + e: CallExpr, + callable_name: str | None, + object_type: Type | None, + member: str | None = None, + ) -> Type: + """Type check call expression. + + The callee_type should be used as the type of callee expression. In particular, + in case of a union type this can be a particular item of the union, so that we can + apply plugin hooks to each item. + + The 'member', 'callable_name' and 'object_type' are only used to call plugin hooks. + If 'callable_name' is None but 'member' is not None (member call), try constructing + 'callable_name' using 'object_type' (the base type on which the method is called), + for example 'typing.Mapping.get'. + """ + if callable_name is None and member is not None: + assert object_type is not None + callable_name = self.method_fullname(object_type, member) + object_type = get_proper_type(object_type) + if callable_name: + # Try to refine the call signature using plugin hooks before checking the call. + callee_type = self.transform_callee_type( + callable_name, callee_type, e.args, e.arg_kinds, e, e.arg_names, object_type + ) + # Unions are special-cased to allow plugins to act on each item in the union. + elif member is not None and isinstance(object_type, UnionType): + return self.check_union_call_expr(e, object_type, member) + ret_type, callee_type = self.check_call( + callee_type, + e.args, + e.arg_kinds, + e, + e.arg_names, + callable_node=e.callee, + callable_name=callable_name, + object_type=object_type, + ) + proper_callee = get_proper_type(callee_type) + if isinstance(e.callee, RefExpr) and isinstance(proper_callee, CallableType): + # Cache it for find_isinstance_check() + if proper_callee.type_guard is not None: + e.callee.type_guard = proper_callee.type_guard + if proper_callee.type_is is not None: + e.callee.type_is = proper_callee.type_is + return ret_type + + def check_union_call_expr(self, e: CallExpr, object_type: UnionType, member: str) -> Type: + """Type check calling a member expression where the base type is a union.""" + res: list[Type] = [] + for typ in flatten_nested_unions(object_type.relevant_items()): + # Member access errors are already reported when visiting the member expression. + with self.msg.filter_errors(): + item = analyze_member_access( + member, + typ, + e, + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=object_type, + chk=self.chk, + in_literal_context=self.is_literal_context(), + self_type=typ, + ) + narrowed = self.narrow_type_from_binder(e.callee, item, skip_non_overlapping=True) + if narrowed is None: + continue + callable_name = self.method_fullname(typ, member) + item_object_type = typ if callable_name else None + res.append( + self.check_call_expr_with_callee_type(narrowed, e, callable_name, item_object_type) + ) + return make_simplified_union(res) + + def check_call( + self, + callee: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None = None, + callable_node: Expression | None = None, + callable_name: str | None = None, + object_type: Type | None = None, + original_type: Type | None = None, + ) -> tuple[Type, Type]: + """Type check a call. + + Also infer type arguments if the callee is a generic function. + + Return (result type, inferred callee type). + + Arguments: + callee: type of the called value + args: actual argument expressions + arg_kinds: contains nodes.ARG_* constant for each argument in args + describing whether the argument is positional, *arg, etc. + context: current expression context, used for inference. + arg_names: names of arguments (optional) + callable_node: associate the inferred callable type to this node, + if specified + callable_name: Fully-qualified name of the function/method to call, + or None if unavailable (examples: 'builtins.open', 'typing.Mapping.get') + object_type: If callable_name refers to a method, the type of the object + on which the method is being called + """ + callee = get_proper_type(callee) + + if isinstance(callee, CallableType): + if callee.variables: + overloaded = self.is_generic_decorator_overload_call(callee, args) + if overloaded is not None: + # Special casing for inline application of generic callables to overloads. + # Supporting general case would be tricky, but this should cover 95% of cases. + overloaded_result = self.handle_decorator_overload_call( + callee, overloaded, context + ) + if overloaded_result is not None: + return overloaded_result + + return self.check_callable_call( + callee, + args, + arg_kinds, + context, + arg_names, + callable_node, + callable_name, + object_type, + ) + elif isinstance(callee, Overloaded): + return self.check_overload_call( + callee, args, arg_kinds, arg_names, callable_name, object_type, context + ) + elif isinstance(callee, AnyType) or not self.chk.in_checked_function(): + return self.check_any_type_call(args, arg_kinds, callee, context) + elif isinstance(callee, UnionType): + return self.check_union_call(callee, args, arg_kinds, arg_names, context) + elif isinstance(callee, Instance): + call_function = analyze_member_access( + "__call__", + callee, + context, + is_lvalue=False, + is_super=False, + is_operator=True, + original_type=original_type or callee, + chk=self.chk, + in_literal_context=self.is_literal_context(), + ) + callable_name = callee.type.fullname + ".__call__" + # Apply method signature hook, if one exists + call_function = self.transform_callee_type( + callable_name, call_function, args, arg_kinds, context, arg_names, callee + ) + result = self.check_call( + call_function, + args, + arg_kinds, + context, + arg_names, + callable_node, + callable_name, + callee, + ) + if callable_node: + # check_call() stored "call_function" as the type, which is incorrect. + # Override the type. + self.chk.store_type(callable_node, callee) + return result + elif isinstance(callee, TypeVarType): + return self.check_call( + callee.upper_bound, args, arg_kinds, context, arg_names, callable_node + ) + elif isinstance(callee, TypeType): + item = self.analyze_type_type_callee(callee.item, context) + return self.check_call(item, args, arg_kinds, context, arg_names, callable_node) + elif isinstance(callee, TupleType): + return self.check_call( + tuple_fallback(callee), + args, + arg_kinds, + context, + arg_names, + callable_node, + callable_name, + object_type, + original_type=callee, + ) + elif isinstance(callee, UninhabitedType): + ret = UninhabitedType() + ret.ambiguous = callee.ambiguous + return callee, ret + else: + return self.msg.not_callable(callee, context), AnyType(TypeOfAny.from_error) + + def check_callable_call( + self, + callee: CallableType, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + arg_names: Sequence[str | None] | None, + callable_node: Expression | None, + callable_name: str | None, + object_type: Type | None, + ) -> tuple[Type, Type]: + """Type check a call that targets a callable value. + + See the docstring of check_call for more information. + """ + # Always unpack **kwargs before checking a call. + callee = callee.with_unpacked_kwargs().with_normalized_var_args() + if callable_name is None and callee.name: + callable_name = callee.name + ret_type = get_proper_type(callee.ret_type) + if callee.is_type_obj() and isinstance(ret_type, Instance): + callable_name = ret_type.type.fullname + if isinstance(callable_node, RefExpr) and callable_node.fullname in ENUM_BASES: + # An Enum() call that failed SemanticAnalyzerPass2.check_enum_call(). + return callee.ret_type, callee + + if ( + callee.is_type_obj() + and callee.type_object().is_protocol + # Exception for Type[...] + and not callee.from_type_type + ): + self.chk.fail( + message_registry.CANNOT_INSTANTIATE_PROTOCOL.format(callee.type_object().name), + context, + ) + elif ( + callee.is_type_obj() + and callee.type_object().is_abstract + # Exception for Type[...] + and not callee.from_type_type + and not callee.type_object().fallback_to_any + ): + type = callee.type_object() + # Determine whether the implicitly abstract attributes are functions with + # None-compatible return types. + abstract_attributes: dict[str, bool] = {} + for attr_name, abstract_status in type.abstract_attributes: + if abstract_status == IMPLICITLY_ABSTRACT: + abstract_attributes[attr_name] = self.can_return_none(type, attr_name) + else: + abstract_attributes[attr_name] = False + self.msg.cannot_instantiate_abstract_class( + callee.type_object().name, abstract_attributes, context + ) + + var_arg = callee.var_arg() + if var_arg and isinstance(var_arg.typ, UnpackType): + # It is hard to support multiple variadic unpacks (except for old-style *args: int), + # fail gracefully to avoid crashes later. + seen_unpack = False + for arg, arg_kind in zip(args, arg_kinds): + if arg_kind != ARG_STAR: + continue + arg_type = get_proper_type(self.accept(arg)) + if not isinstance(arg_type, TupleType) or any( + isinstance(t, UnpackType) for t in arg_type.items + ): + if seen_unpack: + self.msg.fail( + "Passing multiple variadic unpacks in a call is not supported", + context, + code=codes.CALL_ARG, + ) + return AnyType(TypeOfAny.from_error), callee + seen_unpack = True + + # This is tricky: return type may contain its own type variables, like in + # def [S] (S) -> def [T] (T) -> tuple[S, T], so we need to update their ids + # to avoid possible id clashes if this call itself appears in a generic + # function body. + ret_type = get_proper_type(callee.ret_type) + if isinstance(ret_type, CallableType) and ret_type.variables: + fresh_ret_type = freshen_all_functions_type_vars(callee.ret_type) + freeze_all_type_vars(fresh_ret_type) + callee = callee.copy_modified(ret_type=fresh_ret_type) + + if callee.is_generic(): + callee = freshen_function_type_vars(callee) + callee = self.infer_function_type_arguments_using_context(callee, context) + + formal_to_actual = map_actuals_to_formals( + arg_kinds, + arg_names, + callee.arg_kinds, + callee.arg_names, + lambda i: self.accept(args[i]), + ) + + if callee.is_generic(): + need_refresh = any( + isinstance(v, (ParamSpecType, TypeVarTupleType)) for v in callee.variables + ) + callee = self.infer_function_type_arguments( + callee, args, arg_kinds, arg_names, formal_to_actual, need_refresh, context + ) + if need_refresh: + # Argument kinds etc. may have changed due to + # ParamSpec or TypeVarTuple variables being replaced with an arbitrary + # number of arguments; recalculate actual-to-formal map + formal_to_actual = map_actuals_to_formals( + arg_kinds, + arg_names, + callee.arg_kinds, + callee.arg_names, + lambda i: self.accept(args[i]), + ) + + param_spec = callee.param_spec() + if ( + param_spec is not None + and arg_kinds == [ARG_STAR, ARG_STAR2] + and len(formal_to_actual) == 2 + ): + arg1 = self.accept(args[0]) + arg2 = self.accept(args[1]) + if ( + isinstance(arg1, ParamSpecType) + and isinstance(arg2, ParamSpecType) + and arg1.flavor == ParamSpecFlavor.ARGS + and arg2.flavor == ParamSpecFlavor.KWARGS + and arg1.id == arg2.id == param_spec.id + ): + return callee.ret_type, callee + + arg_types = self.infer_arg_types_in_context(callee, args, arg_kinds, formal_to_actual) + + self.check_argument_count( + callee, + arg_types, + arg_kinds, + arg_names, + formal_to_actual, + context, + object_type, + callable_name, + ) + + self.check_argument_types( + arg_types, arg_kinds, args, callee, formal_to_actual, context, object_type=object_type + ) + + if ( + callee.is_type_obj() + and (len(arg_types) == 1) + and is_equivalent(callee.ret_type, self.named_type("builtins.type")) + ): + callee = callee.copy_modified(ret_type=TypeType.make_normalized(arg_types[0])) + + if callable_node: + # Store the inferred callable type. + self.chk.store_type(callable_node, callee) + + if callable_name and ( + (object_type is None and self.plugin.get_function_hook(callable_name)) + or (object_type is not None and self.plugin.get_method_hook(callable_name)) + ): + new_ret_type = self.apply_function_plugin( + callee, + arg_kinds, + arg_types, + arg_names, + formal_to_actual, + args, + callable_name, + object_type, + context, + ) + callee = callee.copy_modified(ret_type=new_ret_type) + return callee.ret_type, callee + + def can_return_none(self, type: TypeInfo, attr_name: str) -> bool: + """Is the given attribute a method with a None-compatible return type? + + Overloads are only checked if there is an implementation. + """ + if not state.strict_optional: + # If strict-optional is not set, is_subtype(NoneType(), T) is always True. + # So, we cannot do anything useful here in that case. + return False + for base in type.mro: + symnode = base.names.get(attr_name) + if symnode is None: + continue + node = symnode.node + if isinstance(node, OverloadedFuncDef): + node = node.impl + if isinstance(node, Decorator): + node = node.func + if isinstance(node, FuncDef): + if node.type is not None: + assert isinstance(node.type, CallableType) + return is_subtype(NoneType(), node.type.ret_type) + return False + + def analyze_type_type_callee(self, item: ProperType, context: Context) -> Type: + """Analyze the callee X in X(...) where X is Type[item]. + + Return a Y that we can pass to check_call(Y, ...). + """ + if isinstance(item, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=item) + if isinstance(item, Instance): + res = type_object_type(item.type, self.named_type) + if isinstance(res, CallableType): + res = res.copy_modified(from_type_type=True) + expanded = expand_type_by_instance(res, item) + if isinstance(expanded, CallableType): + # Callee of the form Type[...] should never be generic, only + # proper class objects can be. + expanded = expanded.copy_modified(variables=[]) + return expanded + if isinstance(item, UnionType): + return UnionType( + [ + self.analyze_type_type_callee(get_proper_type(tp), context) + for tp in item.relevant_items() + ], + item.line, + ) + if isinstance(item, TypeVarType): + # Pretend we're calling the typevar's upper bound, + # i.e. its constructor (a poor approximation for reality, + # but better than AnyType...), but replace the return type + # with typevar. + callee = self.analyze_type_type_callee(get_proper_type(item.upper_bound), context) + callee = get_proper_type(callee) + if isinstance(callee, CallableType): + callee = callee.copy_modified(ret_type=item) + elif isinstance(callee, Overloaded): + callee = Overloaded([c.copy_modified(ret_type=item) for c in callee.items]) + return callee + # We support Type of namedtuples but not of tuples in general + if isinstance(item, TupleType) and tuple_fallback(item).type.fullname != "builtins.tuple": + return self.analyze_type_type_callee(tuple_fallback(item), context) + if isinstance(item, TypedDictType): + return self.typeddict_callable_from_context(item) + + self.msg.unsupported_type_type(item, context) + return AnyType(TypeOfAny.from_error) + + def infer_arg_types_in_empty_context(self, args: list[Expression]) -> list[Type]: + """Infer argument expression types in an empty context. + + In short, we basically recurse on each argument without considering + in what context the argument was called. + """ + res: list[Type] = [] + + for arg in args: + arg_type = self.accept(arg) + if has_erased_component(arg_type): + res.append(NoneType()) + else: + res.append(arg_type) + return res + + def infer_more_unions_for_recursive_type(self, type_context: Type) -> bool: + """Adjust type inference of unions if type context has a recursive type. + + Return the old state. The caller must assign it to type_state.infer_unions + afterwards. + + This is a hack to better support inference for recursive types. + + Note: This is performance-sensitive and must not be a context manager + until mypyc supports them better. + """ + old = type_state.infer_unions + if has_recursive_types(type_context): + type_state.infer_unions = True + return old + + def infer_arg_types_in_context( + self, + callee: CallableType, + args: list[Expression], + arg_kinds: list[ArgKind], + formal_to_actual: list[list[int]], + ) -> list[Type]: + """Infer argument expression types using a callable type as context. + + For example, if callee argument 2 has type List[int], infer the + argument expression with List[int] type context. + + Returns the inferred types of *actual arguments*. + """ + # Precompute arg_context so that we type check argument expressions in evaluation order + arg_context: list[Type | None] = [None] * len(args) + for fi, actuals in enumerate(formal_to_actual): + for ai in actuals: + if arg_kinds[ai].is_star(): + continue + arg_context[ai] = callee.arg_types[fi] + + res = [] + for arg, ctx in zip(args, arg_context): + if ctx is not None: + # When the outer context for a function call is known to be recursive, + # we solve type constraints inferred from arguments using unions instead + # of joins. This is a bit arbitrary, but in practice it works for most + # cases. A cleaner alternative would be to switch to single bin type + # inference, but this is a lot of work. + old = self.infer_more_unions_for_recursive_type(ctx) + res.append(self.accept(arg, ctx)) + # We need to manually restore union inference state, ugh. + type_state.infer_unions = old + else: + res.append(self.accept(arg)) + return res + + def infer_function_type_arguments_using_context( + self, callable: CallableType, error_context: Context + ) -> CallableType: + """Unify callable return type to type context to infer type vars. + + For example, if the return type is set[t] where 't' is a type variable + of callable, and if the context is set[int], return callable modified + by substituting 't' with 'int'. + """ + ctx = self.type_context[-1] + if not ctx: + return callable + # The return type may have references to type metavariables that + # we are inferring right now. We must consider them as indeterminate + # and they are not potential results; thus we replace them with the + # special ErasedType type. On the other hand, class type variables are + # valid results. + erased_ctx = replace_meta_vars(ctx, ErasedType()) + ret_type = callable.ret_type + if is_overlapping_none(ret_type) and is_overlapping_none(ctx): + # If both the context and the return type are optional, unwrap the optional, + # since in 99% cases this is what a user expects. In other words, we replace + # Optional[T] <: Optional[int] + # with + # T <: int + # while the former would infer T <: Optional[int]. + ret_type = remove_optional(ret_type) + erased_ctx = remove_optional(erased_ctx) + # + # TODO: Instead of this hack and the one below, we need to use outer and + # inner contexts at the same time. This is however not easy because of two + # reasons: + # * We need to support constraints like [1 <: 2, 2 <: X], i.e. with variables + # on both sides. (This is not too hard.) + # * We need to update all the inference "infrastructure", so that all + # variables in an expression are inferred at the same time. + # (And this is hard, also we need to be careful with lambdas that require + # two passes.) + proper_ret = get_proper_type(ret_type) + if ( + isinstance(proper_ret, TypeVarType) + or isinstance(proper_ret, UnionType) + and all(isinstance(get_proper_type(u), TypeVarType) for u in proper_ret.items) + ): + # Another special case: the return type is a type variable. If it's unrestricted, + # we could infer a too general type for the type variable if we use context, + # and this could result in confusing and spurious type errors elsewhere. + # + # So we give up and just use function arguments for type inference, with just two + # exceptions: + # + # 1. If the context is a generic instance type, actually use it as context, as + # this *seems* to usually be the reasonable thing to do. + # + # See also github issues #462 and #360. + # + # 2. If the context is some literal type, we want to "propagate" that information + # down so that we infer a more precise type for literal expressions. For example, + # the expression `3` normally has an inferred type of `builtins.int`: but if it's + # in a literal context like below, we want it to infer `Literal[3]` instead. + # + # def expects_literal(x: Literal[3]) -> None: pass + # def identity(x: T) -> T: return x + # + # expects_literal(identity(3)) # Should type-check + # TODO: we may want to add similar exception if all arguments are lambdas, since + # in this case external context is almost everything we have. + if not is_generic_instance(ctx) and not is_literal_type_like(ctx): + return callable.copy_modified() + args = infer_type_arguments( + callable.variables, ret_type, erased_ctx, skip_unsatisfied=True + ) + # Only substitute non-Uninhabited and non-erased types. + new_args: list[Type | None] = [] + for arg in args: + if has_uninhabited_component(arg) or has_erased_component(arg): + new_args.append(None) + else: + new_args.append(arg) + # Don't show errors after we have only used the outer context for inference. + # We will use argument context to infer more variables. + return self.apply_generic_arguments( + callable, new_args, error_context, skip_unsatisfied=True + ) + + def infer_function_type_arguments( + self, + callee_type: CallableType, + args: list[Expression], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + formal_to_actual: list[list[int]], + need_refresh: bool, + context: Context, + ) -> CallableType: + """Infer the type arguments for a generic callee type. + + Infer based on the types of arguments. + + Return a derived callable type that has the arguments applied. + """ + if self.chk.in_checked_function(): + # Disable type errors during type inference. There may be errors + # due to partial available context information at this time, but + # these errors can be safely ignored as the arguments will be + # inferred again later. + with self.msg.filter_errors(): + arg_types = self.infer_arg_types_in_context( + callee_type, args, arg_kinds, formal_to_actual + ) + + arg_pass_nums = self.get_arg_infer_passes( + callee_type, args, arg_types, formal_to_actual, len(args) + ) + + pass1_args: list[Type | None] = [] + for i, arg in enumerate(arg_types): + if arg_pass_nums[i] > 1: + pass1_args.append(None) + else: + pass1_args.append(arg) + + inferred_args, _ = infer_function_type_arguments( + callee_type, + pass1_args, + arg_kinds, + arg_names, + formal_to_actual, + context=self.argument_infer_context(), + strict=self.chk.in_checked_function(), + ) + + if 2 in arg_pass_nums: + # Second pass of type inference. + callee_type, inferred_args = self.infer_function_type_arguments_pass2( + callee_type, + args, + arg_kinds, + arg_names, + formal_to_actual, + inferred_args, + need_refresh, + context, + ) + + if ( + callee_type.special_sig == "dict" + and len(inferred_args) == 2 + and (ARG_NAMED in arg_kinds or ARG_STAR2 in arg_kinds) + ): + # HACK: Infer str key type for dict(...) with keyword args. The type system + # can't represent this so we special case it, as this is a pretty common + # thing. This doesn't quite work with all possible subclasses of dict + # if they shuffle type variables around, as we assume that there is a 1-1 + # correspondence with dict type variables. This is a marginal issue and + # a little tricky to fix so it's left unfixed for now. + first_arg = get_proper_type(inferred_args[0]) + if isinstance(first_arg, (NoneType, UninhabitedType)): + inferred_args[0] = self.named_type("builtins.str") + elif not first_arg or not is_subtype(self.named_type("builtins.str"), first_arg): + self.chk.fail(message_registry.KEYWORD_ARGUMENT_REQUIRES_STR_KEY_TYPE, context) + + if not self.chk.options.old_type_inference and any( + a is None + or isinstance(get_proper_type(a), UninhabitedType) + or set(get_type_vars(a)) & set(callee_type.variables) + for a in inferred_args + ): + if need_refresh: + # Technically we need to refresh formal_to_actual after *each* inference pass, + # since each pass can expand ParamSpec or TypeVarTuple. Although such situations + # are very rare, not doing this can cause crashes. + formal_to_actual = map_actuals_to_formals( + arg_kinds, + arg_names, + callee_type.arg_kinds, + callee_type.arg_names, + lambda a: self.accept(args[a]), + ) + # If the regular two-phase inference didn't work, try inferring type + # variables while allowing for polymorphic solutions, i.e. for solutions + # potentially involving free variables. + # TODO: support the similar inference for return type context. + poly_inferred_args, free_vars = infer_function_type_arguments( + callee_type, + arg_types, + arg_kinds, + arg_names, + formal_to_actual, + context=self.argument_infer_context(), + strict=self.chk.in_checked_function(), + allow_polymorphic=True, + ) + poly_callee_type = self.apply_generic_arguments( + callee_type, poly_inferred_args, context + ) + # Try applying inferred polymorphic type if possible, e.g. Callable[[T], T] can + # be interpreted as def [T] (T) -> T, but dict[T, T] cannot be expressed. + applied = applytype.apply_poly(poly_callee_type, free_vars) + if applied is not None and all( + a is not None and not isinstance(get_proper_type(a), UninhabitedType) + for a in poly_inferred_args + ): + freeze_all_type_vars(applied) + return applied + # If it didn't work, erase free variables as uninhabited, to avoid confusing errors. + unknown = UninhabitedType() + unknown.ambiguous = True + inferred_args = [ + ( + expand_type( + a, {v.id: unknown for v in list(callee_type.variables) + free_vars} + ) + if a is not None + else None + ) + for a in poly_inferred_args + ] + else: + # In dynamically typed functions use implicit 'Any' types for + # type variables. + inferred_args = [AnyType(TypeOfAny.unannotated)] * len(callee_type.variables) + return self.apply_inferred_arguments(callee_type, inferred_args, context) + + def infer_function_type_arguments_pass2( + self, + callee_type: CallableType, + args: list[Expression], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + formal_to_actual: list[list[int]], + old_inferred_args: Sequence[Type | None], + need_refresh: bool, + context: Context, + ) -> tuple[CallableType, list[Type | None]]: + """Perform second pass of generic function type argument inference. + + The second pass is needed for arguments with types such as Callable[[T], S], + where both T and S are type variables, when the actual argument is a + lambda with inferred types. The idea is to infer the type variable T + in the first pass (based on the types of other arguments). This lets + us infer the argument and return type of the lambda expression and + thus also the type variable S in this second pass. + + Return (the callee with type vars applied, inferred actual arg types). + """ + # None or erased types in inferred types mean that there was not enough + # information to infer the argument. Replace them with None values so + # that they are not applied yet below. + inferred_args = list(old_inferred_args) + for i, arg in enumerate(get_proper_types(inferred_args)): + if isinstance(arg, (NoneType, UninhabitedType)) or has_erased_component(arg): + inferred_args[i] = None + callee_type = self.apply_generic_arguments(callee_type, inferred_args, context) + + if not callee_type.is_generic(): + # Fast path, second pass can't give new information. + return callee_type, [] + + if need_refresh: + formal_to_actual = map_actuals_to_formals( + arg_kinds, + arg_names, + callee_type.arg_kinds, + callee_type.arg_names, + lambda a: self.accept(args[a]), + ) + + # Same as during first pass, disable type errors (we still have partial context). + with self.msg.filter_errors(): + arg_types = self.infer_arg_types_in_context( + callee_type, args, arg_kinds, formal_to_actual + ) + + inferred_args, _ = infer_function_type_arguments( + callee_type, + arg_types, + arg_kinds, + arg_names, + formal_to_actual, + context=self.argument_infer_context(), + ) + + return callee_type, inferred_args + + def argument_infer_context(self) -> ArgumentInferContext: + if self._arg_infer_context_cache is None: + self._arg_infer_context_cache = ArgumentInferContext( + self.chk.named_type("typing.Mapping"), self.chk.named_type("typing.Iterable") + ) + return self._arg_infer_context_cache + + def get_arg_infer_passes( + self, + callee: CallableType, + args: list[Expression], + arg_types: list[Type], + formal_to_actual: list[list[int]], + num_actuals: int, + ) -> list[int]: + """Return pass numbers for args for two-pass argument type inference. + + For each actual, the pass number is either 1 (first pass) or 2 (second + pass). + + Two-pass argument type inference primarily lets us infer types of + lambdas more effectively. + """ + res = [1] * num_actuals + for i, arg in enumerate(callee.arg_types): + skip_param_spec = False + p_formal = get_proper_type(callee.arg_types[i]) + if isinstance(p_formal, CallableType) and p_formal.param_spec(): + for j in formal_to_actual[i]: + p_actual = get_proper_type(arg_types[j]) + # This is an exception from the usual logic where we put generic Callable + # arguments in the second pass. If we have a non-generic actual, it is + # likely to infer good constraints, for example if we have: + # def run(Callable[P, None], *args: P.args, **kwargs: P.kwargs) -> None: ... + # def test(x: int, y: int) -> int: ... + # run(test, 1, 2) + # we will use `test` for inference, since it will allow to infer also + # argument *names* for P <: [x: int, y: int]. + if isinstance(p_actual, Instance): + call_method = find_member("__call__", p_actual, p_actual, is_operator=True) + if call_method is not None: + p_actual = get_proper_type(call_method) + if ( + isinstance(p_actual, CallableType) + and not p_actual.variables + and not isinstance(args[j], LambdaExpr) + ): + skip_param_spec = True + break + if not skip_param_spec and arg.accept(ArgInferSecondPassQuery()): + for j in formal_to_actual[i]: + res[j] = 2 + return res + + def apply_inferred_arguments( + self, callee_type: CallableType, inferred_args: Sequence[Type | None], context: Context + ) -> CallableType: + """Apply inferred values of type arguments to a generic function. + + Inferred_args contains the values of function type arguments. + """ + # Report error if some of the variables could not be solved. In that + # case assume that all variables have type Any to avoid extra + # bogus error messages. + for inferred_type, tv in zip(inferred_args, callee_type.variables): + if not inferred_type or has_erased_component(inferred_type): + # Could not infer a non-trivial type for a type variable. + self.msg.could_not_infer_type_arguments(callee_type, tv, context) + inferred_args = [AnyType(TypeOfAny.from_error)] * len(inferred_args) + # Apply the inferred types to the function type. In this case the + # return type must be CallableType, since we give the right number of type + # arguments. + return self.apply_generic_arguments(callee_type, inferred_args, context) + + def check_argument_count( + self, + callee: CallableType, + actual_types: list[Type], + actual_kinds: list[ArgKind], + actual_names: Sequence[str | None] | None, + formal_to_actual: list[list[int]], + context: Context | None, + object_type: Type | None = None, + callable_name: str | None = None, + ) -> bool: + """Check that there is a value for all required arguments to a function. + + Also check that there are no duplicate values for arguments. Report found errors + using 'messages' if it's not None. If 'messages' is given, 'context' must also be given. + + Return False if there were any errors. Otherwise return True + """ + if context is None: + # Avoid "is None" checks + context = TempNode(AnyType(TypeOfAny.special_form)) + + # TODO(jukka): We could return as soon as we find an error if messages is None. + + # Collect dict of all actual arguments matched to formal arguments, with occurrence count + all_actuals: dict[int, int] = {} + for actuals in formal_to_actual: + for a in actuals: + all_actuals[a] = all_actuals.get(a, 0) + 1 + + ok, is_unexpected_arg_error = self.check_for_extra_actual_arguments( + callee, actual_types, actual_kinds, actual_names, all_actuals, context + ) + + # Check for too many or few values for formals. + for i, kind in enumerate(callee.arg_kinds): + mapped_args = formal_to_actual[i] + if kind.is_required() and not mapped_args and not is_unexpected_arg_error: + # No actual for a mandatory formal + if kind.is_positional(): + self.msg.too_few_arguments(callee, context, actual_names) + if object_type and callable_name and "." in callable_name: + self.missing_classvar_callable_note(object_type, callable_name, context) + else: + argname = callee.arg_names[i] or "?" + self.msg.missing_named_argument(callee, context, argname) + ok = False + elif not kind.is_star() and is_duplicate_mapping( + mapped_args, actual_types, actual_kinds + ): + if self.chk.in_checked_function() or isinstance( + get_proper_type(actual_types[mapped_args[0]]), TupleType + ): + self.msg.duplicate_argument_value(callee, i, context) + ok = False + elif ( + kind.is_named() + and mapped_args + and actual_kinds[mapped_args[0]] not in [nodes.ARG_NAMED, nodes.ARG_STAR2] + ): + # Positional argument when expecting a keyword argument. + self.msg.too_many_positional_arguments(callee, context) + ok = False + elif callee.param_spec() is not None: + if not mapped_args and callee.special_sig != "partial": + self.msg.too_few_arguments(callee, context, actual_names) + ok = False + elif len(mapped_args) > 1: + paramspec_entries = sum( + isinstance(get_proper_type(actual_types[k]), ParamSpecType) + for k in mapped_args + ) + if actual_kinds[mapped_args[0]] == nodes.ARG_STAR and paramspec_entries > 1: + self.msg.fail("ParamSpec.args should only be passed once", context) + ok = False + if actual_kinds[mapped_args[0]] == nodes.ARG_STAR2 and paramspec_entries > 1: + self.msg.fail("ParamSpec.kwargs should only be passed once", context) + ok = False + return ok + + def check_for_extra_actual_arguments( + self, + callee: CallableType, + actual_types: list[Type], + actual_kinds: list[ArgKind], + actual_names: Sequence[str | None] | None, + all_actuals: dict[int, int], + context: Context, + ) -> tuple[bool, bool]: + """Check for extra actual arguments. + + Return tuple (was everything ok, + was there an extra keyword argument error [used to avoid duplicate errors]). + """ + + is_unexpected_arg_error = False # Keep track of errors to avoid duplicate errors + ok = True # False if we've found any error + + for i, kind in enumerate(actual_kinds): + if ( + i not in all_actuals + and + # We accept the other iterables than tuple (including Any) + # as star arguments because they could be empty, resulting no arguments. + (kind != nodes.ARG_STAR or is_non_empty_tuple(actual_types[i])) + and + # Accept all types for double-starred arguments, because they could be empty + # dictionaries and we can't tell it from their types + kind != nodes.ARG_STAR2 + ): + # Extra actual: not matched by a formal argument. + ok = False + if kind != nodes.ARG_NAMED: + self.msg.too_many_arguments(callee, context) + else: + assert actual_names, "Internal error: named kinds without names given" + act_name = actual_names[i] + assert act_name is not None + act_type = actual_types[i] + self.msg.unexpected_keyword_argument(callee, act_name, act_type, context) + is_unexpected_arg_error = True + elif ( + kind == nodes.ARG_STAR and nodes.ARG_STAR not in callee.arg_kinds + ) or kind == nodes.ARG_STAR2: + actual_type = get_proper_type(actual_types[i]) + if isinstance(actual_type, (TupleType, TypedDictType)): + if all_actuals.get(i, 0) < len(actual_type.items): + # Too many tuple/dict items as some did not match. + if kind != nodes.ARG_STAR2 or not isinstance(actual_type, TypedDictType): + self.msg.too_many_arguments(callee, context) + else: + self.msg.too_many_arguments_from_typed_dict( + callee, actual_type, context + ) + is_unexpected_arg_error = True + ok = False + # *args/**kwargs can be applied even if the function takes a fixed + # number of positional arguments. This may succeed at runtime. + + return ok, is_unexpected_arg_error + + def missing_classvar_callable_note( + self, object_type: Type, callable_name: str, context: Context + ) -> None: + if isinstance(object_type, ProperType) and isinstance(object_type, Instance): + _, var_name = callable_name.rsplit(".", maxsplit=1) + node = object_type.type.get(var_name) + if node is not None and isinstance(node.node, Var): + if not node.node.is_inferred and not node.node.is_classvar: + self.msg.note( + f'"{var_name}" is considered instance variable,' + " to make it class variable use ClassVar[...]", + context, + ) + + def check_var_args_kwargs( + self, arg_types: list[Type], arg_kinds: list[ArgKind], context: Context + ) -> None: + for arg_type, arg_kind in zip(arg_types, arg_kinds): + arg_type = get_proper_type(arg_type) + if arg_kind == nodes.ARG_STAR and not self.is_valid_var_arg(arg_type): + self.msg.invalid_var_arg(arg_type, context) + if arg_kind == nodes.ARG_STAR2 and not self.is_valid_keyword_var_arg(arg_type): + is_mapping = is_subtype( + arg_type, self.chk.named_type("_typeshed.SupportsKeysAndGetItem") + ) + self.msg.invalid_keyword_var_arg(arg_type, is_mapping, context) + + def check_argument_types( + self, + arg_types: list[Type], + arg_kinds: list[ArgKind], + args: list[Expression], + callee: CallableType, + formal_to_actual: list[list[int]], + context: Context, + check_arg: ArgChecker | None = None, + object_type: Type | None = None, + ) -> None: + """Check argument types against a callable type. + + Report errors if the argument types are not compatible. + + The check_call docstring describes some of the arguments. + """ + self.check_var_args_kwargs(arg_types, arg_kinds, context) + + check_arg = check_arg or self.check_arg + # Keep track of consumed tuple *arg items. + mapper = ArgTypeExpander(self.argument_infer_context()) + + for i, actuals in enumerate(formal_to_actual): + orig_callee_arg_type = get_proper_type(callee.arg_types[i]) + + # Checking the case that we have more than one item but the first argument + # is an unpack, so this would be something like: + # [Tuple[Unpack[Ts]], int] + # + # In this case we have to check everything together, we do this by re-unifying + # the suffices to the tuple, e.g. a single actual like + # Tuple[Unpack[Ts], int] + expanded_tuple = False + actual_kinds = [arg_kinds[a] for a in actuals] + if len(actuals) > 1: + p_actual_type = get_proper_type(arg_types[actuals[0]]) + if ( + isinstance(p_actual_type, TupleType) + and len(p_actual_type.items) == 1 + and isinstance(p_actual_type.items[0], UnpackType) + and actual_kinds == [nodes.ARG_STAR] + [nodes.ARG_POS] * (len(actuals) - 1) + ): + actual_types = [p_actual_type.items[0]] + [arg_types[a] for a in actuals[1:]] + if isinstance(orig_callee_arg_type, UnpackType): + p_callee_type = get_proper_type(orig_callee_arg_type.type) + if isinstance(p_callee_type, TupleType): + assert p_callee_type.items + callee_arg_types = p_callee_type.items + callee_arg_kinds = [nodes.ARG_STAR] + [nodes.ARG_POS] * ( + len(p_callee_type.items) - 1 + ) + expanded_tuple = True + + if not expanded_tuple: + actual_types = [arg_types[a] for a in actuals] + if isinstance(orig_callee_arg_type, UnpackType): + unpacked_type = get_proper_type(orig_callee_arg_type.type) + if isinstance(unpacked_type, TupleType): + inner_unpack_index = find_unpack_in_list(unpacked_type.items) + if inner_unpack_index is None: + callee_arg_types = unpacked_type.items + callee_arg_kinds = [ARG_POS] * len(actuals) + else: + inner_unpack = unpacked_type.items[inner_unpack_index] + assert isinstance(inner_unpack, UnpackType) + inner_unpacked_type = get_proper_type(inner_unpack.type) + if isinstance(inner_unpacked_type, TypeVarTupleType): + # This branch mimics the expanded_tuple case above but for + # the case where caller passed a single * unpacked tuple argument. + callee_arg_types = unpacked_type.items + callee_arg_kinds = [ + ARG_POS if i != inner_unpack_index else ARG_STAR + for i in range(len(unpacked_type.items)) + ] + else: + # We assume heterogeneous tuples are desugared earlier. + assert isinstance(inner_unpacked_type, Instance) + assert inner_unpacked_type.type.fullname == "builtins.tuple" + callee_arg_types = ( + unpacked_type.items[:inner_unpack_index] + + [inner_unpacked_type.args[0]] + * (len(actuals) - len(unpacked_type.items) + 1) + + unpacked_type.items[inner_unpack_index + 1 :] + ) + callee_arg_kinds = [ARG_POS] * len(actuals) + elif isinstance(unpacked_type, TypeVarTupleType): + callee_arg_types = [orig_callee_arg_type] + callee_arg_kinds = [ARG_STAR] + else: + assert isinstance(unpacked_type, Instance) + assert unpacked_type.type.fullname == "builtins.tuple" + callee_arg_types = [unpacked_type.args[0]] * len(actuals) + callee_arg_kinds = [ARG_POS] * len(actuals) + else: + callee_arg_types = [orig_callee_arg_type] * len(actuals) + callee_arg_kinds = [callee.arg_kinds[i]] * len(actuals) + + assert len(actual_types) == len(actuals) == len(actual_kinds) + + if len(callee_arg_types) != len(actual_types): + if len(actual_types) > len(callee_arg_types): + self.chk.msg.too_many_arguments(callee, context) + else: + self.chk.msg.too_few_arguments(callee, context, None) + continue + + assert len(callee_arg_types) == len(actual_types) + assert len(callee_arg_types) == len(callee_arg_kinds) + for actual, actual_type, actual_kind, callee_arg_type, callee_arg_kind in zip( + actuals, actual_types, actual_kinds, callee_arg_types, callee_arg_kinds + ): + # Check that a *arg is valid as varargs. + expanded_actual = mapper.expand_actual_type( + actual_type, + actual_kind, + callee.arg_names[i], + callee_arg_kind, + allow_unpack=isinstance(callee_arg_type, UnpackType), + ) + check_arg( + expanded_actual, + actual_type, + actual_kind, + callee_arg_type, + actual + 1, + i + 1, + callee, + object_type, + args[actual], + context, + ) + + def check_arg( + self, + caller_type: Type, + original_caller_type: Type, + caller_kind: ArgKind, + callee_type: Type, + n: int, + m: int, + callee: CallableType, + object_type: Type | None, + context: Context, + outer_context: Context, + ) -> None: + """Check the type of a single argument in a call.""" + caller_type = get_proper_type(caller_type) + original_caller_type = get_proper_type(original_caller_type) + callee_type = get_proper_type(callee_type) + + if isinstance(caller_type, DeletedType): + self.msg.deleted_as_rvalue(caller_type, context) + # Only non-abstract non-protocol class can be given where Type[...] is expected... + elif self.has_abstract_type_part(caller_type, callee_type): + self.msg.concrete_only_call(callee_type, context) + elif not is_subtype(caller_type, callee_type, options=self.chk.options): + error = self.msg.incompatible_argument( + n, + m, + callee, + original_caller_type, + caller_kind, + object_type=object_type, + context=context, + outer_context=outer_context, + ) + if not caller_kind.is_star(): + # For *args and **kwargs this note would be incorrect - we're comparing + # iterable/mapping type with union of relevant arg types. + self.msg.incompatible_argument_note( + original_caller_type, callee_type, context, parent_error=error + ) + if not self.msg.prefer_simple_messages(): + self.chk.check_possible_missing_await( + caller_type, callee_type, context, error.code + ) + + def check_overload_call( + self, + callee: Overloaded, + args: list[Expression], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + callable_name: str | None, + object_type: Type | None, + context: Context, + ) -> tuple[Type, Type]: + """Checks a call to an overloaded function.""" + # Normalize unpacked kwargs before checking the call. + callee = callee.with_unpacked_kwargs() + arg_types = self.infer_arg_types_in_empty_context(args) + # Step 1: Filter call targets to remove ones where the argument counts don't match + plausible_targets = self.plausible_overload_call_targets( + arg_types, arg_kinds, arg_names, callee + ) + + # Step 2: If the arguments contain a union, we try performing union math first, + # instead of picking the first matching overload. + # This is because picking the first overload often ends up being too greedy: + # for example, when we have a fallback alternative that accepts an unrestricted + # typevar. See https://github.com/python/mypy/issues/4063 for related discussion. + erased_targets: list[CallableType] | None = None + inferred_types: list[Type] | None = None + unioned_result: tuple[Type, Type] | None = None + + # Determine whether we need to encourage union math. This should be generally safe, + # as union math infers better results in the vast majority of cases, but it is very + # computationally intensive. + none_type_var_overlap = self.possible_none_type_var_overlap(arg_types, plausible_targets) + union_interrupted = False # did we try all union combinations? + if any(self.real_union(arg) for arg in arg_types): + try: + with self.msg.filter_errors(): + unioned_return = self.union_overload_result( + plausible_targets, + args, + arg_types, + arg_kinds, + arg_names, + callable_name, + object_type, + none_type_var_overlap, + context, + ) + except TooManyUnions: + union_interrupted = True + else: + # Record if we succeeded. Next we need to see if maybe normal procedure + # gives a narrower type. + if unioned_return: + returns = [u[0] for u in unioned_return] + inferred_types = [u[1] for u in unioned_return] + # Note that we use `combine_function_signatures` instead of just returning + # a union of inferred callables because for example a call + # Union[int -> int, str -> str](Union[int, str]) is invalid and + # we don't want to introduce internal inconsistencies. + unioned_result = ( + make_simplified_union(returns, context.line, context.column), + self.combine_function_signatures(get_proper_types(inferred_types)), + ) + + # Step 3: We try checking each branch one-by-one. + inferred_result = self.infer_overload_return_type( + plausible_targets, + args, + arg_types, + arg_kinds, + arg_names, + callable_name, + object_type, + context, + ) + # If any of checks succeed, perform deprecation tests and stop early. + if inferred_result is not None and unioned_result is not None: + # Both unioned and direct checks succeeded, choose the more precise type. + if ( + is_subtype(inferred_result[0], unioned_result[0]) + and not isinstance(get_proper_type(inferred_result[0]), AnyType) + and not none_type_var_overlap + ): + unioned_result = None + else: + inferred_result = None + if unioned_result is not None: + if inferred_types is not None: + for inferred_type in inferred_types: + if isinstance(c := get_proper_type(inferred_type), CallableType): + self.chk.warn_deprecated(c.definition, context) + return unioned_result + if inferred_result is not None: + if isinstance(c := get_proper_type(inferred_result[1]), CallableType): + self.chk.warn_deprecated(c.definition, context) + return inferred_result + + # Step 4: Failure. At this point, we know there is no match. We fall back to trying + # to find a somewhat plausible overload target using the erased types + # so we can produce a nice error message. + # + # For example, suppose the user passes a value of type 'List[str]' into an + # overload with signatures f(x: int) -> int and f(x: List[int]) -> List[int]. + # + # Neither alternative matches, but we can guess the user probably wants the + # second one. + erased_targets = self.overload_erased_call_targets( + plausible_targets, arg_types, arg_kinds, arg_names, args, context + ) + + # Step 5: We try and infer a second-best alternative if possible. If not, fall back + # to using 'Any'. + if len(erased_targets) > 0: + # Pick the first plausible erased target as the fallback + # TODO: Adjust the error message here to make it clear there was no match. + # In order to do this, we need to find a clean way of associating + # a note with whatever error message 'self.check_call' will generate. + # In particular, the note's line and column numbers need to be the same + # as the error's. + target: Type = erased_targets[0] + else: + # There was no plausible match: give up + target = AnyType(TypeOfAny.from_error) + if not is_operator_method(callable_name): + code = None + else: + code = codes.OPERATOR + self.msg.no_variant_matches_arguments(callee, arg_types, context, code=code) + + result = self.check_call( + target, + args, + arg_kinds, + context, + arg_names, + callable_name=callable_name, + object_type=object_type, + ) + # Do not show the extra error if the union math was forced. + if union_interrupted and not none_type_var_overlap: + self.chk.fail(message_registry.TOO_MANY_UNION_COMBINATIONS, context) + return result + + def plausible_overload_call_targets( + self, + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + overload: Overloaded, + ) -> list[CallableType]: + """Returns all overload call targets that having matching argument counts. + + If the given args contains a star-arg (*arg or **kwarg argument, except for + ParamSpec), this method will ensure all star-arg overloads appear at the start + of the list, instead of their usual location. + + The only exception is if the starred argument is something like a Tuple or a + NamedTuple, which has a definitive "shape". If so, we don't move the corresponding + alternative to the front since we can infer a more precise match using the original + order.""" + + def has_shape(typ: Type) -> bool: + typ = get_proper_type(typ) + return isinstance(typ, (TupleType, TypedDictType)) or ( + isinstance(typ, Instance) and typ.type.is_named_tuple + ) + + matches: list[CallableType] = [] + star_matches: list[CallableType] = [] + + args_have_var_arg = False + args_have_kw_arg = False + for kind, typ in zip(arg_kinds, arg_types): + if kind == ARG_STAR and not has_shape(typ): + args_have_var_arg = True + if kind == ARG_STAR2 and not has_shape(typ): + args_have_kw_arg = True + + for typ in overload.items: + formal_to_actual = map_actuals_to_formals( + arg_kinds, arg_names, typ.arg_kinds, typ.arg_names, lambda i: arg_types[i] + ) + with self.msg.filter_errors(): + if typ.param_spec() is not None: + # ParamSpec can be expanded in a lot of different ways. We may try + # to expand it here instead, but picking an impossible overload + # is safe: it will be filtered out later. + # Unlike other var-args signatures, ParamSpec produces essentially + # a fixed signature, so there's no need to push them to the top. + matches.append(typ) + elif self.check_argument_count( + typ, arg_types, arg_kinds, arg_names, formal_to_actual, None + ): + if args_have_var_arg and typ.is_var_arg: + star_matches.append(typ) + elif args_have_kw_arg and typ.is_kw_arg: + star_matches.append(typ) + else: + matches.append(typ) + + return star_matches + matches + + def infer_overload_return_type( + self, + plausible_targets: list[CallableType], + args: list[Expression], + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + callable_name: str | None, + object_type: Type | None, + context: Context, + ) -> tuple[Type, Type] | None: + """Attempts to find the first matching callable from the given list. + + If a match is found, returns a tuple containing the result type and the inferred + callee type. (This tuple is meant to be eventually returned by check_call.) + If multiple targets match due to ambiguous Any parameters, returns (AnyType, AnyType). + If no targets match, returns None. + + Assumes all of the given targets have argument counts compatible with the caller. + """ + + matches: list[CallableType] = [] + return_types: list[Type] = [] + inferred_types: list[Type] = [] + args_contain_any = any(map(has_any_type, arg_types)) + type_maps: list[dict[Expression, Type]] = [] + + for typ in plausible_targets: + assert self.msg is self.chk.msg + with self.msg.filter_errors(filter_revealed_type=True) as w: + with self.chk.local_type_map as m: + ret_type, infer_type = self.check_call( + callee=typ, + args=args, + arg_kinds=arg_kinds, + arg_names=arg_names, + context=context, + callable_name=callable_name, + object_type=object_type, + ) + is_match = not w.has_new_errors() + if is_match: + # Return early if possible; otherwise record info, so we can + # check for ambiguity due to 'Any' below. + if not args_contain_any: + self.chk.store_types(m) + return ret_type, infer_type + p_infer_type = get_proper_type(infer_type) + if isinstance(p_infer_type, CallableType): + # Prefer inferred types if possible, this will avoid false triggers for + # Any-ambiguity caused by arguments with Any passed to generic overloads. + matches.append(p_infer_type) + else: + matches.append(typ) + return_types.append(ret_type) + inferred_types.append(infer_type) + type_maps.append(m) + + if not matches: + return None + elif any_causes_overload_ambiguity(matches, return_types, arg_types, arg_kinds, arg_names): + # An argument of type or containing the type 'Any' caused ambiguity. + # We try returning a precise type if we can. If not, we give up and just return 'Any'. + if all_same_types(return_types): + self.chk.store_types(type_maps[0]) + return return_types[0], inferred_types[0] + elif all_same_types([erase_type(typ) for typ in return_types]): + self.chk.store_types(type_maps[0]) + return erase_type(return_types[0]), erase_type(inferred_types[0]) + else: + return self.check_call( + callee=AnyType(TypeOfAny.special_form), + args=args, + arg_kinds=arg_kinds, + arg_names=arg_names, + context=context, + callable_name=callable_name, + object_type=object_type, + ) + else: + # Success! No ambiguity; return the first match. + self.chk.store_types(type_maps[0]) + return return_types[0], inferred_types[0] + + def overload_erased_call_targets( + self, + plausible_targets: list[CallableType], + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + args: list[Expression], + context: Context, + ) -> list[CallableType]: + """Returns a list of all targets that match the caller after erasing types. + + Assumes all of the given targets have argument counts compatible with the caller. + """ + matches: list[CallableType] = [] + for typ in plausible_targets: + if self.erased_signature_similarity( + arg_types, arg_kinds, arg_names, args, typ, context + ): + matches.append(typ) + return matches + + def possible_none_type_var_overlap( + self, arg_types: list[Type], plausible_targets: list[CallableType] + ) -> bool: + """Heuristic to determine whether we need to try forcing union math. + + This is needed to avoid greedy type variable match in situations like this: + @overload + def foo(x: None) -> None: ... + @overload + def foo(x: T) -> list[T]: ... + + x: int | None + foo(x) + we want this call to infer list[int] | None, not list[int | None]. + """ + if not plausible_targets or not arg_types: + return False + has_optional_arg = False + for arg_type in get_proper_types(arg_types): + if not isinstance(arg_type, UnionType): + continue + for item in get_proper_types(arg_type.items): + if isinstance(item, NoneType): + has_optional_arg = True + break + if not has_optional_arg: + return False + + min_prefix = min(len(c.arg_types) for c in plausible_targets) + for i in range(min_prefix): + if any( + isinstance(get_proper_type(c.arg_types[i]), NoneType) for c in plausible_targets + ) and any( + isinstance(get_proper_type(c.arg_types[i]), TypeVarType) for c in plausible_targets + ): + return True + return False + + def union_overload_result( + self, + plausible_targets: list[CallableType], + args: list[Expression], + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + callable_name: str | None, + object_type: Type | None, + none_type_var_overlap: bool, + context: Context, + level: int = 0, + ) -> list[tuple[Type, Type]] | None: + """Accepts a list of overload signatures and attempts to match calls by destructuring + the first union. + + Return a list of (, ) if call succeeds for every + item of the desctructured union. Returns None if there is no match. + """ + # Step 1: If we are already too deep, then stop immediately. Otherwise mypy might + # hang for long time because of a weird overload call. The caller will get + # the exception and generate an appropriate note message, if needed. + if level >= MAX_UNIONS: + raise TooManyUnions + + # Step 2: Find position of the first union in arguments. Return the normal inferred + # type if no more unions left. + for idx, typ in enumerate(arg_types): + if self.real_union(typ): + break + else: + # No unions in args, just fall back to normal inference + with self.type_overrides_set(args, arg_types): + res = self.infer_overload_return_type( + plausible_targets, + args, + arg_types, + arg_kinds, + arg_names, + callable_name, + object_type, + context, + ) + if res is not None: + return [res] + return None + + # Step 3: Try a direct match before splitting to avoid unnecessary union splits + # and save performance. + if not none_type_var_overlap: + with self.type_overrides_set(args, arg_types): + direct = self.infer_overload_return_type( + plausible_targets, + args, + arg_types, + arg_kinds, + arg_names, + callable_name, + object_type, + context, + ) + if direct is not None and not isinstance( + get_proper_type(direct[0]), (UnionType, AnyType) + ): + # We only return non-unions soon, to avoid greedy match. + return [direct] + + # Step 4: Split the first remaining union type in arguments into items and + # try to match each item individually (recursive). + first_union = get_proper_type(arg_types[idx]) + assert isinstance(first_union, UnionType) + res_items = [] + for item in first_union.relevant_items(): + new_arg_types = arg_types.copy() + new_arg_types[idx] = item + sub_result = self.union_overload_result( + plausible_targets, + args, + new_arg_types, + arg_kinds, + arg_names, + callable_name, + object_type, + none_type_var_overlap, + context, + level + 1, + ) + if sub_result is not None: + res_items.extend(sub_result) + else: + # Some item doesn't match, return soon. + return None + + # Step 5: If splitting succeeded, then filter out duplicate items before returning. + seen: set[tuple[Type, Type]] = set() + result = [] + for pair in res_items: + if pair not in seen: + seen.add(pair) + result.append(pair) + return result + + def real_union(self, typ: Type) -> bool: + typ = get_proper_type(typ) + return isinstance(typ, UnionType) and len(typ.relevant_items()) > 1 + + @contextmanager + def type_overrides_set( + self, exprs: Sequence[Expression], overrides: Sequence[Type] + ) -> Iterator[None]: + """Set _temporary_ type overrides for given expressions.""" + assert len(exprs) == len(overrides) + for expr, typ in zip(exprs, overrides): + self.type_overrides[expr] = typ + try: + yield + finally: + for expr in exprs: + del self.type_overrides[expr] + + def combine_function_signatures(self, types: list[ProperType]) -> AnyType | CallableType: + """Accepts a list of function signatures and attempts to combine them together into a + new CallableType consisting of the union of all of the given arguments and return types. + + If there is at least one non-callable type, return Any (this can happen if there is + an ambiguity because of Any in arguments). + """ + assert types, "Trying to merge no callables" + if not all(isinstance(c, CallableType) for c in types): + return AnyType(TypeOfAny.special_form) + callables = cast("list[CallableType]", types) + if len(callables) == 1: + return callables[0] + + # Note: we are assuming here that if a user uses some TypeVar 'T' in + # two different functions, they meant for that TypeVar to mean the + # same thing. + # + # This function will make sure that all instances of that TypeVar 'T' + # refer to the same underlying TypeVarType objects to simplify the union-ing + # logic below. + # + # (If the user did *not* mean for 'T' to be consistently bound to the + # same type in their overloads, well, their code is probably too + # confusing and ought to be re-written anyways.) + callables, variables = merge_typevars_in_callables_by_name(callables) + + new_args: list[list[Type]] = [[] for _ in range(len(callables[0].arg_types))] + new_kinds = list(callables[0].arg_kinds) + new_returns: list[Type] = [] + + too_complex = False + for target in callables: + # We fall back to Callable[..., Union[]] if the functions do not have + # the exact same signature. The only exception is if one arg is optional and + # the other is positional: in that case, we continue unioning (and expect a + # positional arg). + # TODO: Enhance the merging logic to handle a wider variety of signatures. + if len(new_kinds) != len(target.arg_kinds): + too_complex = True + break + for i, (new_kind, target_kind) in enumerate(zip(new_kinds, target.arg_kinds)): + if new_kind == target_kind: + continue + elif new_kind.is_positional() and target_kind.is_positional(): + new_kinds[i] = ARG_POS + else: + too_complex = True + break + + if too_complex: + break # outer loop + + for i, arg in enumerate(target.arg_types): + new_args[i].append(arg) + new_returns.append(target.ret_type) + + union_return = make_simplified_union(new_returns) + if too_complex: + any = AnyType(TypeOfAny.special_form) + return callables[0].copy_modified( + arg_types=[any, any], + arg_kinds=[ARG_STAR, ARG_STAR2], + arg_names=[None, None], + ret_type=union_return, + variables=variables, + implicit=True, + ) + + final_args = [] + for args_list in new_args: + new_type = make_simplified_union(args_list) + final_args.append(new_type) + + return callables[0].copy_modified( + arg_types=final_args, + arg_kinds=new_kinds, + ret_type=union_return, + variables=variables, + implicit=True, + ) + + def erased_signature_similarity( + self, + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + args: list[Expression], + callee: CallableType, + context: Context, + ) -> bool: + """Determine whether arguments could match the signature at runtime, after + erasing types.""" + formal_to_actual = map_actuals_to_formals( + arg_kinds, arg_names, callee.arg_kinds, callee.arg_names, lambda i: arg_types[i] + ) + + with self.msg.filter_errors(): + if not self.check_argument_count( + callee, arg_types, arg_kinds, arg_names, formal_to_actual, None + ): + # Too few or many arguments -> no match. + return False + + def check_arg( + caller_type: Type, + original_ccaller_type: Type, + caller_kind: ArgKind, + callee_type: Type, + n: int, + m: int, + callee: CallableType, + object_type: Type | None, + context: Context, + outer_context: Context, + ) -> None: + if not arg_approximate_similarity(caller_type, callee_type): + # No match -- exit early since none of the remaining work can change + # the result. + raise Finished + + try: + self.check_argument_types( + arg_types, + arg_kinds, + args, + callee, + formal_to_actual, + context=context, + check_arg=check_arg, + ) + return True + except Finished: + return False + + def apply_generic_arguments( + self, + callable: CallableType, + types: Sequence[Type | None], + context: Context, + skip_unsatisfied: bool = False, + ) -> CallableType: + """Simple wrapper around mypy.applytype.apply_generic_arguments.""" + return applytype.apply_generic_arguments( + callable, + types, + self.msg.incompatible_typevar_value, + context, + skip_unsatisfied=skip_unsatisfied, + ) + + def check_any_type_call( + self, args: list[Expression], arg_kinds: list[ArgKind], callee: Type, context: Context + ) -> tuple[Type, Type]: + arg_types = self.infer_arg_types_in_empty_context(args) + self.check_var_args_kwargs(arg_types, arg_kinds, context) + + callee = get_proper_type(callee) + if isinstance(callee, AnyType): + return ( + AnyType(TypeOfAny.from_another_any, source_any=callee), + AnyType(TypeOfAny.from_another_any, source_any=callee), + ) + else: + return AnyType(TypeOfAny.special_form), AnyType(TypeOfAny.special_form) + + def check_union_call( + self, + callee: UnionType, + args: list[Expression], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + context: Context, + ) -> tuple[Type, Type]: + with self.msg.disable_type_names(): + results = [ + self.check_call(subtype, args, arg_kinds, context, arg_names) + for subtype in callee.relevant_items() + ] + + return (make_simplified_union([res[0] for res in results]), callee) + + def visit_member_expr(self, e: MemberExpr, is_lvalue: bool = False) -> Type: + """Visit member expression (of form e.id).""" + result = self.analyze_ordinary_member_access(e, is_lvalue) + narrowed = self.narrow_type_from_binder(e, result) + self.chk.warn_deprecated(e.node, e) + return narrowed + + def analyze_ordinary_member_access( + self, e: MemberExpr, is_lvalue: bool, rvalue: Expression | None = None + ) -> Type: + """Analyse member expression or member lvalue. + + An rvalue can be provided optionally to infer better setter type when is_lvalue is True. + """ + if e.kind is not None: + # This is a reference to a module attribute. + return self.analyze_ref_expr(e) + else: + # This is a reference to a non-module attribute. + original_type = self.accept(e.expr, is_callee=self.is_callee) + base = e.expr + module_symbol_table = None + + if isinstance(base, RefExpr) and isinstance(base.node, MypyFile): + module_symbol_table = base.node.names + if isinstance(base, RefExpr) and isinstance(base.node, Var): + # This is needed to special case self-types, so we don't need to track + # these flags separately in checkmember.py. + is_self = base.node.is_self or base.node.is_cls + else: + is_self = False + + member_type = analyze_member_access( + e.name, + original_type, + e, + is_lvalue=is_lvalue, + is_super=False, + is_operator=False, + original_type=original_type, + chk=self.chk, + in_literal_context=self.is_literal_context(), + module_symbol_table=module_symbol_table, + is_self=is_self, + rvalue=rvalue, + ) + + return member_type + + def analyze_external_member_access( + self, member: str, base_type: Type, context: Context + ) -> Type: + """Analyse member access that is external, i.e. it cannot + refer to private definitions. Return the result type. + """ + # TODO remove; no private definitions in mypy + return analyze_member_access( + member, + base_type, + context, + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=base_type, + chk=self.chk, + in_literal_context=self.is_literal_context(), + ) + + def is_literal_context(self) -> bool: + return is_literal_type_like(self.type_context[-1]) + + def infer_literal_expr_type(self, value: LiteralValue, fallback_name: str) -> Type: + """Analyzes the given literal expression and determines if we should be + inferring an Instance type, a Literal[...] type, or an Instance that + remembers the original literal. We... + + 1. ...Infer a normal Instance in most circumstances. + + 2. ...Infer a Literal[...] if we're in a literal context. For example, if we + were analyzing the "3" in "foo(3)" where "foo" has a signature of + "def foo(Literal[3]) -> None", we'd want to infer that the "3" has a + type of Literal[3] instead of Instance. + + 3. ...Infer an Instance that remembers the original Literal if we're declaring + a Final variable with an inferred type -- for example, "bar" in "bar: Final = 3" + would be assigned an Instance that remembers it originated from a '3'. See + the comments in Instance's constructor for more details. + """ + typ = self.named_type(fallback_name) + if self.is_literal_context(): + return LiteralType(value=value, fallback=typ) + else: + if value is True: + if self._literal_true is None: + self._literal_true = typ.copy_modified( + last_known_value=LiteralType(value=value, fallback=typ) + ) + return self._literal_true + if value is False: + if self._literal_false is None: + self._literal_false = typ.copy_modified( + last_known_value=LiteralType(value=value, fallback=typ) + ) + return self._literal_false + return typ.copy_modified(last_known_value=LiteralType(value=value, fallback=typ)) + + def concat_tuples(self, left: TupleType, right: TupleType) -> TupleType: + """Concatenate two fixed length tuples.""" + assert not (find_unpack_in_list(left.items) and find_unpack_in_list(right.items)) + return TupleType( + items=left.items + right.items, fallback=self.named_type("builtins.tuple") + ) + + def visit_int_expr(self, e: IntExpr) -> Type: + """Type check an integer literal (trivial).""" + return self.infer_literal_expr_type(e.value, "builtins.int") + + def visit_str_expr(self, e: StrExpr) -> Type: + """Type check a string literal (trivial).""" + return self.infer_literal_expr_type(e.value, "builtins.str") + + def visit_bytes_expr(self, e: BytesExpr) -> Type: + """Type check a bytes literal (trivial).""" + return self.infer_literal_expr_type(e.value, "builtins.bytes") + + def visit_float_expr(self, e: FloatExpr) -> Type: + """Type check a float literal (trivial).""" + return self.named_type("builtins.float") + + def visit_complex_expr(self, e: ComplexExpr) -> Type: + """Type check a complex literal.""" + return self.named_type("builtins.complex") + + def visit_ellipsis(self, e: EllipsisExpr) -> Type: + """Type check '...'.""" + return self.named_type("builtins.ellipsis") + + def visit_op_expr(self, e: OpExpr) -> Type: + """Type check a binary operator expression.""" + if e.analyzed: + # It's actually a type expression X | Y. + return self.accept(e.analyzed) + if e.op == "and" or e.op == "or": + return self.check_boolean_op(e) + if e.op == "*" and isinstance(e.left, ListExpr): + # Expressions of form [...] * e get special type inference. + return self.check_list_multiply(e) + if e.op == "%": + if isinstance(e.left, BytesExpr): + return self.strfrm_checker.check_str_interpolation(e.left, e.right) + if isinstance(e.left, StrExpr): + return self.strfrm_checker.check_str_interpolation(e.left, e.right) + left_type = self.accept(e.left) + + proper_left_type = get_proper_type(left_type) + if isinstance(proper_left_type, TupleType) and e.op == "+": + left_add_method = proper_left_type.partial_fallback.type.get("__add__") + if left_add_method and left_add_method.fullname == "builtins.tuple.__add__": + proper_right_type = get_proper_type(self.accept(e.right)) + if isinstance(proper_right_type, TupleType): + right_radd_method = proper_right_type.partial_fallback.type.get("__radd__") + if right_radd_method is None: + # One cannot have two variadic items in the same tuple. + if ( + find_unpack_in_list(proper_left_type.items) is None + or find_unpack_in_list(proper_right_type.items) is None + ): + return self.concat_tuples(proper_left_type, proper_right_type) + elif ( + PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature + and isinstance(proper_right_type, Instance) + and self.chk.type_is_iterable(proper_right_type) + ): + # Handle tuple[X, Y] + tuple[Z, ...] = tuple[X, Y, *tuple[Z, ...]]. + right_radd_method = proper_right_type.type.get("__radd__") + if ( + right_radd_method is None + and proper_left_type.partial_fallback.type.fullname == "builtins.tuple" + and find_unpack_in_list(proper_left_type.items) is None + ): + item_type = self.chk.iterable_item_type(proper_right_type, e) + mapped = self.chk.named_generic_type("builtins.tuple", [item_type]) + return proper_left_type.copy_modified( + items=proper_left_type.items + [UnpackType(mapped)] + ) + + use_reverse: UseReverse = USE_REVERSE_DEFAULT + if e.op == "|": + if is_named_instance(proper_left_type, "builtins.dict"): + # This is a special case for `dict | TypedDict`. + # 1. Find `dict | TypedDict` case + # 2. Switch `dict.__or__` to `TypedDict.__ror__` (the same from both runtime and typing perspective) + proper_right_type = get_proper_type(self.accept(e.right)) + if isinstance(proper_right_type, TypedDictType): + use_reverse = USE_REVERSE_ALWAYS + if isinstance(proper_left_type, TypedDictType): + # This is the reverse case: `TypedDict | dict`, + # simply do not allow the reverse checking: + # do not call `__dict__.__ror__`. + proper_right_type = get_proper_type(self.accept(e.right)) + if is_named_instance(proper_right_type, "builtins.dict"): + use_reverse = USE_REVERSE_NEVER + + if PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature: + # Handle tuple[X, ...] + tuple[Y, Z] = tuple[*tuple[X, ...], Y, Z]. + if ( + e.op == "+" + and isinstance(proper_left_type, Instance) + and proper_left_type.type.fullname == "builtins.tuple" + ): + proper_right_type = get_proper_type(self.accept(e.right)) + if ( + isinstance(proper_right_type, TupleType) + and proper_right_type.partial_fallback.type.fullname == "builtins.tuple" + and find_unpack_in_list(proper_right_type.items) is None + ): + return proper_right_type.copy_modified( + items=[UnpackType(proper_left_type)] + proper_right_type.items + ) + + if e.op in operators.op_methods: + method = operators.op_methods[e.op] + if use_reverse is UseReverse.DEFAULT or use_reverse is UseReverse.NEVER: + result, method_type = self.check_op( + method, + base_type=left_type, + arg=e.right, + context=e, + allow_reverse=use_reverse is UseReverse.DEFAULT, + ) + elif use_reverse is UseReverse.ALWAYS: + result, method_type = self.check_op( + # The reverse operator here gives better error messages: + operators.reverse_op_methods[method], + base_type=self.accept(e.right), + arg=e.left, + context=e, + allow_reverse=False, + ) + else: + assert_never(use_reverse) + e.method_type = method_type + return result + else: + raise RuntimeError(f"Unknown operator {e.op}") + + def visit_comparison_expr(self, e: ComparisonExpr) -> Type: + """Type check a comparison expression. + + Comparison expressions are type checked consecutive-pair-wise + That is, 'a < b > c == d' is check as 'a < b and b > c and c == d' + """ + result: Type | None = None + sub_result: Type + + # Check each consecutive operand pair and their operator + for left, right, operator in zip(e.operands, e.operands[1:], e.operators): + left_type = self.accept(left) + + if operator == "in" or operator == "not in": + # This case covers both iterables and containers, which have different meanings. + # For a container, the in operator calls the __contains__ method. + # For an iterable, the in operator iterates over the iterable, and compares each item one-by-one. + # We allow `in` for a union of containers and iterables as long as at least one of them matches the + # type of the left operand, as the operation will simply return False if the union's container/iterator + # type doesn't match the left operand. + + # If the right operand has partial type, look it up without triggering + # a "Need type annotation ..." message, as it would be noise. + right_type = self.find_partial_type_ref_fast_path(right) + if right_type is None: + right_type = self.accept(right) # Validate the right operand + + right_type = get_proper_type(right_type) + item_types: Sequence[Type] = [right_type] + if isinstance(right_type, UnionType): + item_types = list(right_type.relevant_items()) + + sub_result = self.bool_type() + + container_types: list[Type] = [] + iterable_types: list[Type] = [] + failed_out = False + encountered_partial_type = False + + for item_type in item_types: + # Keep track of whether we get type check errors (these won't be reported, they + # are just to verify whether something is valid typing wise). + with self.msg.filter_errors(save_filtered_errors=True) as container_errors: + _, method_type = self.check_method_call_by_name( + method="__contains__", + base_type=item_type, + args=[left], + arg_kinds=[ARG_POS], + context=e, + original_type=right_type, + ) + # Container item type for strict type overlap checks. Note: we need to only + # check for nominal type, because a usual "Unsupported operands for in" + # will be reported for types incompatible with __contains__(). + # See testCustomContainsCheckStrictEquality for an example. + cont_type = self.chk.analyze_container_item_type(item_type) + + if isinstance(item_type, PartialType): + # We don't really know if this is an error or not, so just shut up. + encountered_partial_type = True + pass + elif ( + container_errors.has_new_errors() + and + # is_valid_var_arg is True for any Iterable + self.is_valid_var_arg(item_type) + ): + # it's not a container, but it is an iterable + with self.msg.filter_errors(save_filtered_errors=True) as iterable_errors: + _, itertype = self.chk.analyze_iterable_item_type_without_expression( + item_type, e + ) + if iterable_errors.has_new_errors(): + self.msg.add_errors(iterable_errors.filtered_errors()) + failed_out = True + else: + method_type = CallableType( + [left_type], + [nodes.ARG_POS], + [None], + self.bool_type(), + self.named_type("builtins.function"), + ) + e.method_types.append(method_type) + iterable_types.append(itertype) + elif not container_errors.has_new_errors() and cont_type: + container_types.append(cont_type) + e.method_types.append(method_type) + else: + self.msg.add_errors(container_errors.filtered_errors()) + failed_out = True + + if not encountered_partial_type and not failed_out: + iterable_type = UnionType.make_union(iterable_types) + if not is_subtype(left_type, iterable_type): + if not container_types: + self.msg.unsupported_operand_types("in", left_type, right_type, e) + else: + container_type = UnionType.make_union(container_types) + if not self.chk.can_skip_diagnostics and self.dangerous_comparison( + left_type, + container_type, + original_container=right_type, + prefer_literal=False, + ): + self.msg.dangerous_comparison( + left_type, container_type, "container", e + ) + + elif operator in operators.op_methods: + method = operators.op_methods[operator] + + with ErrorWatcher(self.msg.errors) as w: + sub_result, method_type = self.check_op( + method, left_type, right, e, allow_reverse=True + ) + e.method_types.append(method_type) + + # Only show dangerous overlap if there are no other errors. See + # testCustomEqCheckStrictEquality for an example. + if not w.has_new_errors() and operator in ("==", "!="): + right_type = self.accept(right) + if not self.chk.can_skip_diagnostics and self.dangerous_comparison( + left_type, right_type + ): + # Show the most specific literal types possible + left_type = try_getting_literal(left_type) + right_type = try_getting_literal(right_type) + self.msg.dangerous_comparison(left_type, right_type, "equality", e) + + elif operator == "is" or operator == "is not": + right_type = self.accept(right) # validate the right operand + sub_result = self.bool_type() + if ( + not self.chk.can_skip_diagnostics + and self.dangerous_comparison(left_type, right_type, identity_check=True) + # Allow dangerous identity comparisons with objects explicitly typed as Any + and not ( + isinstance(left, NameExpr) + and isinstance(left.node, Var) + and not left.node.is_inferred + and isinstance(get_proper_type(left.node.type), AnyType) + ) + and not ( + isinstance(right, NameExpr) + and isinstance(right.node, Var) + and not right.node.is_inferred + and isinstance(get_proper_type(right.node.type), AnyType) + ) + ): + # Show the most specific literal types possible + left_type = try_getting_literal(left_type) + right_type = try_getting_literal(right_type) + self.msg.dangerous_comparison(left_type, right_type, "identity", e) + e.method_types.append(None) + else: + raise RuntimeError(f"Unknown comparison operator {operator}") + + # Determine type of boolean-and of result and sub_result + if result is None: + result = sub_result + else: + result = join.join_types(result, sub_result) + + assert result is not None + return result + + def find_partial_type_ref_fast_path(self, expr: Expression) -> Type | None: + """If expression has a partial generic type, return it without additional checks. + + In particular, this does not generate an error about a missing annotation. + + Otherwise, return None. + """ + if not isinstance(expr, RefExpr): + return None + if isinstance(expr.node, Var): + result = self.analyze_var_ref(expr.node, expr) + if isinstance(result, PartialType) and result.type is not None: + self.chk.store_type(expr, fixup_partial_type(result)) + return result + return None + + def dangerous_comparison( + self, + left: Type, + right: Type, + *, + original_container: Type | None = None, + seen_types: set[tuple[Type, Type]] | None = None, + prefer_literal: bool = True, + identity_check: bool = False, + ) -> bool: + """Check for dangerous non-overlapping comparisons like 42 == 'no'. + + The original_container is the original container type for 'in' checks + (and None for equality checks). + + Rules: + * X and None are overlapping even in strict-optional mode. This is to allow + 'assert x is not None' for x defined as 'x = None # type: str' in class body + (otherwise mypy itself would have couple dozen errors because of this). + * Optional[X] and Optional[Y] are non-overlapping if X and Y are + non-overlapping, although technically None is overlap, it is most + likely an error. + * Any overlaps with everything, i.e. always safe. + * Special case: b'abc' in b'cde' is safe. + """ + if not self.chk.options.strict_equality: + return False + + if seen_types is None: + seen_types = set() + if (left, right) in seen_types: + return False + seen_types.add((left, right)) + + left, right = get_proper_types((left, right)) + + # We suppress the error for equality and container checks if there is a custom __eq__() + # method on either side. User defined (or even standard library) classes can define this + # to return True for comparisons between non-overlapping types. + if ( + custom_special_method(left, "__eq__") or custom_special_method(right, "__eq__") + ) and not identity_check: + return False + + if prefer_literal: + # Also flag non-overlapping literals in situations like: + # x: Literal['a', 'b'] + # if x == 'c': + # ... + left = try_getting_literal(left) + right = try_getting_literal(right) + + if self.chk.binder.is_unreachable_warning_suppressed(): + # We are inside a function that contains type variables with value restrictions in + # its signature. In this case we just suppress all strict-equality checks to avoid + # false positives for code like: + # + # T = TypeVar('T', str, int) + # def f(x: T) -> T: + # if x == 0: + # ... + # return x + # + # TODO: find a way of disabling the check only for types resulted from the expansion. + return False + if self.chk.options.strict_equality_for_none: + if isinstance(left, NoneType) and isinstance(right, NoneType): + return False + elif isinstance(left, NoneType) or isinstance(right, NoneType): + return False + if isinstance(left, UnionType) and isinstance(right, UnionType): + left = remove_optional(left) + right = remove_optional(right) + left, right = get_proper_types((left, right)) + if ( + original_container + and has_bytes_component(original_container) + and has_bytes_component(left) + ): + # We need to special case bytes and bytearray, because 97 in b'abc', b'a' in b'abc', + # b'a' in bytearray(b'abc') etc. all return True (and we want to show the error only + # if the check can _never_ be True). + return False + if isinstance(left, Instance) and isinstance(right, Instance): + # Special case some builtin implementations of AbstractSet. + left_name = left.type.fullname + right_name = right.type.fullname + if ( + left_name in OVERLAPPING_TYPES_ALLOWLIST + and right_name in OVERLAPPING_TYPES_ALLOWLIST + ): + abstract_set = self.chk.lookup_typeinfo("typing.AbstractSet") + left = map_instance_to_supertype(left, abstract_set) + right = map_instance_to_supertype(right, abstract_set) + return self.dangerous_comparison( + left.args[0], right.args[0], seen_types=seen_types + ) + elif left.type.has_base("typing.Mapping") and right.type.has_base("typing.Mapping"): + # Similar to above: Mapping ignores the classes, it just compares items. + abstract_map = self.chk.lookup_typeinfo("typing.Mapping") + left = map_instance_to_supertype(left, abstract_map) + right = map_instance_to_supertype(right, abstract_map) + return self.dangerous_comparison( + left.args[0], right.args[0], seen_types=seen_types + ) or self.dangerous_comparison(left.args[1], right.args[1], seen_types=seen_types) + elif left_name in ("builtins.list", "builtins.tuple") and right_name == left_name: + return self.dangerous_comparison( + left.args[0], right.args[0], seen_types=seen_types + ) + elif left_name in OVERLAPPING_BYTES_ALLOWLIST and right_name in ( + OVERLAPPING_BYTES_ALLOWLIST + ): + return False + if isinstance(left, LiteralType) and isinstance(right, LiteralType): + if isinstance(left.value, bool) and isinstance(right.value, bool): + # Comparing different booleans is not dangerous. + return False + if isinstance(left, LiteralType) and isinstance(right, Instance): + # bytes/bytearray comparisons are supported + if left.fallback.type.fullname == "builtins.bytes" and right.type.has_base( + "builtins.bytearray" + ): + return False + if isinstance(right, LiteralType) and isinstance(left, Instance): + # bytes/bytearray comparisons are supported + if right.fallback.type.fullname == "builtins.bytes" and left.type.has_base( + "builtins.bytearray" + ): + return False + return not is_overlapping_types(left, right, ignore_promotions=False) + + def check_method_call_by_name( + self, + method: str, + base_type: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + original_type: Type | None = None, + self_type: Type | None = None, + ) -> tuple[Type, Type]: + """Type check a call to a named method on an object. + + Return tuple (result type, inferred method type). The 'original_type' + is used for error messages. The self_type is to bind self in methods + (see analyze_member_access for more details). + """ + original_type = original_type or base_type + self_type = self_type or base_type + # Unions are special-cased to allow plugins to act on each element of the union. + base_type = get_proper_type(base_type) + if isinstance(base_type, UnionType): + return self.check_union_method_call_by_name( + method, base_type, args, arg_kinds, context, original_type + ) + + method_type = analyze_member_access( + method, + base_type, + context, + is_lvalue=False, + is_super=False, + is_operator=True, + original_type=original_type, + self_type=self_type, + chk=self.chk, + in_literal_context=self.is_literal_context(), + ) + return self.check_method_call(method, base_type, method_type, args, arg_kinds, context) + + def check_union_method_call_by_name( + self, + method: str, + base_type: UnionType, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + original_type: Type | None = None, + ) -> tuple[Type, Type]: + """Type check a call to a named method on an object with union type. + + This essentially checks the call using check_method_call_by_name() for each + union item and unions the result. We do this to allow plugins to act on + individual union items. + """ + res: list[Type] = [] + meth_res: list[Type] = [] + for typ in base_type.relevant_items(): + # Format error messages consistently with + # mypy.checkmember.analyze_union_member_access(). + with self.msg.disable_type_names(): + item, meth_item = self.check_method_call_by_name( + method, typ, args, arg_kinds, context, original_type + ) + res.append(item) + meth_res.append(meth_item) + return make_simplified_union(res), make_simplified_union(meth_res) + + def check_method_call( + self, + method_name: str, + base_type: Type, + method_type: Type, + args: list[Expression], + arg_kinds: list[ArgKind], + context: Context, + ) -> tuple[Type, Type]: + """Type check a call to a method with the given name and type on an object. + + Return tuple (result type, inferred method type). + """ + callable_name = self.method_fullname(base_type, method_name) + object_type = base_type if callable_name is not None else None + + # Try to refine the method signature using plugin hooks before checking the call. + method_type = self.transform_callee_type( + callable_name, method_type, args, arg_kinds, context, object_type=object_type + ) + + return self.check_call( + method_type, + args, + arg_kinds, + context, + callable_name=callable_name, + object_type=base_type, + ) + + def check_op_reversible( + self, + op_name: str, + left_type: Type, + left_expr: Expression, + right_type: Type, + right_expr: Expression, + context: Context, + ) -> tuple[Type, Type]: + def lookup_operator(op_name: str, base_type: Type) -> Type | None: + """Looks up the given operator and returns the corresponding type, + if it exists.""" + + # This check is an important performance optimization. + if not has_operator(base_type, op_name, self.named_type): + return None + + with self.msg.filter_errors() as w: + member = analyze_member_access( + name=op_name, + typ=base_type, + is_lvalue=False, + is_super=False, + is_operator=True, + original_type=base_type, + context=context, + chk=self.chk, + in_literal_context=self.is_literal_context(), + ) + return None if w.has_new_errors() else member + + def lookup_definer(typ: Instance, attr_name: str) -> str | None: + """Returns the name of the class that contains the actual definition of attr_name. + + So if class A defines foo and class B subclasses A, running + 'get_class_defined_in(B, "foo")` would return the full name of A. + + However, if B were to override and redefine foo, that method call would + return the full name of B instead. + + If the attr name is not present in the given class or its MRO, returns None. + """ + for cls in typ.type.mro: + if cls.names.get(attr_name): + return cls.fullname + return None + + left_type = get_proper_type(left_type) + right_type = get_proper_type(right_type) + + # If either the LHS or the RHS are Any, we can't really concluding anything + # about the operation since the Any type may or may not define an + # __op__ or __rop__ method. So, we punt and return Any instead. + + if isinstance(left_type, AnyType): + any_type = AnyType(TypeOfAny.from_another_any, source_any=left_type) + return any_type, any_type + if isinstance(right_type, AnyType): + any_type = AnyType(TypeOfAny.from_another_any, source_any=right_type) + return any_type, any_type + + # STEP 1: + # We start by getting the __op__ and __rop__ methods, if they exist. + + rev_op_name = operators.reverse_op_methods[op_name] + + left_op = lookup_operator(op_name, left_type) + right_op = lookup_operator(rev_op_name, right_type) + + # STEP 2a: + # We figure out in which order Python will call the operator methods. As it + # turns out, it's not as simple as just trying to call __op__ first and + # __rop__ second. + # + # We store the determined order inside the 'variants_raw' variable, + # which records tuples containing the method, base type, and the argument. + + if op_name in operators.op_methods_that_shortcut and is_same_type(left_type, right_type): + # When we do "A() + A()", for example, Python will only call the __add__ method, + # never the __radd__ method. + # + # This is the case even if the __add__ method is completely missing and the __radd__ + # method is defined. + + variants_raw = [(op_name, left_op, left_type, right_expr)] + elif ( + ( + # Checking (A implies B) using the logically equivalent (not A or B), where + # A: left and right are both `Instance` objects + # B: right's __rop__ method is different from left's __op__ method + not (isinstance(left_type, Instance) and isinstance(right_type, Instance)) + or ( + lookup_definer(left_type, op_name) != lookup_definer(right_type, rev_op_name) + and ( + left_type.type.alt_promote is None + or left_type.type.alt_promote.type is not right_type.type + ) + ) + ) + # Note: use `covers_at_runtime` instead of `is_subtype` (#19006) + and covers_at_runtime(right_type, left_type) + ): + # When we do "A() + B()" where B is a subclass of A, we'll actually try calling + # B's __radd__ method first, but ONLY if B explicitly defines or overrides the + # __radd__ method. + # + # This mechanism lets subclasses "refine" the expected outcome of the operation, even + # if they're located on the RHS. + # + # As a special case, the alt_promote check makes sure that we don't use the + # __radd__ method of int if the LHS is a native int type. + + variants_raw = [ + (rev_op_name, right_op, right_type, left_expr), + (op_name, left_op, left_type, right_expr), + ] + else: + # In all other cases, we do the usual thing and call __add__ first and + # __radd__ second when doing "A() + B()". + + variants_raw = [ + (op_name, left_op, left_type, right_expr), + (rev_op_name, right_op, right_type, left_expr), + ] + + # STEP 3: + # We now filter out all non-existent operators. The 'variants' list contains + # all operator methods that are actually present, in the order that Python + # attempts to invoke them. + + variants = [(na, op, obj, arg) for (na, op, obj, arg) in variants_raw if op is not None] + + # STEP 4: + # We now try invoking each one. If an operation succeeds, end early and return + # the corresponding result. Otherwise, return the result and errors associated + # with the first entry. + + errors = [] + results = [] + for name, method, obj, arg in variants: + with self.msg.filter_errors(save_filtered_errors=True) as local_errors: + result = self.check_method_call(name, obj, method, [arg], [ARG_POS], context) + if local_errors.has_new_errors(): + errors.append(local_errors.filtered_errors()) + results.append(result) + else: + return result + + # We finish invoking above operators and no early return happens. Therefore, + # we check if either the LHS or the RHS is Instance and fallbacks to Any, + # if so, we also return Any + if (isinstance(left_type, Instance) and left_type.type.fallback_to_any) or ( + isinstance(right_type, Instance) and right_type.type.fallback_to_any + ): + any_type = AnyType(TypeOfAny.special_form) + return any_type, any_type + + # STEP 4b: + # Sometimes, the variants list is empty. In that case, we fall-back to attempting to + # call the __op__ method (even though it's missing). + + if not variants: + with self.msg.filter_errors(save_filtered_errors=True) as local_errors: + result = self.check_method_call_by_name( + op_name, left_type, [right_expr], [ARG_POS], context + ) + + if local_errors.has_new_errors(): + errors.append(local_errors.filtered_errors()) + results.append(result) + else: + # Although we should not need this case anymore, we keep it just in case, as + # otherwise we will get a crash if we introduce inconsistency in checkmember.py + return result + + self.msg.add_errors(errors[0]) + if len(results) == 1: + return results[0] + else: + error_any = AnyType(TypeOfAny.from_error) + result = error_any, error_any + return result + + def check_op( + self, + method: str, + base_type: Type, + arg: Expression, + context: Context, + allow_reverse: bool = False, + ) -> tuple[Type, Type]: + """Type check a binary operation which maps to a method call. + + Return tuple (result type, inferred operator method type). + """ + + if allow_reverse: + left_variants = [base_type] + base_type = get_proper_type(base_type) + if isinstance(base_type, UnionType): + left_variants = list(flatten_nested_unions(base_type.relevant_items())) + right_type = self.accept(arg) + + # Step 1: We first try leaving the right arguments alone and destructure + # just the left ones. (Mypy can sometimes perform some more precise inference + # if we leave the right operands a union -- see testOperatorWithEmptyListAndSum.) + all_results = [] + all_inferred = [] + + with self.msg.filter_errors() as local_errors: + for left_possible_type in left_variants: + result, inferred = self.check_op_reversible( + op_name=method, + left_type=left_possible_type, + left_expr=TempNode(left_possible_type, context=context), + right_type=right_type, + right_expr=arg, + context=context, + ) + all_results.append(result) + all_inferred.append(inferred) + + if not local_errors.has_new_errors(): + results_final = make_simplified_union(all_results) + inferred_final = make_simplified_union(all_inferred) + return results_final, inferred_final + + # Step 2: If that fails, we try again but also destructure the right argument. + # This is also necessary to make certain edge cases work -- see + # testOperatorDoubleUnionInterwovenUnionAdd, for example. + + # Note: We want to pass in the original 'arg' for 'left_expr' and 'right_expr' + # whenever possible so that plugins and similar things can introspect on the original + # node if possible. + # + # We don't do the same for the base expression because it could lead to weird + # type inference errors -- e.g. see 'testOperatorDoubleUnionSum'. + # TODO: Can we use `type_overrides_set()` here? + right_variants = [(right_type, arg)] + right_type = get_proper_type(right_type) + if isinstance(right_type, UnionType): + right_variants = [ + (item, TempNode(item, context=context)) + for item in flatten_nested_unions(right_type.relevant_items()) + ] + + all_results = [] + all_inferred = [] + + with self.msg.filter_errors(save_filtered_errors=True) as local_errors: + for left_possible_type in left_variants: + for right_possible_type, right_expr in right_variants: + result, inferred = self.check_op_reversible( + op_name=method, + left_type=left_possible_type, + left_expr=TempNode(left_possible_type, context=context), + right_type=right_possible_type, + right_expr=right_expr, + context=context, + ) + all_results.append(result) + all_inferred.append(inferred) + + if local_errors.has_new_errors(): + self.msg.add_errors(local_errors.filtered_errors()) + # Point any notes to the same location as an existing message. + err = local_errors.filtered_errors()[-1] + recent_context = TempNode(NoneType()) + recent_context.line = err.line + recent_context.column = err.column + if len(left_variants) >= 2 and len(right_variants) >= 2: + self.msg.warn_both_operands_are_from_unions(recent_context) + elif len(left_variants) >= 2: + self.msg.warn_operand_was_from_union("Left", base_type, context=recent_context) + elif len(right_variants) >= 2: + self.msg.warn_operand_was_from_union( + "Right", right_type, context=recent_context + ) + + # See the comment in 'check_overload_call' for more details on why + # we call 'combine_function_signature' instead of just unioning the inferred + # callable types. + results_final = make_simplified_union(all_results) + inferred_final = self.combine_function_signatures(get_proper_types(all_inferred)) + return results_final, inferred_final + else: + return self.check_method_call_by_name( + method=method, + base_type=base_type, + args=[arg], + arg_kinds=[ARG_POS], + context=context, + ) + + def check_boolean_op(self, e: OpExpr) -> Type: + """Type check a boolean operation ('and' or 'or').""" + + # A boolean operation can evaluate to either of the operands. + + # We use the current type context to guide the type inference of + # the left operand. We also use the left operand type to guide the type + # inference of the right operand so that expressions such as + # '[1] or []' are inferred correctly. + ctx = self.type_context[-1] + left_type = self.accept(e.left, ctx) + expanded_left_type = try_expanding_sum_type_to_union(left_type, "builtins.bool") + + assert e.op in ("and", "or") # Checked by visit_op_expr + + left_map: mypy.checker.TypeMap + right_map: mypy.checker.TypeMap + if e.right_always: + left_map, right_map = {e.left: UninhabitedType()}, {} + elif e.right_unreachable: + left_map, right_map = {}, {e.right: UninhabitedType()} + elif e.op == "and": + right_map, left_map = self.chk.find_isinstance_check(e.left) + elif e.op == "or": + left_map, right_map = self.chk.find_isinstance_check(e.left) + + # If left_map is unreachable then we know mypy considers the left expression + # to be redundant. + left_unreachable = mypy.checker.is_unreachable_map(left_map) + if ( + codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes + and left_unreachable + # don't report an error if it's intentional + and not e.right_always + ): + self.msg.redundant_left_operand(e.op, e.left) + + right_unreachable = mypy.checker.is_unreachable_map(right_map) + if ( + self.chk.should_report_unreachable_issues() + and right_unreachable + # don't report an error if it's intentional + and not e.right_unreachable + ): + self.msg.unreachable_right_operand(e.op, e.right) + + right_type = self.analyze_cond_branch( + right_map, e.right, self._combined_context(expanded_left_type) + ) + + if left_unreachable and right_unreachable: + return UninhabitedType() + + if right_unreachable: + # The boolean expression is statically known to be the left value + return left_type + if left_unreachable: + # The boolean expression is statically known to be the right value + return right_type + + if e.op == "and": + restricted_left_type = false_only(expanded_left_type) + result_is_left = not expanded_left_type.can_be_true + elif e.op == "or": + restricted_left_type = true_only(expanded_left_type) + result_is_left = not expanded_left_type.can_be_false + + if isinstance(restricted_left_type, UninhabitedType): + # The left operand can never be the result + return right_type + elif result_is_left: + # The left operand is always the result + return left_type + else: + return make_simplified_union([restricted_left_type, right_type]) + + def check_list_multiply(self, e: OpExpr) -> Type: + """Type check an expression of form '[...] * e'. + + Type inference is special-cased for this common construct. + """ + right_type = self.accept(e.right) + if is_subtype(right_type, self.named_type("builtins.int")): + # Special case: [...] * . Use the type context of the + # OpExpr, since the multiplication does not affect the type. + left_type = self.accept(e.left, type_context=self.type_context[-1]) + else: + left_type = self.accept(e.left) + result, method_type = self.check_op("__mul__", left_type, e.right, e) + e.method_type = method_type + return result + + def visit_assignment_expr(self, e: AssignmentExpr) -> Type: + value = self.accept(e.value) + self.chk.check_assignment(e.target, e.value) + self.chk.check_final(e) + if not has_uninhabited_component(value): + # TODO: can we get rid of this extra store_type()? + # Usually, check_assignment() already stores the lvalue type correctly. + self.chk.store_type(e.target, value) + self.find_partial_type_ref_fast_path(e.target) + return value + + def visit_unary_expr(self, e: UnaryExpr) -> Type: + """Type check an unary operation ('not', '-', '+' or '~').""" + operand_type = self.accept(e.expr) + op = e.op + if op == "not": + result: Type = self.bool_type() + self.chk.check_for_truthy_type(operand_type, e.expr) + else: + method = operators.unary_op_methods[op] + result, method_type = self.check_method_call_by_name(method, operand_type, [], [], e) + e.method_type = method_type + return result + + def visit_index_expr(self, e: IndexExpr) -> Type: + """Type check an index expression (base[index]). + + It may also represent type application. + """ + result = self.visit_index_expr_helper(e) + result = self.narrow_type_from_binder(e, result) + p_result = get_proper_type(result) + if ( + self.is_literal_context() + and isinstance(p_result, Instance) + and p_result.last_known_value is not None + ): + result = p_result.last_known_value + return result + + def visit_index_expr_helper(self, e: IndexExpr) -> Type: + if e.analyzed: + # It's actually a type application. + return self.accept(e.analyzed) + left_type = self.accept(e.base) + return self.visit_index_with_type(left_type, e) + + def visit_index_with_type( + self, + left_type: Type, + e: IndexExpr, + original_type: ProperType | None = None, + self_type: Type | None = None, + ) -> Type: + """Analyze type of an index expression for a given type of base expression. + + The 'original_type' is used for error messages (currently used for union types). The + 'self_type' is to bind self in methods (see analyze_member_access for more details). + """ + index = e.index + self_type = self_type or left_type + left_type = get_proper_type(left_type) + + # Visit the index, just to make sure we have a type for it available + self.accept(index) + + if isinstance(left_type, TupleType) and any( + isinstance(it, UnpackType) for it in left_type.items + ): + # Normalize variadic tuples for consistency. + left_type = expand_type(left_type, {}) + + if isinstance(left_type, UnionType): + original_type = original_type or left_type + # Don't combine literal types, since we may need them for type narrowing. + return make_simplified_union( + [ + self.visit_index_with_type(typ, e, original_type) + for typ in left_type.relevant_items() + ], + contract_literals=False, + ) + elif isinstance(left_type, TupleType) and self.chk.in_checked_function(): + # Special case for tuples. They return a more specific type when + # indexed by an integer literal. + if isinstance(index, SliceExpr): + return self.visit_tuple_slice_helper(left_type, index) + + ns = self.try_getting_int_literals(index) + if ns is not None: + out = [] + for n in ns: + item = self.visit_tuple_index_helper(left_type, n) + if item is not None: + out.append(item) + else: + self.chk.fail(message_registry.TUPLE_INDEX_OUT_OF_RANGE, e) + if any(isinstance(t, UnpackType) for t in left_type.items): + min_len = self.min_tuple_length(left_type) + self.chk.note(f"Variadic tuple can have length {min_len}", e) + return AnyType(TypeOfAny.from_error) + return make_simplified_union(out) + else: + return self.nonliteral_tuple_index_helper(left_type, index) + elif isinstance(left_type, TypedDictType): + return self.visit_typeddict_index_expr(left_type, e.index)[0] + elif isinstance(left_type, FunctionLike) and left_type.is_type_obj(): + if left_type.type_object().is_enum: + return self.visit_enum_index_expr(left_type.type_object(), e.index, e) + elif ( + left_type.type_object().type_vars + or left_type.type_object().fullname == "builtins.type" + ): + return self.named_type("types.GenericAlias") + + if isinstance(left_type, TypeVarType): + return self.visit_index_with_type( + left_type.values_or_bound(), e, original_type, left_type + ) + elif isinstance(left_type, Instance) and left_type.type.fullname == "typing._SpecialForm": + # Allow special forms to be indexed and used to create union types + return self.named_type("typing._SpecialForm") + else: + result, method_type = self.check_method_call_by_name( + "__getitem__", + left_type, + [e.index], + [ARG_POS], + e, + original_type=original_type, + self_type=self_type, + ) + e.method_type = method_type + return result + + def min_tuple_length(self, left: TupleType) -> int: + unpack_index = find_unpack_in_list(left.items) + if unpack_index is None: + return left.length() + unpack = left.items[unpack_index] + assert isinstance(unpack, UnpackType) + if isinstance(unpack.type, TypeVarTupleType): + return left.length() - 1 + unpack.type.min_len + return left.length() - 1 + + def visit_tuple_index_helper(self, left: TupleType, n: int) -> Type | None: + unpack_index = find_unpack_in_list(left.items) + if unpack_index is None: + if n < 0: + n += len(left.items) + if 0 <= n < len(left.items): + return left.items[n] + return None + unpack = left.items[unpack_index] + assert isinstance(unpack, UnpackType) + unpacked = get_proper_type(unpack.type) + if isinstance(unpacked, TypeVarTupleType): + # Usually we say that TypeVarTuple can't be split, be in case of + # indexing it seems benign to just return the upper bound item, similar + # to what we do when indexing a regular TypeVar. + bound = get_proper_type(unpacked.upper_bound) + assert isinstance(bound, Instance) + assert bound.type.fullname == "builtins.tuple" + middle = bound.args[0] + else: + assert isinstance(unpacked, Instance) + assert unpacked.type.fullname == "builtins.tuple" + middle = unpacked.args[0] + + extra_items = self.min_tuple_length(left) - left.length() + 1 + if n >= 0: + if n >= self.min_tuple_length(left): + # For tuple[int, *tuple[str, ...], int] we allow either index 0 or 1, + # since variadic item may have zero items. + return None + if n < unpack_index: + return left.items[n] + return UnionType.make_union( + [middle] + + left.items[unpack_index + 1 : max(n - extra_items + 2, unpack_index + 1)], + left.line, + left.column, + ) + n += self.min_tuple_length(left) + if n < 0: + # Similar to above, we only allow -1, and -2 for tuple[int, *tuple[str, ...], int] + return None + if n >= unpack_index + extra_items: + return left.items[n - extra_items + 1] + return UnionType.make_union( + left.items[min(n, unpack_index) : unpack_index] + [middle], left.line, left.column + ) + + def visit_tuple_slice_helper(self, left_type: TupleType, slic: SliceExpr) -> Type: + begin: Sequence[int | None] = [None] + end: Sequence[int | None] = [None] + stride: Sequence[int | None] = [None] + + if slic.begin_index: + begin_raw = self.try_getting_int_literals(slic.begin_index) + if begin_raw is None: + return self.nonliteral_tuple_index_helper(left_type, slic) + begin = begin_raw + + if slic.end_index: + end_raw = self.try_getting_int_literals(slic.end_index) + if end_raw is None: + return self.nonliteral_tuple_index_helper(left_type, slic) + end = end_raw + + if slic.stride: + stride_raw = self.try_getting_int_literals(slic.stride) + if stride_raw is None: + return self.nonliteral_tuple_index_helper(left_type, slic) + stride = stride_raw + + items: list[Type] = [] + for b, e, s in itertools.product(begin, end, stride): + item = left_type.slice(b, e, s, fallback=self.named_type("builtins.tuple")) + if item is None: + self.chk.fail(message_registry.AMBIGUOUS_SLICE_OF_VARIADIC_TUPLE, slic) + return AnyType(TypeOfAny.from_error) + items.append(item) + return make_simplified_union(items) + + def try_getting_int_literals(self, index: Expression) -> list[int] | None: + """If the given expression or type corresponds to an int literal + or a union of int literals, returns a list of the underlying ints. + Otherwise, returns None. + + Specifically, this function is guaranteed to return a list with + one or more ints if one the following is true: + + 1. 'expr' is a IntExpr or a UnaryExpr backed by an IntExpr + 2. 'typ' is a LiteralType containing an int + 3. 'typ' is a UnionType containing only LiteralType of ints + """ + if isinstance(index, IntExpr): + return [index.value] + elif isinstance(index, UnaryExpr): + if index.op == "-": + operand = index.expr + if isinstance(operand, IntExpr): + return [-1 * operand.value] + if index.op == "+": + operand = index.expr + if isinstance(operand, IntExpr): + return [operand.value] + typ = get_proper_type(self.accept(index)) + if isinstance(typ, Instance) and typ.last_known_value is not None: + typ = typ.last_known_value + if isinstance(typ, LiteralType) and isinstance(typ.value, int): + return [typ.value] + if isinstance(typ, UnionType): + out = [] + for item in get_proper_types(typ.items): + if isinstance(item, LiteralType) and isinstance(item.value, int): + out.append(item.value) + else: + return None + return out + return None + + def nonliteral_tuple_index_helper(self, left_type: TupleType, index: Expression) -> Type: + self.check_method_call_by_name("__getitem__", left_type, [index], [ARG_POS], context=index) + # We could return the return type from above, but unions are often better than the join + union = self.union_tuple_fallback_item(left_type) + if isinstance(index, SliceExpr): + return self.chk.named_generic_type("builtins.tuple", [union]) + return union + + def union_tuple_fallback_item(self, left_type: TupleType) -> Type: + # TODO: this duplicates logic in typeops.tuple_fallback(). + items = [] + for item in left_type.items: + if isinstance(item, UnpackType): + unpacked_type = get_proper_type(item.type) + if isinstance(unpacked_type, TypeVarTupleType): + unpacked_type = get_proper_type(unpacked_type.upper_bound) + if ( + isinstance(unpacked_type, Instance) + and unpacked_type.type.fullname == "builtins.tuple" + ): + items.append(unpacked_type.args[0]) + else: + raise NotImplementedError + else: + items.append(item) + return make_simplified_union(items) + + def visit_typeddict_index_expr( + self, td_type: TypedDictType, index: Expression, setitem: bool = False + ) -> tuple[Type, set[str]]: + if isinstance(index, StrExpr): + key_names = [index.value] + else: + typ = get_proper_type(self.accept(index)) + if isinstance(typ, UnionType): + key_types: list[Type] = list(typ.items) + else: + key_types = [typ] + + key_names = [] + for key_type in get_proper_types(key_types): + if isinstance(key_type, Instance) and key_type.last_known_value is not None: + key_type = key_type.last_known_value + + if ( + isinstance(key_type, LiteralType) + and isinstance(key_type.value, str) + and key_type.fallback.type.fullname != "builtins.bytes" + ): + key_names.append(key_type.value) + else: + self.msg.typeddict_key_must_be_string_literal(td_type, index) + return AnyType(TypeOfAny.from_error), set() + + value_types = [] + for key_name in key_names: + value_type = td_type.items.get(key_name) + if value_type is None: + self.msg.typeddict_key_not_found(td_type, key_name, index, setitem) + return AnyType(TypeOfAny.from_error), set() + else: + value_types.append(value_type) + return make_simplified_union(value_types), set(key_names) + + def visit_enum_index_expr( + self, enum_type: TypeInfo, index: Expression, context: Context + ) -> Type: + string_type: Type = self.named_type("builtins.str") + self.chk.check_subtype( + self.accept(index), + string_type, + context, + "Enum index should be a string", + "actual index type", + ) + return Instance(enum_type, []) + + def visit_cast_expr(self, expr: CastExpr) -> Type: + """Type check a cast expression.""" + source_type = self.accept( + expr.expr, + type_context=AnyType(TypeOfAny.special_form), + allow_none_return=True, + always_allow_any=True, + ) + target_type = expr.type + options = self.chk.options + if ( + options.warn_redundant_casts + and not is_same_type(target_type, AnyType(TypeOfAny.special_form)) + and is_same_type(source_type, target_type) + ): + self.msg.redundant_cast(target_type, expr) + if options.disallow_any_unimported and has_any_from_unimported_type(target_type): + self.msg.unimported_type_becomes_any("Target type of cast", target_type, expr) + check_for_explicit_any( + target_type, self.chk.options, self.chk.is_typeshed_stub, self.msg, context=expr + ) + return target_type + + def visit_type_form_expr(self, expr: TypeFormExpr) -> Type: + typ = expr.type + return TypeType.make_normalized(typ, line=typ.line, column=typ.column, is_type_form=True) + + def visit_assert_type_expr(self, expr: AssertTypeExpr) -> Type: + source_type = self.accept( + expr.expr, + type_context=self.type_context[-1], + allow_none_return=True, + always_allow_any=True, + ) + if self.chk.current_node_deferred: + return source_type + + target_type = expr.type + proper_source_type = get_proper_type(source_type) + if ( + isinstance(proper_source_type, mypy.types.Instance) + and proper_source_type.last_known_value is not None + ): + source_type = proper_source_type.last_known_value + if not is_same_type(source_type, target_type): + if not self.chk.in_checked_function(): + self.msg.note( + '"assert_type" expects everything to be "Any" in unchecked functions', + expr.expr, + ) + self.msg.assert_type_fail(source_type, target_type, expr) + return source_type + + def visit_reveal_expr(self, expr: RevealExpr) -> Type: + """Type check a reveal_type expression.""" + if expr.kind == REVEAL_TYPE: + assert expr.expr is not None + revealed_type = self.accept( + expr.expr, type_context=self.type_context[-1], allow_none_return=True + ) + if not self.chk.current_node_deferred: + self.msg.reveal_type(revealed_type, expr.expr) + if not self.chk.in_checked_function(): + self.msg.note( + "'reveal_type' always outputs 'Any' in unchecked functions", expr.expr + ) + self.check_reveal_imported(expr) + return revealed_type + else: + # REVEAL_LOCALS + if not self.chk.current_node_deferred: + # the RevealExpr contains a local_nodes attribute, + # calculated at semantic analysis time. Use it to pull out the + # corresponding subset of variables in self.chk.type_map + names_to_types = ( + {var_node.name: var_node.type for var_node in expr.local_nodes} + if expr.local_nodes is not None + else {} + ) + + self.msg.reveal_locals(names_to_types, expr) + self.check_reveal_imported(expr) + return NoneType() + + def check_reveal_imported(self, expr: RevealExpr) -> None: + if codes.UNIMPORTED_REVEAL not in self.chk.options.enabled_error_codes: + return + + name = "" + if expr.kind == REVEAL_LOCALS: + name = "reveal_locals" + elif expr.kind == REVEAL_TYPE and not expr.is_imported: + name = "reveal_type" + else: + return + + self.chk.fail(f'Name "{name}" is not defined', expr, code=codes.UNIMPORTED_REVEAL) + if name == "reveal_type": + module = ( + "typing" if self.chk.options.python_version >= (3, 11) else "typing_extensions" + ) + hint = ( + 'Did you forget to import it from "{module}"?' + ' (Suggestion: "from {module} import {name}")' + ).format(module=module, name=name) + self.chk.note(hint, expr, code=codes.UNIMPORTED_REVEAL) + + def visit_type_application(self, tapp: TypeApplication) -> Type: + """Type check a type application (expr[type, ...]). + + There are two different options here, depending on whether expr refers + to a type alias or directly to a generic class. In the first case we need + to use a dedicated function typeanal.instantiate_type_alias(). This + is due to slight differences in how type arguments are applied and checked. + """ + if isinstance(tapp.expr, RefExpr) and isinstance(tapp.expr.node, TypeAlias): + if tapp.expr.node.python_3_12_type_alias: + return self.type_alias_type_type() + # Subscription of a (generic) alias in runtime context, expand the alias. + item = instantiate_type_alias( + tapp.expr.node, + tapp.types, + self.chk.fail, + tapp.expr.node.no_args, + tapp, + self.chk.options, + ) + item = get_proper_type(item) + if isinstance(item, Instance): + tp = type_object_type(item.type, self.named_type) + return self.apply_type_arguments_to_callable(tp, item.args, tapp) + elif isinstance(item, TupleType) and item.partial_fallback.type.is_named_tuple: + tp = type_object_type(item.partial_fallback.type, self.named_type) + return self.apply_type_arguments_to_callable(tp, item.partial_fallback.args, tapp) + elif isinstance(item, TypedDictType): + return self.typeddict_callable_from_context(item) + else: + self.chk.fail(message_registry.ONLY_CLASS_APPLICATION, tapp) + return AnyType(TypeOfAny.from_error) + # Type application of a normal generic class in runtime context. + # This is typically used as `x = G[int]()`. + tp = get_proper_type(self.accept(tapp.expr)) + if isinstance(tp, (CallableType, Overloaded)): + if not tp.is_type_obj(): + self.chk.fail(message_registry.ONLY_CLASS_APPLICATION, tapp) + return self.apply_type_arguments_to_callable(tp, tapp.types, tapp) + if isinstance(tp, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=tp) + return AnyType(TypeOfAny.special_form) + + def visit_type_alias_expr(self, alias: TypeAliasExpr) -> Type: + """Right hand side of a type alias definition. + + It has the same type as if the alias itself was used in a runtime context. + For example, here: + + A = reveal_type(List[T]) + reveal_type(A) + + both `reveal_type` instances will reveal the same type `def (...) -> builtins.list[Any]`. + Note that type variables are implicitly substituted with `Any`. + """ + return self.alias_type_in_runtime_context(alias.node, ctx=alias, alias_definition=True) + + def alias_type_in_runtime_context( + self, alias: TypeAlias, *, ctx: Context, alias_definition: bool = False + ) -> Type: + """Get type of a type alias (could be generic) in a runtime expression. + + Note that this function can be called only if the alias appears _not_ + as a target of type application, which is treated separately in the + visit_type_application method. Some examples where this method is called are + casts and instantiation: + + class LongName(Generic[T]): ... + A = LongName[int] + + x = A() + y = cast(A, ...) + """ + if alias.python_3_12_type_alias: + return self.type_alias_type_type() + # If this is a generic alias, we set all variables to `Any`. + # For example: + # A = List[Tuple[T, T]] + # x = A() <- same as List[Tuple[Any, Any]], see PEP 484. + disallow_any = self.chk.options.disallow_any_generics and self.is_callee + item = get_proper_type( + set_any_tvars( + alias, + [], + ctx.line, + ctx.column, + self.chk.options, + disallow_any=disallow_any, + fail=self.msg.fail, + ) + ) + if isinstance(item, Instance): + # Normally we get a callable type (or overloaded) with .is_type_obj() true + # representing the class's constructor + tp = type_object_type(item.type, self.named_type) + if alias.no_args: + return tp + return self.apply_type_arguments_to_callable(tp, item.args, ctx) + elif ( + isinstance(item, TupleType) + and + # Tuple[str, int]() fails at runtime, only named tuples and subclasses work. + tuple_fallback(item).type.fullname != "builtins.tuple" + ): + return type_object_type(tuple_fallback(item).type, self.named_type) + elif isinstance(item, TypedDictType): + return self.typeddict_callable_from_context(item) + elif isinstance(item, NoneType): + return TypeType(item, line=item.line, column=item.column) + elif isinstance(item, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=item) + elif ( + isinstance(item, UnionType) + and item.uses_pep604_syntax + and self.chk.options.python_version >= (3, 10) + ): + return self.chk.named_generic_type("types.UnionType", item.items) + else: + if alias_definition: + return AnyType(TypeOfAny.special_form) + # The _SpecialForm type can be used in some runtime contexts (e.g. it may have __or__). + return self.named_type("typing._SpecialForm") + + def split_for_callable( + self, t: CallableType, args: Sequence[Type], ctx: Context + ) -> list[Type]: + """Handle directly applying type arguments to a variadic Callable. + + This is needed in situations where e.g. variadic class object appears in + runtime context. For example: + class C(Generic[T, Unpack[Ts]]): ... + x = C[int, str]() + + We simply group the arguments that need to go into Ts variable into a TupleType, + similar to how it is done in other places using split_with_prefix_and_suffix(). + """ + if t.is_type_obj(): + # Type arguments must map to class type variables, ignoring constructor vars. + vars = t.type_object().defn.type_vars + else: + vars = list(t.variables) + args = flatten_nested_tuples(args) + + # TODO: this logic is duplicated with semanal_typeargs. + for tv, arg in zip(t.variables, args): + if isinstance(tv, ParamSpecType): + if not isinstance( + get_proper_type(arg), (Parameters, ParamSpecType, AnyType, UnboundType) + ): + self.chk.fail( + "Can only replace ParamSpec with a parameter types list or" + f" another ParamSpec, got {format_type(arg, self.chk.options)}", + ctx, + ) + return [AnyType(TypeOfAny.from_error)] * len(vars) + + # TODO: in future we may want to support type application to variadic functions. + if ( + not vars + or not any(isinstance(v, TypeVarTupleType) for v in vars) + or not t.is_type_obj() + ): + return list(args) + info = t.type_object() + # We reuse the logic from semanal phase to reduce code duplication. + fake = Instance(info, args, line=ctx.line, column=ctx.column) + # This code can be only called either from checking a type application, or from + # checking a type alias (after the caller handles no_args aliases), so we know it + # was initially an IndexExpr, and we allow empty tuple type arguments. + if not validate_instance(fake, self.chk.fail, indexed=True): + fix_instance( + fake, self.chk.fail, self.chk.note, disallow_any=False, options=self.chk.options + ) + args = list(fake.args) + + prefix = next(i for (i, v) in enumerate(vars) if isinstance(v, TypeVarTupleType)) + suffix = len(vars) - prefix - 1 + tvt = vars[prefix] + assert isinstance(tvt, TypeVarTupleType) + start, middle, end = split_with_prefix_and_suffix(tuple(args), prefix, suffix) + return list(start) + [TupleType(list(middle), tvt.tuple_fallback)] + list(end) + + def apply_type_arguments_to_callable( + self, tp: Type, args: Sequence[Type], ctx: Context + ) -> Type: + """Apply type arguments to a generic callable type coming from a type object. + + This will first perform type arguments count checks, report the + error as needed, and return the correct kind of Any. As a special + case this returns Any for non-callable types, because if type object type + is not callable, then an error should be already reported. + """ + tp = get_proper_type(tp) + + if isinstance(tp, CallableType): + if tp.is_type_obj(): + # If we have a class object in runtime context, then the available type + # variables are those of the class, we don't include additional variables + # of the constructor. So that with + # class C(Generic[T]): + # def __init__(self, f: Callable[[S], T], x: S) -> None + # C[int] is valid + # C[int, str] is invalid (although C as a callable has 2 type variables) + # Note: various logic below and in applytype.py relies on the fact that + # class type variables appear *before* constructor variables. + type_vars = tp.type_object().defn.type_vars + else: + type_vars = list(tp.variables) + min_arg_count = sum(not v.has_default() for v in type_vars) + has_type_var_tuple = any(isinstance(v, TypeVarTupleType) for v in type_vars) + if ( + len(args) < min_arg_count or len(args) > len(type_vars) + ) and not has_type_var_tuple: + if tp.is_type_obj() and tp.type_object().fullname == "builtins.tuple": + # e.g. expression tuple[X, Y] + # - want the type of the expression i.e. a function with that as its return type + # - tp is type of tuple (note it won't have params as we are only called + # with generic callable type) + # - tuple[X, Y]() takes a single arg that is a tuple containing an X and a Y + return CallableType( + [TupleType(list(args), self.chk.named_type("tuple"))], + [ARG_POS], + [None], + TupleType(list(args), self.chk.named_type("tuple")), + tp.fallback, + name="tuple", + definition=tp.definition, + is_bound=tp.is_bound, + ) + self.msg.incompatible_type_application( + min_arg_count, len(type_vars), len(args), ctx + ) + return AnyType(TypeOfAny.from_error) + return self.apply_generic_arguments(tp, self.split_for_callable(tp, args, ctx), ctx) + if isinstance(tp, Overloaded): + for it in tp.items: + if tp.is_type_obj(): + # Same as above. + type_vars = tp.type_object().defn.type_vars + else: + type_vars = list(it.variables) + min_arg_count = sum(not v.has_default() for v in type_vars) + has_type_var_tuple = any(isinstance(v, TypeVarTupleType) for v in type_vars) + if ( + len(args) < min_arg_count or len(args) > len(type_vars) + ) and not has_type_var_tuple: + self.msg.incompatible_type_application( + min_arg_count, len(type_vars), len(args), ctx + ) + return AnyType(TypeOfAny.from_error) + return Overloaded( + [ + self.apply_generic_arguments(it, self.split_for_callable(it, args, ctx), ctx) + for it in tp.items + ] + ) + return AnyType(TypeOfAny.special_form) + + def visit_list_expr(self, e: ListExpr) -> Type: + """Type check a list expression [...].""" + return self.check_lst_expr(e, "builtins.list", "") + + def visit_set_expr(self, e: SetExpr) -> Type: + return self.check_lst_expr(e, "builtins.set", "") + + def fast_container_type( + self, e: ListExpr | SetExpr | TupleExpr, container_fullname: str + ) -> Type | None: + """ + Fast path to determine the type of a list or set literal, + based on the list of entries. This mostly impacts large + module-level constant definitions. + + Limitations: + + - no active type context + - at least one item + - no star expressions + - not after deferral + - either exactly one distinct type inside, + or the joined type of all entries is an Instance or Tuple type, + """ + ctx = self.type_context[-1] + if ctx or not e.items: + return None + if self.chk.current_node_deferred: + # Guarantees that all items will be Any, we'll reject it anyway. + return None + values: list[Type] = [] + # Preserve join order while avoiding O(n) lookups at every iteration + values_set: set[Type] = set() + for item in e.items: + if isinstance(item, StarExpr): + # fallback to slow path + return None + + typ = self.accept(item) + if typ not in values_set: + values.append(typ) + values_set.add(typ) + + vt = self._first_or_join_fast_item(values) + if vt is None: + return None + return self.chk.named_generic_type(container_fullname, [vt]) + + def _first_or_join_fast_item(self, items: list[Type]) -> Type | None: + if len(items) == 1 and not self.chk.current_node_deferred: + return items[0] + typ = join.join_type_list(items) + if not allow_fast_container_literal(typ): + # TODO: This is overly strict, many other types can be joined safely here. + # However, our join implementation isn't bug-free, and some joins may produce + # undesired `Any`s or even more surprising results. + return None + return typ + + def check_lst_expr(self, e: ListExpr | SetExpr | TupleExpr, fullname: str, tag: str) -> Type: + # fast path + t = self.fast_container_type(e, fullname) + if t: + return t + + # Translate into type checking a generic function call. + # Used for list and set expressions, as well as for tuples + # containing star expressions that don't refer to a + # Tuple. (Note: "lst" stands for list-set-tuple. :-) + tv = TypeVarType( + "T", + "T", + id=TypeVarId(-1, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + constructor = CallableType( + [tv], + [nodes.ARG_STAR], + [None], + self.chk.named_generic_type(fullname, [tv]), + self.named_type("builtins.function"), + name=tag, + variables=[tv], + ) + out = self.check_call( + constructor, + [(i.expr if isinstance(i, StarExpr) else i) for i in e.items], + [(nodes.ARG_STAR if isinstance(i, StarExpr) else nodes.ARG_POS) for i in e.items], + e, + )[0] + return remove_instance_last_known_values(out) + + def tuple_context_matches(self, expr: TupleExpr, ctx: TupleType) -> bool: + ctx_unpack_index = find_unpack_in_list(ctx.items) + if ctx_unpack_index is None: + # For fixed tuples accept everything that can possibly match, even if this + # requires all star items to be empty. + return len([e for e in expr.items if not isinstance(e, StarExpr)]) <= len(ctx.items) + # For variadic context, the only easy case is when structure matches exactly. + # TODO: try using tuple type context in more cases. + if len([e for e in expr.items if isinstance(e, StarExpr)]) != 1: + return False + expr_star_index = next(i for i, lv in enumerate(expr.items) if isinstance(lv, StarExpr)) + return len(expr.items) == len(ctx.items) and ctx_unpack_index == expr_star_index + + def visit_tuple_expr(self, e: TupleExpr) -> Type: + """Type check a tuple expression.""" + # Try to determine type context for type inference. + type_context = get_proper_type(self.type_context[-1]) + type_context_items = None + if isinstance(type_context, UnionType): + tuples_in_context = [ + t + for t in get_proper_types(type_context.items) + if (isinstance(t, TupleType) and self.tuple_context_matches(e, t)) + or is_named_instance(t, TUPLE_LIKE_INSTANCE_NAMES) + ] + if len(tuples_in_context) == 1: + type_context = tuples_in_context[0] + else: + # There are either no relevant tuples in the Union, or there is + # more than one. Either way, we can't decide on a context. + pass + + if isinstance(type_context, TupleType) and self.tuple_context_matches(e, type_context): + type_context_items = type_context.items + elif type_context and is_named_instance(type_context, TUPLE_LIKE_INSTANCE_NAMES): + assert isinstance(type_context, Instance) + if type_context.args: + type_context_items = [type_context.args[0]] * len(e.items) + # NOTE: it's possible for the context to have a different + # number of items than e. In that case we use those context + # items that match a position in e, and we'll worry about type + # mismatches later. + + unpack_in_context = False + if type_context_items is not None: + unpack_in_context = find_unpack_in_list(type_context_items) is not None + seen_unpack_in_items = False + allow_precise_tuples = ( + unpack_in_context or PRECISE_TUPLE_TYPES in self.chk.options.enable_incomplete_feature + ) + + # Infer item types. Give up if there's a star expression + # that's not a Tuple. + items: list[Type] = [] + j = 0 # Index into type_context_items; irrelevant if type_context_items is none + for i in range(len(e.items)): + item = e.items[i] + if isinstance(item, StarExpr): + # Special handling for star expressions. + # TODO: If there's a context, and item.expr is a + # TupleExpr, flatten it, so we can benefit from the + # context? Counterargument: Why would anyone write + # (1, *(2, 3)) instead of (1, 2, 3) except in a test? + if unpack_in_context: + # Note: this logic depends on full structure match in tuple_context_matches(). + assert type_context_items + ctx_item = type_context_items[j] + assert isinstance(ctx_item, UnpackType) + ctx = ctx_item.type + else: + ctx = None + tt = self.accept(item.expr, ctx) + tt = get_proper_type(tt) + if isinstance(tt, TupleType): + if find_unpack_in_list(tt.items) is not None: + if seen_unpack_in_items: + # Multiple unpack items are not allowed in tuples, + # fall back to instance type. + return self.check_lst_expr(e, "builtins.tuple", "") + else: + seen_unpack_in_items = True + items.extend(tt.items) + # Note: this logic depends on full structure match in tuple_context_matches(). + if unpack_in_context: + j += 1 + else: + # If there is an unpack in expressions, but not in context, this will + # result in an error later, just do something predictable here. + j += len(tt.items) + else: + if allow_precise_tuples and not seen_unpack_in_items: + # Handle (x, *y, z), where y is e.g. tuple[Y, ...]. + if isinstance(tt, Instance) and self.chk.type_is_iterable(tt): + item_type = self.chk.iterable_item_type(tt, e) + mapped = self.chk.named_generic_type("builtins.tuple", [item_type]) + items.append(UnpackType(mapped)) + seen_unpack_in_items = True + continue + # A star expression that's not a Tuple. + # Treat the whole thing as a variable-length tuple. + return self.check_lst_expr(e, "builtins.tuple", "") + else: + if not type_context_items or j >= len(type_context_items): + tt = self.accept(item) + else: + tt = self.accept(item, type_context_items[j]) + j += 1 + items.append(tt) + # This is a partial fallback item type. A precise type will be calculated on demand. + fallback_item = AnyType(TypeOfAny.special_form) + result: ProperType = TupleType( + items, self.chk.named_generic_type("builtins.tuple", [fallback_item]) + ) + if seen_unpack_in_items: + # Return already normalized tuple type just in case. + result = expand_type(result, {}) + return result + + def fast_dict_type(self, e: DictExpr) -> Type | None: + """ + Fast path to determine the type of a dict literal, + based on the list of entries. This mostly impacts large + module-level constant definitions. + + Limitations: + + - no active type context + - at least one item + - only supported star expressions are other dict instances + - either exactly one distinct type (keys and values separately) inside, + or the joined type of all entries is an Instance or Tuple type + """ + ctx = self.type_context[-1] + if ctx or not e.items: + return None + + if self.chk.current_node_deferred: + # Guarantees that all items will be Any, we'll reject it anyway. + return None + + keys: list[Type] = [] + values: list[Type] = [] + # Preserve join order while avoiding O(n) lookups at every iteration + keys_set: set[Type] = set() + values_set: set[Type] = set() + stargs: tuple[Type, Type] | None = None + for key, value in e.items: + if key is None: + st = get_proper_type(self.accept(value)) + if ( + isinstance(st, Instance) + and st.type.fullname == "builtins.dict" + and len(st.args) == 2 + ): + stargs = (st.args[0], st.args[1]) + else: + return None + else: + key_t = self.accept(key) + if key_t not in keys_set: + keys.append(key_t) + keys_set.add(key_t) + value_t = self.accept(value) + if value_t not in values_set: + values.append(value_t) + values_set.add(value_t) + + kt = self._first_or_join_fast_item(keys) + if kt is None: + return None + + vt = self._first_or_join_fast_item(values) + if vt is None: + return None + + if stargs and (stargs[0] != kt or stargs[1] != vt): + return None + return self.chk.named_generic_type("builtins.dict", [kt, vt]) + + def check_typeddict_literal_in_context( + self, e: DictExpr, typeddict_context: TypedDictType + ) -> Type: + orig_ret_type = self.check_typeddict_call_with_dict( + callee=typeddict_context, kwargs=e.items, context=e, orig_callee=None + ) + ret_type = get_proper_type(orig_ret_type) + if isinstance(ret_type, TypedDictType): + return ret_type.copy_modified() + return typeddict_context.copy_modified() + + def visit_dict_expr(self, e: DictExpr) -> Type: + """Type check a dict expression. + + Translate it into a call to dict(), with provisions for **expr. + """ + # if the dict literal doesn't match TypedDict, check_typeddict_call_with_dict reports + # an error, but returns the TypedDict type that matches the literal it found + # that would cause a second error when that TypedDict type is returned upstream + # to avoid the second error, we always return TypedDict type that was requested + typeddict_contexts, exhaustive = self.find_typeddict_context(self.type_context[-1], e) + if typeddict_contexts: + if len(typeddict_contexts) == 1 and exhaustive: + return self.check_typeddict_literal_in_context(e, typeddict_contexts[0]) + # Multiple items union, check if at least one of them matches cleanly. + for typeddict_context in typeddict_contexts: + with self.msg.filter_errors() as err, self.chk.local_type_map as tmap: + ret_type = self.check_typeddict_literal_in_context(e, typeddict_context) + if err.has_new_errors(): + continue + self.chk.store_types(tmap) + return ret_type + # No item matched without an error, so we can't unambiguously choose the item. + if exhaustive: + self.msg.typeddict_context_ambiguous(typeddict_contexts, e) + + # fast path attempt + dt = self.fast_dict_type(e) + if dt: + return dt + + # Define type variables (used in constructors below). + kt = TypeVarType( + "KT", + "KT", + id=TypeVarId(-1, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + vt = TypeVarType( + "VT", + "VT", + id=TypeVarId(-2, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + + # Collect function arguments, watching out for **expr. + args: list[Expression] = [] + expected_types: list[Type] = [] + for key, value in e.items: + if key is None: + args.append(value) + expected_types.append( + self.chk.named_generic_type("_typeshed.SupportsKeysAndGetItem", [kt, vt]) + ) + else: + tup = TupleExpr([key, value]) + if key.line >= 0: + tup.line = key.line + tup.column = key.column + else: + tup.line = value.line + tup.column = value.column + tup.end_line = value.end_line + tup.end_column = value.end_column + args.append(tup) + expected_types.append(TupleType([kt, vt], self.named_type("builtins.tuple"))) + + # The callable type represents a function like this (except we adjust for **expr): + # def (*v: Tuple[kt, vt]) -> Dict[kt, vt]: ... + constructor = CallableType( + expected_types, + [nodes.ARG_POS] * len(expected_types), + [None] * len(expected_types), + self.chk.named_generic_type("builtins.dict", [kt, vt]), + self.named_type("builtins.function"), + name="", + variables=[kt, vt], + ) + return self.check_call(constructor, args, [nodes.ARG_POS] * len(args), e)[0] + + def find_typeddict_context( + self, context: Type | None, dict_expr: DictExpr + ) -> tuple[list[TypedDictType], bool]: + """Extract `TypedDict` members of the enclosing context. + + Returns: + a 2-tuple, (found_candidates, is_exhaustive) + """ + context = get_proper_type(context) + if isinstance(context, TypedDictType): + return [context], True + elif isinstance(context, UnionType): + items = [] + exhaustive = True + for item in context.items: + item_contexts, item_exhaustive = self.find_typeddict_context(item, dict_expr) + for item_context in item_contexts: + if self.match_typeddict_call_with_dict( + item_context, dict_expr.items, dict_expr + ): + items.append(item_context) + exhaustive = exhaustive and item_exhaustive + return items, exhaustive + # No TypedDict type in context. + return [], False + + def visit_template_str_expr(self, e: TemplateStrExpr) -> Type: + """Type check a template string expression (t-string). + + Type-checks all interpolated expressions but the result is always + string.templatelib.Template. + """ + for item in e.items: + if isinstance(item, tuple): + value_expr, _source, _conversion, format_spec = item + self.accept(value_expr) + if format_spec is not None: + self.accept(format_spec) + sym = lookup_fully_qualified("string.templatelib.Template", self.chk.modules) + if sym is not None and isinstance(sym.node, TypeInfo): + return Instance(sym.node, []) + return AnyType(TypeOfAny.from_error) + + def visit_lambda_expr(self, e: LambdaExpr) -> Type: + """Type check lambda expression.""" + old_in_lambda = self.in_lambda_expr + self.in_lambda_expr = True + self.chk.check_default_params(e, body_is_trivial=False) + inferred_type, type_override = self.infer_lambda_type_using_context(e) + if not inferred_type: + self.chk.return_types.append(AnyType(TypeOfAny.special_form)) + # Type check everything in the body except for the final return + # statement (it can contain tuple unpacking before return). + with ( + self.chk.binder.frame_context(can_skip=True, fall_through=0), + self.chk.scope.push_function(e), + ): + # Lambdas can have more than one element in body, + # when we add "fictional" AssignmentStatement nodes, like in: + # `lambda (a, b): a` + for stmt in e.body.body[:-1]: + stmt.accept(self.chk) + # Only type check the return expression, not the return statement. + # There's no useful type context. + ret_type = self.accept(e.expr(), allow_none_return=True) + fallback = self.named_type("builtins.function") + self.chk.return_types.pop() + self.in_lambda_expr = old_in_lambda + return callable_type(e, fallback, ret_type) + else: + # Type context available. + self.chk.return_types.append(inferred_type.ret_type) + with self.chk.tscope.function_scope(e): + self.chk.check_func_item(e, type_override=type_override) + if not self.chk.has_type(e.expr()): + # TODO: return expression must be accepted before exiting function scope. + with self.chk.binder.frame_context(can_skip=True, fall_through=0): + self.accept(e.expr(), allow_none_return=True) + ret_type = self.chk.lookup_type(e.expr()) + self.chk.return_types.pop() + self.in_lambda_expr = old_in_lambda + return replace_callable_return_type(inferred_type, ret_type) + + def infer_lambda_type_using_context( + self, e: LambdaExpr + ) -> tuple[CallableType | None, CallableType | None]: + """Try to infer lambda expression type using context. + + Return None if could not infer type. + The second item in the return type is the type_override parameter for check_func_item. + """ + # TODO also accept 'Any' context + ctx = get_proper_type(self.type_context[-1]) + + if isinstance(ctx, UnionType): + callables = [ + t for t in get_proper_types(ctx.relevant_items()) if isinstance(t, CallableType) + ] + if len(callables) == 1: + ctx = callables[0] + + if not ctx or not isinstance(ctx, CallableType): + return None, None + + # The context may have function type variables in it. We replace them + # since these are the type variables we are ultimately trying to infer; + # they must be considered as indeterminate. We use ErasedType since it + # does not affect type inference results (it is for purposes like this + # only). + if not self.chk.options.old_type_inference: + # With new type inference we can preserve argument types even if they + # are generic, since new inference algorithm can handle constraints + # like S <: T (we still erase return type since it's ultimately unknown). + extra_vars = [] + for arg in ctx.arg_types: + meta_vars = [tv for tv in get_all_type_vars(arg) if tv.id.is_meta_var()] + extra_vars.extend([tv for tv in meta_vars if tv not in extra_vars]) + callable_ctx = ctx.copy_modified( + ret_type=replace_meta_vars(ctx.ret_type, ErasedType()), + variables=list(ctx.variables) + extra_vars, + ) + else: + erased_ctx = replace_meta_vars(ctx, ErasedType()) + assert isinstance(erased_ctx, ProperType) and isinstance(erased_ctx, CallableType) + callable_ctx = erased_ctx + + # The callable_ctx may have a fallback of builtins.type if the context + # is a constructor -- but this fallback doesn't make sense for lambdas. + callable_ctx = callable_ctx.copy_modified(fallback=self.named_type("builtins.function")) + + if callable_ctx.type_guard is not None or callable_ctx.type_is is not None: + # Lambda's return type cannot be treated as a `TypeGuard`, + # because it is implicit. And `TypeGuard`s must be explicit. + # See https://github.com/python/mypy/issues/9927 + return None, None + + arg_kinds = [arg.kind for arg in e.arguments] + + if callable_ctx.is_ellipsis_args or ctx.param_spec() is not None: + # Fill in Any arguments to match the arguments of the lambda. + callable_ctx = callable_ctx.copy_modified( + is_ellipsis_args=False, + arg_types=[AnyType(TypeOfAny.special_form)] * len(arg_kinds), + arg_kinds=arg_kinds, + arg_names=e.arg_names.copy(), + ) + + if ARG_STAR in arg_kinds or ARG_STAR2 in arg_kinds: + # TODO treat this case appropriately + return callable_ctx, None + + if callable_ctx.arg_kinds != arg_kinds: + # Incompatible context; cannot use it to infer types. + self.chk.fail(message_registry.CANNOT_INFER_LAMBDA_TYPE, e) + return None, None + + # Type of lambda must have correct argument names, to prevent false + # negatives when lambdas appear in `ParamSpec` context. + return callable_ctx.copy_modified(arg_names=e.arg_names), callable_ctx + + def visit_super_expr(self, e: SuperExpr) -> Type: + """Type check a super expression (non-lvalue).""" + + # We have an expression like super(T, var).member + + # First compute the types of T and var + types = self._super_arg_types(e) + if isinstance(types, tuple): + type_type, instance_type = types + else: + return types + + # Now get the MRO + type_info = type_info_from_type(type_type) + if type_info is None: + self.chk.fail(message_registry.UNSUPPORTED_ARG_1_FOR_SUPER, e) + return AnyType(TypeOfAny.from_error) + + instance_info = type_info_from_type(instance_type) + if instance_info is None: + self.chk.fail(message_registry.UNSUPPORTED_ARG_2_FOR_SUPER, e) + return AnyType(TypeOfAny.from_error) + + mro = instance_info.mro + + # The base is the first MRO entry *after* type_info that has a member + # with the right name + index = None + if type_info in mro: + index = mro.index(type_info) + else: + method = self.chk.scope.current_function() + # Mypy explicitly allows supertype upper bounds (and no upper bound at all) + # for annotating self-types. However, if such an annotation is used for + # checking super() we will still get an error. So to be consistent, we also + # allow such imprecise annotations for use with super(), where we fall back + # to the current class MRO instead. This works only from inside a method. + if method is not None and is_self_type_like( + instance_type, is_classmethod=method.is_class + ): + if e.info and type_info in e.info.mro: + mro = e.info.mro + index = mro.index(type_info) + if index is None: + if ( + instance_info.is_protocol + and instance_info != type_info + and not type_info.is_protocol + ): + # A special case for mixins, in this case super() should point + # directly to the host protocol, this is not safe, since the real MRO + # is not known yet for mixin, but this feature is more like an escape hatch. + index = -1 + else: + self.chk.fail(message_registry.SUPER_ARG_2_NOT_INSTANCE_OF_ARG_1, e) + return AnyType(TypeOfAny.from_error) + + if len(mro) == index + 1: + self.chk.fail(message_registry.TARGET_CLASS_HAS_NO_BASE_CLASS, e) + return AnyType(TypeOfAny.from_error) + + for base in mro[index + 1 :]: + if e.name in base.names or base == mro[-1]: + if e.info and e.info.fallback_to_any and base == mro[-1]: + # There's an undefined base class, and we're at the end of the + # chain. That's not an error. + return AnyType(TypeOfAny.special_form) + + return analyze_member_access( + name=e.name, + typ=instance_type, + is_lvalue=False, + is_super=True, + is_operator=False, + original_type=instance_type, + override_info=base, + context=e, + chk=self.chk, + in_literal_context=self.is_literal_context(), + ) + + assert False, "unreachable" + + def _super_arg_types(self, e: SuperExpr) -> Type | tuple[Type, Type]: + """ + Computes the types of the type and instance expressions in super(T, instance), or the + implicit ones for zero-argument super() expressions. Returns a single type for the whole + super expression when possible (for errors, anys), otherwise the pair of computed types. + """ + + if not self.chk.in_checked_function(): + return AnyType(TypeOfAny.unannotated) + elif len(e.call.args) == 0: + if not e.info: + # This has already been reported by the semantic analyzer. + return AnyType(TypeOfAny.from_error) + elif self.chk.scope.active_class(): + self.chk.fail(message_registry.SUPER_OUTSIDE_OF_METHOD_NOT_SUPPORTED, e) + return AnyType(TypeOfAny.from_error) + + # Zero-argument super() is like super(, ) + current_type = fill_typevars(e.info) + type_type: ProperType = TypeType(current_type) + + # Use the type of the self argument, in case it was annotated + method = self.chk.scope.current_function() + assert method is not None + if method.arguments: + instance_type: Type = method.arguments[0].variable.type or current_type + else: + self.chk.fail(message_registry.SUPER_ENCLOSING_POSITIONAL_ARGS_REQUIRED, e) + return AnyType(TypeOfAny.from_error) + elif ARG_STAR in e.call.arg_kinds: + self.chk.fail(message_registry.SUPER_VARARGS_NOT_SUPPORTED, e) + return AnyType(TypeOfAny.from_error) + elif set(e.call.arg_kinds) != {ARG_POS}: + self.chk.fail(message_registry.SUPER_POSITIONAL_ARGS_REQUIRED, e) + return AnyType(TypeOfAny.from_error) + elif len(e.call.args) == 1: + self.chk.fail(message_registry.SUPER_WITH_SINGLE_ARG_NOT_SUPPORTED, e) + return AnyType(TypeOfAny.from_error) + elif len(e.call.args) == 2: + type_type = get_proper_type(self.accept(e.call.args[0])) + instance_type = self.accept(e.call.args[1]) + else: + self.chk.fail(message_registry.TOO_MANY_ARGS_FOR_SUPER, e) + return AnyType(TypeOfAny.from_error) + + # Imprecisely assume that the type is the current class + if isinstance(type_type, AnyType): + if e.info: + type_type = TypeType(fill_typevars(e.info)) + else: + return AnyType(TypeOfAny.from_another_any, source_any=type_type) + elif isinstance(type_type, TypeType): + type_item = type_type.item + if isinstance(type_item, AnyType): + if e.info: + type_type = TypeType(fill_typevars(e.info)) + else: + return AnyType(TypeOfAny.from_another_any, source_any=type_item) + + if not isinstance(type_type, TypeType) and not ( + isinstance(type_type, FunctionLike) and type_type.is_type_obj() + ): + self.msg.first_argument_for_super_must_be_type(type_type, e) + return AnyType(TypeOfAny.from_error) + + # Imprecisely assume that the instance is of the current class + instance_type = get_proper_type(instance_type) + if isinstance(instance_type, AnyType): + if e.info: + instance_type = fill_typevars(e.info) + else: + return AnyType(TypeOfAny.from_another_any, source_any=instance_type) + elif isinstance(instance_type, TypeType): + instance_item = instance_type.item + if isinstance(instance_item, AnyType): + if e.info: + instance_type = TypeType(fill_typevars(e.info)) + else: + return AnyType(TypeOfAny.from_another_any, source_any=instance_item) + + return type_type, instance_type + + def visit_slice_expr(self, e: SliceExpr) -> Type: + try: + supports_index = self.chk.named_type("typing_extensions.SupportsIndex") + except KeyError: + supports_index = self.chk.named_type("builtins.int") # thanks, fixture life + expected = make_optional_type(supports_index) + type_args = [] + for index in [e.begin_index, e.end_index, e.stride]: + if index: + t = self.accept(index) + self.chk.check_subtype(t, expected, index, message_registry.INVALID_SLICE_INDEX) + type_args.append(t) + else: + type_args.append(NoneType()) + return self.chk.named_generic_type("builtins.slice", type_args) + + def visit_list_comprehension(self, e: ListComprehension) -> Type: + return self.check_generator_or_comprehension( + e.generator, "builtins.list", "" + ) + + def visit_set_comprehension(self, e: SetComprehension) -> Type: + return self.check_generator_or_comprehension( + e.generator, "builtins.set", "" + ) + + def visit_generator_expr(self, e: GeneratorExpr) -> Type: + # If any of the comprehensions use async for, the expression will return an async generator + # object, or await is used anywhere but in the leftmost sequence. + if ( + any(e.is_async) + or has_await_expression(e.left_expr) + or any(has_await_expression(sequence) for sequence in e.sequences[1:]) + or any(has_await_expression(cond) for condlist in e.condlists for cond in condlist) + ): + typ = "typing.AsyncGenerator" + # received type is always None in async generator expressions + additional_args: list[Type] = [NoneType()] + else: + typ = "typing.Generator" + # received type and returned type are None + additional_args = [NoneType(), NoneType()] + return self.check_generator_or_comprehension( + e, typ, "", additional_args=additional_args + ) + + def check_generator_or_comprehension( + self, + gen: GeneratorExpr, + type_name: str, + id_for_messages: str, + additional_args: list[Type] | None = None, + ) -> Type: + """Type check a generator expression or a list comprehension.""" + additional_args = additional_args or [] + with self.chk.binder.frame_context(can_skip=True, fall_through=0): + self.check_for_comp(gen) + + # Infer the type of the list comprehension by using a synthetic generic + # callable type. + tv = TypeVarType( + "T", + "T", + id=TypeVarId(-1, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + tv_list: list[Type] = [tv] + constructor = CallableType( + tv_list, + [nodes.ARG_POS], + [None], + self.chk.named_generic_type(type_name, tv_list + additional_args), + self.chk.named_type("builtins.function"), + name=id_for_messages, + variables=[tv], + ) + return self.check_call(constructor, [gen.left_expr], [nodes.ARG_POS], gen)[0] + + def visit_dictionary_comprehension(self, e: DictionaryComprehension) -> Type: + """Type check a dictionary comprehension.""" + with self.chk.binder.frame_context(can_skip=True, fall_through=0): + self.check_for_comp(e) + + # Infer the type of the list comprehension by using a synthetic generic + # callable type. + ktdef = TypeVarType( + "KT", + "KT", + id=TypeVarId(-1, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + vtdef = TypeVarType( + "VT", + "VT", + id=TypeVarId(-2, namespace=""), + values=[], + upper_bound=self.object_type(), + default=AnyType(TypeOfAny.from_omitted_generics), + ) + constructor = CallableType( + [ktdef, vtdef], + [nodes.ARG_POS, nodes.ARG_POS], + [None, None], + self.chk.named_generic_type("builtins.dict", [ktdef, vtdef]), + self.chk.named_type("builtins.function"), + name="", + variables=[ktdef, vtdef], + ) + return self.check_call( + constructor, [e.key, e.value], [nodes.ARG_POS, nodes.ARG_POS], e + )[0] + + def check_for_comp(self, e: GeneratorExpr | DictionaryComprehension) -> None: + """Check the for_comp part of comprehensions. That is the part from 'for': + ... for x in y if z + + Note: This adds the type information derived from the condlists to the current binder. + """ + for index, sequence, conditions, is_async in zip( + e.indices, e.sequences, e.condlists, e.is_async + ): + if is_async: + _, sequence_type = self.chk.analyze_async_iterable_item_type(sequence) + else: + _, sequence_type = self.chk.analyze_iterable_item_type(sequence) + if ( + isinstance(get_proper_type(sequence_type), UninhabitedType) + and isinstance(index, NameExpr) + and index.name == "_" + ): + # To preserve backward compatibility, avoid inferring Never for "_" + sequence_type = AnyType(TypeOfAny.special_form) + + self.chk.analyze_index_variables(index, sequence_type, True, e) + for condition in conditions: + self.accept(condition) + + # values are only part of the comprehension when all conditions are true + true_map, false_map = self.chk.find_isinstance_check(condition) + self.chk.push_type_map(true_map) + + if codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes: + if mypy.checker.is_unreachable_map(true_map): + self.msg.redundant_condition_in_comprehension(False, condition) + elif mypy.checker.is_unreachable_map(false_map): + self.msg.redundant_condition_in_comprehension(True, condition) + + def visit_conditional_expr(self, e: ConditionalExpr, allow_none_return: bool = False) -> Type: + self.accept(e.cond) + ctx: Type | None = self.type_context[-1] + + # Gain type information from isinstance if it is there + # but only for the current expression + if_map, else_map = self.chk.find_isinstance_check(e.cond) + if codes.REDUNDANT_EXPR in self.chk.options.enabled_error_codes: + if mypy.checker.is_unreachable_map(if_map): + self.msg.redundant_condition_in_if(False, e.cond) + elif mypy.checker.is_unreachable_map(else_map): + self.msg.redundant_condition_in_if(True, e.cond) + + if ctx is None: + # When no context is provided, compute each branch individually, and + # use the union of the results as artificial context. Important for: + # - testUnificationDict + # - testConditionalExpressionWithEmpty + ctx_if_type = self.analyze_cond_branch( + if_map, e.if_expr, context=ctx, allow_none_return=allow_none_return + ) + ctx_else_type = self.analyze_cond_branch( + else_map, e.else_expr, context=ctx, allow_none_return=allow_none_return + ) + if has_ambiguous_uninhabited_component(ctx_if_type): + ctx = ctx_else_type + elif has_ambiguous_uninhabited_component(ctx_else_type): + ctx = ctx_if_type + else: + ctx = make_simplified_union([ctx_if_type, ctx_else_type]) + + if_type = self.analyze_cond_branch( + if_map, e.if_expr, context=ctx, allow_none_return=allow_none_return + ) + else_type = self.analyze_cond_branch( + else_map, e.else_expr, context=ctx, allow_none_return=allow_none_return + ) + + res: Type = make_simplified_union([if_type, else_type]) + if has_uninhabited_component(res) and not isinstance( + get_proper_type(self.type_context[-1]), UnionType + ): + # In rare cases with empty collections join may give a better result. + alternative = join.join_types(if_type, else_type) + p_alt = get_proper_type(alternative) + if not isinstance(p_alt, Instance) or p_alt.type.fullname != "builtins.object": + res = alternative + return res + + def analyze_cond_branch( + self, + map: dict[Expression, Type], + node: Expression, + context: Type | None, + allow_none_return: bool = False, + suppress_unreachable_errors: bool = True, + ) -> Type: + with self.chk.binder.frame_context(can_skip=True, fall_through=0): + if mypy.checker.is_unreachable_map(map): + # We still need to type check node, in case we want to + # process it for isinstance checks later. Since the branch was + # determined to be unreachable, any errors should be suppressed. + with self.msg.filter_errors(filter_errors=suppress_unreachable_errors): + self.accept(node, type_context=context, allow_none_return=allow_none_return) + return UninhabitedType() + self.chk.push_type_map(map) + return self.accept(node, type_context=context, allow_none_return=allow_none_return) + + def _combined_context(self, ty: Type | None) -> Type | None: + ctx_items = [] + if ty is not None: + if has_any_type(ty): + # HACK: Any should be contagious, `dict[str, Any] or ` should still + # infer Any in x. + return ty + ctx_items.append(ty) + if self.type_context and self.type_context[-1] is not None: + ctx_items.append(self.type_context[-1]) + if ctx_items: + return make_simplified_union(ctx_items) + return None + + # + # Helpers + # + + def accept( + self, + node: Expression, + type_context: Type | None = None, + allow_none_return: bool = False, + always_allow_any: bool = False, + is_callee: bool = False, + ) -> Type: + """Type check a node in the given type context. If allow_none_return + is True and this expression is a call, allow it to return None. This + applies only to this expression and not any subexpressions. + """ + if node in self.type_overrides: + # This branch is very fast, there is no point timing it. + return self.type_overrides[node] + # We don't use context manager here to get most precise data (and avoid overhead). + record_time = False + if self.collect_line_checking_stats and not self.in_expression: + t0 = time.perf_counter_ns() + self.in_expression = True + record_time = True + self.type_context.append(type_context) + old_is_callee = self.is_callee + self.is_callee = is_callee + try: + p_type_context = get_proper_type(type_context) + if allow_none_return and isinstance(node, CallExpr): + typ = self.visit_call_expr(node, allow_none_return=True) + elif allow_none_return and isinstance(node, YieldFromExpr): + typ = self.visit_yield_from_expr(node, allow_none_return=True) + elif allow_none_return and isinstance(node, ConditionalExpr): + typ = self.visit_conditional_expr(node, allow_none_return=True) + elif allow_none_return and isinstance(node, AwaitExpr): + typ = self.visit_await_expr(node, allow_none_return=True) + + elif ( + isinstance(p_type_context, TypeType) + and p_type_context.is_type_form + and (node_as_type := self.try_parse_as_type_expression(node)) is not None + ): + typ = TypeType.make_normalized( + node_as_type, + line=node_as_type.line, + column=node_as_type.column, + is_type_form=True, + ) # r-value type, when interpreted as a type expression + elif ( + isinstance(p_type_context, UnionType) + and any( + isinstance(p_item := get_proper_type(item), TypeType) and p_item.is_type_form + for item in p_type_context.items + ) + and (node_as_type := self.try_parse_as_type_expression(node)) is not None + ): + typ1 = TypeType.make_normalized( + node_as_type, + line=node_as_type.line, + column=node_as_type.column, + is_type_form=True, + ) + if is_subtype(typ1, p_type_context): + typ = typ1 # r-value type, when interpreted as a type expression + else: + typ2 = node.accept(self) + typ = typ2 # r-value type, when interpreted as a value expression + # Deeply nested generic calls can deteriorate performance dramatically. + # Although in most cases caching makes little difference, in worst case + # it avoids exponential complexity. + # We cannot use cache inside lambdas, because they skip immediate type + # context, and use enclosing one, see infer_lambda_type_using_context(). + # TODO: consider using cache for more expression kinds. + elif ( + isinstance(node, (CallExpr, ListExpr, TupleExpr, DictExpr, OpExpr)) + and not (self.in_lambda_expr or self.chk.current_node_deferred) + and not self.chk.options.disable_expression_cache + ): + if (node, type_context) in self.expr_cache: + binder_version, typ, messages, type_map = self.expr_cache[(node, type_context)] + if binder_version == self.chk.binder.version: + self.chk.store_types(type_map) + self.msg.add_errors(messages) + else: + typ = self.accept_maybe_cache(node, type_context=type_context) + else: + typ = self.accept_maybe_cache(node, type_context=type_context) + else: + typ = node.accept(self) # r-value type, when interpreted as a value expression + except Exception as err: + report_internal_error( + err, self.chk.errors.file, node.line, self.chk.errors, self.chk.options + ) + self.is_callee = old_is_callee + self.type_context.pop() + assert typ is not None + self.chk.store_type(node, typ) + + if ( + self.chk.options.disallow_any_expr + and not always_allow_any + and not self.chk.is_stub + and self.chk.in_checked_function() + and has_any_type(typ) + and not self.chk.current_node_deferred + ): + self.msg.disallowed_any_type(typ, node) + + if not self.chk.in_checked_function() or self.chk.current_node_deferred: + result: Type = AnyType(TypeOfAny.unannotated) + else: + result = typ + if record_time: + self.per_line_checking_time_ns[node.line] += time.perf_counter_ns() - t0 + self.in_expression = False + return result + + def accept_maybe_cache(self, node: Expression, type_context: Type | None = None) -> Type: + binder_version = self.chk.binder.version + with self.msg.filter_errors(filter_errors=True, save_filtered_errors=True) as msg: + with self.chk.local_type_map as type_map: + typ = node.accept(self) + messages = msg.filtered_errors() + if binder_version == self.chk.binder.version and not self.chk.current_node_deferred: + self.expr_cache[(node, type_context)] = (binder_version, typ, messages, type_map) + self.chk.store_types(type_map) + self.msg.add_errors(messages) + return typ + + def named_type(self, name: str) -> Instance: + """Return an instance type with type given by the name and no type + arguments. Alias for TypeChecker.named_type. + """ + return self.chk.named_type(name) + + def type_alias_type_type(self) -> Instance: + """Returns a `typing.TypeAliasType` or `typing_extensions.TypeAliasType`.""" + if self.chk.options.python_version >= (3, 12): + return self.named_type("typing.TypeAliasType") + return self.named_type("typing_extensions.TypeAliasType") + + def is_valid_var_arg(self, typ: Type) -> bool: + """Is a type valid as a *args argument?""" + typ = get_proper_type(typ) + return isinstance(typ, (TupleType, AnyType, ParamSpecType, UnpackType)) or is_subtype( + typ, self.chk.named_generic_type("typing.Iterable", [AnyType(TypeOfAny.special_form)]) + ) + + def is_valid_keyword_var_arg(self, typ: Type) -> bool: + """Is a type valid as a **kwargs argument?""" + typ = get_proper_type(typ) + return ( + ( + # This is a little ad hoc, ideally we would have a map_instance_to_supertype + # that worked for protocols + isinstance(typ, Instance) + and typ.type.fullname == "builtins.dict" + and is_subtype(typ.args[0], self.named_type("builtins.str")) + ) + or isinstance(typ, ParamSpecType) + or is_subtype( + typ, + self.chk.named_generic_type( + "_typeshed.SupportsKeysAndGetItem", + [self.named_type("builtins.str"), AnyType(TypeOfAny.special_form)], + ), + ) + or is_subtype( + typ, + self.chk.named_generic_type( + "_typeshed.SupportsKeysAndGetItem", [UninhabitedType(), UninhabitedType()] + ), + ) + ) + + def not_ready_callback(self, name: str, context: Context) -> None: + """Called when we can't infer the type of a variable because it's not ready yet. + + Either defer type checking of the enclosing function to the next + pass or report an error. + """ + self.chk.handle_cannot_determine_type(name, context) + + def visit_yield_expr(self, e: YieldExpr) -> Type: + return_type = self.chk.return_types[-1] + expected_item_type = self.chk.get_generator_yield_type(return_type, False) + if e.expr is None: + if ( + not isinstance(get_proper_type(expected_item_type), (NoneType, AnyType)) + and self.chk.in_checked_function() + ): + self.chk.fail(message_registry.YIELD_VALUE_EXPECTED, e) + else: + actual_item_type = self.accept(e.expr, expected_item_type) + self.chk.check_subtype( + actual_item_type, + expected_item_type, + e, + message_registry.INCOMPATIBLE_TYPES_IN_YIELD, + "actual type", + "expected type", + ) + return self.chk.get_generator_receive_type(return_type, False) + + def visit_await_expr(self, e: AwaitExpr, allow_none_return: bool = False) -> Type: + expected_type = self.type_context[-1] + if expected_type is not None: + expected_type = self.chk.named_generic_type("typing.Awaitable", [expected_type]) + actual_type = get_proper_type(self.accept(e.expr, expected_type)) + if isinstance(actual_type, AnyType): + return AnyType(TypeOfAny.from_another_any, source_any=actual_type) + ret = self.check_awaitable_expr( + actual_type, e, message_registry.INCOMPATIBLE_TYPES_IN_AWAIT + ) + if not allow_none_return and isinstance(get_proper_type(ret), NoneType): + self.chk.msg.does_not_return_value(None, e) + return ret + + def check_awaitable_expr( + self, t: Type, ctx: Context, msg: str | ErrorMessage, ignore_binder: bool = False + ) -> Type: + """Check the argument to `await` and extract the type of value. + + Also used by `async for` and `async with`. + """ + if not self.chk.check_subtype( + t, self.named_type("typing.Awaitable"), ctx, msg, "actual type", "expected type" + ): + return AnyType(TypeOfAny.special_form) + else: + generator = self.check_method_call_by_name("__await__", t, [], [], ctx)[0] + ret_type = self.chk.get_generator_return_type(generator, False) + ret_type = get_proper_type(ret_type) + if ( + not ignore_binder + and isinstance(ret_type, UninhabitedType) + and not ret_type.ambiguous + ): + self.chk.binder.unreachable() + return ret_type + + def visit_yield_from_expr(self, e: YieldFromExpr, allow_none_return: bool = False) -> Type: + # NOTE: Whether `yield from` accepts an `async def` decorated + # with `@types.coroutine` (or `@asyncio.coroutine`) depends on + # whether the generator containing the `yield from` is itself + # thus decorated. But it accepts a generator regardless of + # how it's decorated. + return_type = self.chk.return_types[-1] + # TODO: What should the context for the sub-expression be? + # If the containing function has type Generator[X, Y, ...], + # the context should be Generator[X, Y, T], where T is the + # context of the 'yield from' itself (but it isn't known). + subexpr_type = get_proper_type(self.accept(e.expr)) + + # Check that the expr is an instance of Iterable and get the type of the iterator produced + # by __iter__. + if isinstance(subexpr_type, AnyType): + iter_type: Type = AnyType(TypeOfAny.from_another_any, source_any=subexpr_type) + elif self.chk.type_is_iterable(subexpr_type): + if is_async_def(subexpr_type) and not has_coroutine_decorator(return_type): + self.chk.msg.yield_from_invalid_operand_type(subexpr_type, e) + + any_type = AnyType(TypeOfAny.special_form) + generic_generator_type = self.chk.named_generic_type( + "typing.Generator", [any_type, any_type, any_type] + ) + generic_generator_type.set_line(e) + iter_type, _ = self.check_method_call_by_name( + "__iter__", subexpr_type, [], [], context=generic_generator_type + ) + else: + if not (is_async_def(subexpr_type) and has_coroutine_decorator(return_type)): + self.chk.msg.yield_from_invalid_operand_type(subexpr_type, e) + iter_type = AnyType(TypeOfAny.from_error) + else: + iter_type = self.check_awaitable_expr( + subexpr_type, e, message_registry.INCOMPATIBLE_TYPES_IN_YIELD_FROM + ) + + # Check that the iterator's item type matches the type yielded by the Generator function + # containing this `yield from` expression. + expected_item_type = self.chk.get_generator_yield_type(return_type, False) + actual_item_type = self.chk.get_generator_yield_type(iter_type, False) + + self.chk.check_subtype( + actual_item_type, + expected_item_type, + e, + message_registry.INCOMPATIBLE_TYPES_IN_YIELD_FROM, + "actual type", + "expected type", + ) + + # Determine the type of the entire yield from expression. + iter_type = get_proper_type(iter_type) + expr_type = self.chk.get_generator_return_type(iter_type, is_coroutine=False) + + if not allow_none_return and isinstance(get_proper_type(expr_type), NoneType): + self.chk.msg.does_not_return_value(None, e) + return expr_type + + def visit_temp_node(self, e: TempNode) -> Type: + return e.type + + def visit_type_var_expr(self, e: TypeVarExpr) -> Type: + p_default = get_proper_type(e.default) + if not ( + isinstance(p_default, AnyType) + and p_default.type_of_any == TypeOfAny.from_omitted_generics + ): + if not is_subtype(p_default, e.upper_bound): + self.chk.fail("TypeVar default must be a subtype of the bound type", e) + if e.values and not any(is_same_type(p_default, value) for value in e.values): + self.chk.fail("TypeVar default must be one of the constraint types", e) + return AnyType(TypeOfAny.special_form) + + def visit_paramspec_expr(self, e: ParamSpecExpr) -> Type: + return AnyType(TypeOfAny.special_form) + + def visit_type_var_tuple_expr(self, e: TypeVarTupleExpr) -> Type: + return AnyType(TypeOfAny.special_form) + + def visit_newtype_expr(self, e: NewTypeExpr) -> Type: + return AnyType(TypeOfAny.special_form) + + def visit_namedtuple_expr(self, e: NamedTupleExpr) -> Type: + tuple_type = e.info.tuple_type + if tuple_type: + if self.chk.options.disallow_any_unimported and has_any_from_unimported_type( + tuple_type + ): + self.msg.unimported_type_becomes_any("NamedTuple type", tuple_type, e) + check_for_explicit_any( + tuple_type, self.chk.options, self.chk.is_typeshed_stub, self.msg, context=e + ) + return AnyType(TypeOfAny.special_form) + + def visit_enum_call_expr(self, e: EnumCallExpr) -> Type: + for name, value in zip(e.items, e.values): + if value is not None: + typ = self.accept(value) + if not isinstance(get_proper_type(typ), AnyType): + var = e.info.names[name].node + if isinstance(var, Var): + # Inline TypeChecker.set_inferred_type(), + # without the lvalue. (This doesn't really do + # much, since the value attribute is defined + # to have type Any in the typeshed stub.) + var.type = typ + var.is_inferred = True + return AnyType(TypeOfAny.special_form) + + def visit_typeddict_expr(self, e: TypedDictExpr) -> Type: + return AnyType(TypeOfAny.special_form) + + def visit__promote_expr(self, e: PromoteExpr) -> Type: + return e.type + + def visit_star_expr(self, e: StarExpr) -> Type: + # TODO: should this ever be called (see e.g. mypyc visitor)? + return self.accept(e.expr) + + def object_type(self) -> Instance: + """Return instance type 'object'.""" + return self.named_type("builtins.object") + + def bool_type(self) -> Instance: + """Return instance type 'bool'.""" + return self.named_type("builtins.bool") + + @overload + def narrow_type_from_binder(self, expr: Expression, known_type: Type) -> Type: ... + + @overload + def narrow_type_from_binder( + self, expr: Expression, known_type: Type, skip_non_overlapping: bool + ) -> Type | None: ... + + def narrow_type_from_binder( + self, expr: Expression, known_type: Type, skip_non_overlapping: bool = False + ) -> Type | None: + """Narrow down a known type of expression using information in conditional type binder. + + If 'skip_non_overlapping' is True, return None if the type and restriction are + non-overlapping. + """ + if literal(expr) >= LITERAL_TYPE: + restriction = self.chk.binder.get(expr) + # If the current node is deferred, some variables may get Any types that they + # otherwise wouldn't have. We don't want to narrow down these since it may + # produce invalid inferred Optional[Any] types, at least. + if restriction and not ( + isinstance(get_proper_type(known_type), AnyType) and self.chk.current_node_deferred + ): + # Note: this call should match the one in narrow_declared_type(). + if skip_non_overlapping and not is_overlapping_types(known_type, restriction): + return None + narrowed = narrow_declared_type(known_type, restriction) + if isinstance(get_proper_type(narrowed), UninhabitedType): + # If we hit this case, it means that we can't reliably mark the code as + # unreachable, but the resulting type can't be expressed in type system. + # Falling back to restriction is more intuitive in most cases. + return restriction + return narrowed + return known_type + + def has_abstract_type_part(self, caller_type: ProperType, callee_type: ProperType) -> bool: + # TODO: support other possible types here + if isinstance(caller_type, TupleType) and isinstance(callee_type, TupleType): + return any( + self.has_abstract_type(get_proper_type(caller), get_proper_type(callee)) + for caller, callee in zip(caller_type.items, callee_type.items) + ) + return self.has_abstract_type(caller_type, callee_type) + + def has_abstract_type(self, caller_type: ProperType, callee_type: ProperType) -> bool: + return ( + isinstance(caller_type, FunctionLike) + and isinstance(callee_type, TypeType) + and caller_type.is_type_obj() + and (caller_type.type_object().is_abstract or caller_type.type_object().is_protocol) + and isinstance(callee_type.item, Instance) + and (callee_type.item.type.is_abstract or callee_type.item.type.is_protocol) + and not self.chk.allow_abstract_call + ) + + def try_parse_as_type_expression(self, maybe_type_expr: Expression) -> Type | None: + """Try to parse a value Expression as a type expression. + If success then return the type that it spells. + If fails then return None. + + A value expression that is parsable as a type expression may be used + where a TypeForm is expected to represent the spelled type. + + Unlike SemanticAnalyzer.try_parse_as_type_expression() + (used in the earlier SemanticAnalyzer pass), this function can only + recognize type expressions which contain no string annotations.""" + if not isinstance(maybe_type_expr, MaybeTypeExpression): + return None + + # Check whether has already been parsed as a type expression + # by SemanticAnalyzer.try_parse_as_type_expression(), + # perhaps containing a string annotation + if ( + isinstance(maybe_type_expr, (StrExpr, IndexExpr, OpExpr)) + and maybe_type_expr.as_type != NotParsed.VALUE + ): + return maybe_type_expr.as_type + + # If is potentially a type expression containing a string annotation, + # don't try to parse it because there isn't enough information + # available to the TypeChecker pass to resolve string annotations + if has_str_expression(maybe_type_expr): + self.chk.fail( + "TypeForm containing a string annotation cannot be recognized here. " + "Surround with TypeForm(...) to recognize.", + maybe_type_expr, + code=codes.MAYBE_UNRECOGNIZED_STR_TYPEFORM, + ) + return None + + # Collect symbols targeted by NameExprs and MemberExprs, + # to be looked up by TypeAnalyser when binding the + # UnboundTypes corresponding to those expressions. + name_exprs, member_exprs = all_name_and_member_expressions(maybe_type_expr) + sym_for_name = {e.name: SymbolTableNode(UNBOUND_IMPORTED, e.node) for e in name_exprs} | { + e_name: SymbolTableNode(UNBOUND_IMPORTED, e.node) + for e in member_exprs + if (e_name := get_member_expr_fullname(e)) is not None + } + + chk_sem = mypy.checker.TypeCheckerAsSemanticAnalyzer(self.chk, sym_for_name) + tpan = TypeAnalyser( + chk_sem, + # NOTE: Will never need to lookup type vars in this scope because + # SemanticAnalyzer.try_parse_as_type_expression() will have + # already recognized any type var referenced in a NameExpr. + # String annotations (which may also reference type vars) + # can't be resolved in the TypeChecker pass anyway. + TypeVarLikeScope(), # empty scope + self.plugin, + self.chk.options, + self.chk.tree, + self.chk.is_typeshed_stub, + ) + + try: + typ1 = expr_to_unanalyzed_type( + maybe_type_expr, self.chk.options, self.chk.is_typeshed_stub + ) + typ2 = typ1.accept(tpan) + if chk_sem.did_fail: + return None + return typ2 + except TypeTranslationError: + return None + + +def has_any_type(t: Type, ignore_in_type_obj: bool = False) -> bool: + """Whether t contains an Any type""" + return t.accept(HasAnyType(ignore_in_type_obj)) + + +class HasAnyType(types.BoolTypeQuery): + def __init__(self, ignore_in_type_obj: bool) -> None: + super().__init__(types.ANY_STRATEGY) + self.ignore_in_type_obj = ignore_in_type_obj + + def visit_any(self, t: AnyType) -> bool: + return t.type_of_any != TypeOfAny.special_form # special forms are not real Any types + + def visit_callable_type(self, t: CallableType) -> bool: + if self.ignore_in_type_obj and t.is_type_obj(): + return False + return super().visit_callable_type(t) + + def visit_type_var(self, t: TypeVarType) -> bool: + default = [t.default] if t.has_default() else [] + return self.query_types([t.upper_bound, *default] + t.values) + + def visit_param_spec(self, t: ParamSpecType) -> bool: + default = [t.default] if t.has_default() else [] + return self.query_types([t.upper_bound, *default, t.prefix]) + + def visit_type_var_tuple(self, t: TypeVarTupleType) -> bool: + default = [t.default] if t.has_default() else [] + return self.query_types([t.upper_bound, *default]) + + +def has_coroutine_decorator(t: Type) -> bool: + """Whether t came from a function decorated with `@coroutine`.""" + t = get_proper_type(t) + return isinstance(t, Instance) and t.type.fullname == "typing.AwaitableGenerator" + + +def is_async_def(t: Type) -> bool: + """Whether t came from a function defined using `async def`.""" + # In check_func_def(), when we see a function decorated with + # `@typing.coroutine` or `@async.coroutine`, we change the + # return type to typing.AwaitableGenerator[...], so that its + # type is compatible with either Generator or Awaitable. + # But for the check here we need to know whether the original + # function (before decoration) was an `async def`. The + # AwaitableGenerator type conveniently preserves the original + # type as its 4th parameter (3rd when using 0-origin indexing + # :-), so that we can recover that information here. + # (We really need to see whether the original, undecorated + # function was an `async def`, which is orthogonal to its + # decorations.) + t = get_proper_type(t) + if ( + isinstance(t, Instance) + and t.type.fullname == "typing.AwaitableGenerator" + and len(t.args) >= 4 + ): + t = get_proper_type(t.args[3]) + return isinstance(t, Instance) and t.type.fullname == "typing.Coroutine" + + +def is_non_empty_tuple(t: Type) -> bool: + t = get_proper_type(t) + return isinstance(t, TupleType) and bool(t.items) + + +def is_duplicate_mapping( + mapping: list[int], actual_types: list[Type], actual_kinds: list[ArgKind] +) -> bool: + return ( + len(mapping) > 1 + # Multiple actuals can map to the same formal if they both come from + # varargs (*args and **kwargs); in this case at runtime it is possible + # that here are no duplicates. We need to allow this, as the convention + # f(..., *args, **kwargs) is common enough. + and not ( + len(mapping) == 2 + and actual_kinds[mapping[0]] == nodes.ARG_STAR + and actual_kinds[mapping[1]] == nodes.ARG_STAR2 + ) + # Multiple actuals can map to the same formal if there are multiple + # **kwargs which cannot be mapped with certainty (non-TypedDict + # **kwargs). + and not all( + actual_kinds[m] == nodes.ARG_STAR2 + and not isinstance(get_proper_type(actual_types[m]), TypedDictType) + for m in mapping + ) + ) + + +def replace_callable_return_type(c: CallableType, new_ret_type: Type) -> CallableType: + """Return a copy of a callable type with a different return type.""" + return c.copy_modified(ret_type=new_ret_type) + + +class ArgInferSecondPassQuery(types.BoolTypeQuery): + """Query whether an argument type should be inferred in the second pass. + + The result is True if the type has a type variable in a callable return + type anywhere. For example, the result for Callable[[], T] is True if t is + a type variable. + """ + + def __init__(self) -> None: + super().__init__(types.ANY_STRATEGY) + + def visit_callable_type(self, t: CallableType) -> bool: + # TODO: we need to check only for type variables of original callable. + return self.query_types(t.arg_types) or has_type_vars(t) + + +def has_erased_component(t: Type | None) -> bool: + return t is not None and t.accept(HasErasedComponentsQuery()) + + +class HasErasedComponentsQuery(types.BoolTypeQuery): + """Visitor for querying whether a type has an erased component.""" + + def __init__(self) -> None: + super().__init__(types.ANY_STRATEGY) + + def visit_erased_type(self, t: ErasedType) -> bool: + return True + + +def has_uninhabited_component(t: Type | None) -> bool: + return t is not None and t.accept(HasUninhabitedComponentsQuery()) + + +class HasUninhabitedComponentsQuery(types.BoolTypeQuery): + """Visitor for querying whether a type has an UninhabitedType component.""" + + def __init__(self) -> None: + super().__init__(types.ANY_STRATEGY) + + def visit_uninhabited_type(self, t: UninhabitedType) -> bool: + return True + + +def has_ambiguous_uninhabited_component(t: Type) -> bool: + return t.accept(HasAmbiguousUninhabitedComponentsQuery()) + + +class HasAmbiguousUninhabitedComponentsQuery(types.BoolTypeQuery): + """Visitor for querying whether a type has an ambiguous UninhabitedType component.""" + + def __init__(self) -> None: + super().__init__(types.ANY_STRATEGY) + + def visit_uninhabited_type(self, t: UninhabitedType) -> bool: + return t.ambiguous + + +def arg_approximate_similarity(actual: Type, formal: Type) -> bool: + """Return if caller argument (actual) is roughly compatible with signature arg (formal). + + This function is deliberately loose and will report two types are similar + as long as their "shapes" are plausibly the same. + + This is useful when we're doing error reporting: for example, if we're trying + to select an overload alternative and there's no exact match, we can use + this function to help us identify which alternative the user might have + *meant* to match. + """ + actual = get_proper_type(actual) + formal = get_proper_type(formal) + + # Erase typevars: we'll consider them all to have the same "shape". + if isinstance(actual, TypeVarType): + actual = erase_to_union_or_bound(actual) + if isinstance(formal, TypeVarType): + formal = erase_to_union_or_bound(formal) + + # Callable or Type[...]-ish types + def is_typetype_like(typ: ProperType) -> bool: + return ( + isinstance(typ, TypeType) + or (isinstance(typ, FunctionLike) and typ.is_type_obj()) + or (isinstance(typ, Instance) and typ.type.fullname == "builtins.type") + ) + + if isinstance(formal, CallableType): + if isinstance(actual, (CallableType, Overloaded, TypeType)): + return True + if is_typetype_like(actual) and is_typetype_like(formal): + return True + + # Unions + if isinstance(actual, UnionType): + return any(arg_approximate_similarity(item, formal) for item in actual.relevant_items()) + if isinstance(formal, UnionType): + return any(arg_approximate_similarity(actual, item) for item in formal.relevant_items()) + + # TypedDicts + if isinstance(actual, TypedDictType): + if isinstance(formal, TypedDictType): + return True + return arg_approximate_similarity(actual.fallback, formal) + + # Instances + # For instances, we mostly defer to the existing is_subtype check. + if isinstance(formal, Instance): + if isinstance(actual, CallableType): + actual = actual.fallback + if isinstance(actual, Overloaded): + actual = actual.items[0].fallback + if isinstance(actual, TupleType): + actual = tuple_fallback(actual) + if isinstance(actual, Instance) and formal.type in actual.type.mro: + # Try performing a quick check as an optimization + return True + + # Fall back to a standard subtype check for the remaining kinds of type. + return is_subtype(erasetype.erase_type(actual), erasetype.erase_type(formal)) + + +def any_causes_overload_ambiguity( + items: list[CallableType], + return_types: list[Type], + arg_types: list[Type], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, +) -> bool: + """May an argument containing 'Any' cause ambiguous result type on call to overloaded function? + + Note that this sometimes returns True even if there is no ambiguity, since a correct + implementation would be complex (and the call would be imprecisely typed due to Any + types anyway). + + Args: + items: Overload items matching the actual arguments + arg_types: Actual argument types + arg_kinds: Actual argument kinds + arg_names: Actual argument names + """ + if all_same_types(return_types): + return False + + actual_to_formal = [ + map_formals_to_actuals( + arg_kinds, arg_names, item.arg_kinds, item.arg_names, lambda i: arg_types[i] + ) + for item in items + ] + + for arg_idx, arg_type in enumerate(arg_types): + # We ignore Anys in type object callables as ambiguity + # creators, since that can lead to falsely claiming ambiguity + # for overloads between Type and Callable. + if has_any_type(arg_type, ignore_in_type_obj=True): + matching_formals_unfiltered = [ + (item_idx, lookup[arg_idx]) + for item_idx, lookup in enumerate(actual_to_formal) + if lookup[arg_idx] + ] + + matching_returns = [] + matching_formals = [] + for item_idx, formals in matching_formals_unfiltered: + matched_callable = items[item_idx] + matching_returns.append(matched_callable.ret_type) + + # Note: if an actual maps to multiple formals of differing types within + # a single callable, then we know at least one of those formals must be + # a different type then the formal(s) in some other callable. + # So it's safe to just append everything to the same list. + for formal in formals: + matching_formals.append(matched_callable.arg_types[formal]) + if not all_same_types(matching_formals) and not all_same_types(matching_returns): + # Any maps to multiple different types, and the return types of these items differ. + return True + return False + + +def all_same_types(types: list[Type]) -> bool: + if not types: + return True + return all(is_same_type(t, types[0]) for t in types[1:]) + + +def merge_typevars_in_callables_by_name( + callables: Sequence[CallableType], +) -> tuple[list[CallableType], list[TypeVarType]]: + """Takes all the typevars present in the callables and 'combines' the ones with the same name. + + For example, suppose we have two callables with signatures "f(x: T, y: S) -> T" and + "f(x: List[Tuple[T, S]]) -> Tuple[T, S]". Both callables use typevars named "T" and + "S", but we treat them as distinct, unrelated typevars. (E.g. they could both have + distinct ids.) + + If we pass in both callables into this function, it returns a list containing two + new callables that are identical in signature, but use the same underlying TypeVarType + for T and S. + + This is useful if we want to take the output lists and "merge" them into one callable + in some way -- for example, when unioning together overloads. + + Returns both the new list of callables and a list of all distinct TypeVarType objects used. + """ + output: list[CallableType] = [] + unique_typevars: dict[str, TypeVarType] = {} + variables: list[TypeVarType] = [] + + for target in callables: + if target.is_generic(): + target = freshen_function_type_vars(target) + + rename = {} # Dict[TypeVarId, TypeVar] + for tv in target.variables: + name = tv.fullname + if name not in unique_typevars: + # TODO: support ParamSpecType and TypeVarTuple. + if isinstance(tv, (ParamSpecType, TypeVarTupleType)): + continue + assert isinstance(tv, TypeVarType) + unique_typevars[name] = tv + variables.append(tv) + rename[tv.id] = unique_typevars[name] + + target = expand_type(target, rename) + output.append(target) + + return output, variables + + +def try_getting_literal(typ: Type) -> ProperType: + """If possible, get a more precise literal type for a given type.""" + typ = get_proper_type(typ) + if isinstance(typ, Instance) and typ.last_known_value is not None: + return typ.last_known_value + return typ + + +def is_expr_literal_type(node: Expression) -> bool: + """Returns 'true' if the given node is a Literal""" + if isinstance(node, IndexExpr): + base = node.base + return isinstance(base, RefExpr) and base.fullname in LITERAL_TYPE_NAMES + if isinstance(node, NameExpr): + underlying = node.node + return isinstance(underlying, TypeAlias) and isinstance( + get_proper_type(underlying.target), LiteralType + ) + return False + + +def has_bytes_component(typ: Type) -> bool: + """Is this one of builtin byte types, or a union that contains it?""" + typ = get_proper_type(typ) + byte_types = {"builtins.bytes", "builtins.bytearray"} + if isinstance(typ, UnionType): + return any(has_bytes_component(t) for t in typ.items) + if isinstance(typ, Instance) and typ.type.fullname in byte_types: + return True + return False + + +def type_info_from_type(typ: Type) -> TypeInfo | None: + """Gets the TypeInfo for a type, indirecting through things like type variables and tuples.""" + typ = get_proper_type(typ) + if isinstance(typ, FunctionLike) and typ.is_type_obj(): + return typ.type_object() + if isinstance(typ, TypeType): + typ = typ.item + if isinstance(typ, TypeVarType): + typ = get_proper_type(typ.upper_bound) + if isinstance(typ, TupleType): + typ = tuple_fallback(typ) + if isinstance(typ, Instance): + return typ.type + + # A complicated type. Too tricky, give up. + # TODO: Do something more clever here. + return None + + +def is_operator_method(fullname: str | None) -> bool: + if not fullname: + return False + short_name = fullname.split(".")[-1] + return ( + short_name in operators.op_methods.values() + or short_name in operators.reverse_op_methods.values() + or short_name in operators.unary_op_methods.values() + ) + + +def get_partial_instance_type(t: Type | None) -> PartialType | None: + if t is None or not isinstance(t, PartialType) or t.type is None: + return None + return t + + +def is_type_type_context(context: Type | None) -> bool: + context = get_proper_type(context) + if isinstance(context, TypeType): + return True + if isinstance(context, UnionType): + return any(is_type_type_context(item) for item in context.items) + return False diff --git a/micromamba_root/Lib/site-packages/mypy/checkmember.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checkmember.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..514f42a9977c0ea4885ed0ac4979cd077da28857 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checkmember.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checkmember.py b/micromamba_root/Lib/site-packages/mypy/checkmember.py new file mode 100644 index 0000000000000000000000000000000000000000..3359190092aff37284e254d2de7f71b7fbb02ec4 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checkmember.py @@ -0,0 +1,1588 @@ +"""Type checking of attribute access""" + +from __future__ import annotations + +from collections.abc import Callable, Sequence +from typing import TypeVar, cast + +from mypy import message_registry, state +from mypy.checker_shared import TypeCheckerSharedApi +from mypy.erasetype import erase_typevars +from mypy.expandtype import ( + expand_self_type, + expand_type_by_instance, + freshen_all_functions_type_vars, +) +from mypy.maptype import map_instance_to_supertype +from mypy.meet import is_overlapping_types +from mypy.messages import MessageBuilder +from mypy.nodes import ( + ARG_POS, + ARG_STAR, + ARG_STAR2, + EXCLUDED_ENUM_ATTRIBUTES, + SYMBOL_FUNCBASE_TYPES, + Context, + Decorator, + Expression, + FuncBase, + FuncDef, + IndexExpr, + MypyFile, + NameExpr, + OverloadedFuncDef, + SymbolTable, + TempNode, + TypeAlias, + TypeInfo, + TypeVarLikeExpr, + Var, + is_final_node, +) +from mypy.plugin import AttributeContext +from mypy.subtypes import is_subtype +from mypy.typeops import ( + bind_self, + erase_to_bound, + freeze_all_type_vars, + function_type, + get_all_type_vars, + make_simplified_union, + supported_self_type, + tuple_fallback, +) +from mypy.types import ( + AnyType, + CallableType, + DeletedType, + FunctionLike, + Instance, + LiteralType, + NoneType, + Overloaded, + ParamSpecType, + PartialType, + ProperType, + TupleType, + Type, + TypedDictType, + TypeOfAny, + TypeType, + TypeVarLikeType, + TypeVarTupleType, + TypeVarType, + UninhabitedType, + UnionType, + get_proper_type, +) + + +class MemberContext: + """Information and objects needed to type check attribute access. + + Look at the docstring of analyze_member_access for more information. + """ + + def __init__( + self, + *, + is_lvalue: bool, + is_super: bool, + is_operator: bool, + original_type: Type, + context: Context, + chk: TypeCheckerSharedApi, + self_type: Type | None = None, + module_symbol_table: SymbolTable | None = None, + no_deferral: bool = False, + is_self: bool = False, + rvalue: Expression | None = None, + suppress_errors: bool = False, + preserve_type_var_ids: bool = False, + ) -> None: + self.is_lvalue = is_lvalue + self.is_super = is_super + self.is_operator = is_operator + self.original_type = original_type + self.self_type = self_type or original_type + self.context = context # Error context + self.chk = chk + self.msg = chk.msg + self.module_symbol_table = module_symbol_table + self.no_deferral = no_deferral + self.is_self = is_self + if rvalue is not None: + assert is_lvalue + self.rvalue = rvalue + self.suppress_errors = suppress_errors + # This attribute is only used to preserve old protocol member access logic. + # It is needed to avoid infinite recursion in cases involving self-referential + # generic methods, see find_member() for details. Do not use for other purposes! + self.preserve_type_var_ids = preserve_type_var_ids + + def named_type(self, name: str) -> Instance: + return self.chk.named_type(name) + + def not_ready_callback(self, name: str, context: Context) -> None: + self.chk.handle_cannot_determine_type(name, context) + + def fail(self, msg: str) -> None: + if not self.suppress_errors: + self.msg.fail(msg, self.context) + + def copy_modified( + self, + *, + self_type: Type | None = None, + is_lvalue: bool | None = None, + original_type: Type | None = None, + ) -> MemberContext: + mx = MemberContext( + is_lvalue=self.is_lvalue, + is_super=self.is_super, + is_operator=self.is_operator, + original_type=self.original_type, + context=self.context, + chk=self.chk, + self_type=self.self_type, + module_symbol_table=self.module_symbol_table, + no_deferral=self.no_deferral, + rvalue=self.rvalue, + suppress_errors=self.suppress_errors, + preserve_type_var_ids=self.preserve_type_var_ids, + ) + if self_type is not None: + mx.self_type = self_type + if is_lvalue is not None: + mx.is_lvalue = is_lvalue + if original_type is not None: + mx.original_type = original_type + return mx + + +def analyze_member_access( + name: str, + typ: Type, + context: Context, + *, + is_lvalue: bool, + is_super: bool, + is_operator: bool, + original_type: Type, + chk: TypeCheckerSharedApi, + override_info: TypeInfo | None = None, + in_literal_context: bool = False, + self_type: Type | None = None, + module_symbol_table: SymbolTable | None = None, + no_deferral: bool = False, + is_self: bool = False, + rvalue: Expression | None = None, + suppress_errors: bool = False, +) -> Type: + """Return the type of attribute 'name' of 'typ'. + + The actual implementation is in '_analyze_member_access' and this docstring + also applies to it. + + This is a general operation that supports various different variations: + + 1. lvalue or non-lvalue access (setter or getter access) + 2. supertype access when using super() (is_super == True and + 'override_info' should refer to the supertype) + + 'original_type' is the most precise inferred or declared type of the base object + that we have available. When looking for an attribute of 'typ', we may perform + recursive calls targeting the fallback type, and 'typ' may become some supertype + of 'original_type'. 'original_type' is always preserved as the 'typ' type used in + the initial, non-recursive call. The 'self_type' is a component of 'original_type' + to which generic self should be bound (a narrower type that has a fallback to instance). + Currently, this is used only for union types. + + 'module_symbol_table' is passed to this function if 'typ' is actually a module, + and we want to keep track of the available attributes of the module (since they + are not available via the type object directly) + + 'rvalue' can be provided optionally to infer better setter type when is_lvalue is True, + most notably this helps for descriptors with overloaded __set__() method. + + 'suppress_errors' will skip any logic that is only needed to generate error messages. + Note that this more of a performance optimization, one should not rely on this to not + show any messages, as some may be show e.g. by callbacks called here, + use msg.filter_errors(), if needed. + """ + mx = MemberContext( + is_lvalue=is_lvalue, + is_super=is_super, + is_operator=is_operator, + original_type=original_type, + context=context, + chk=chk, + self_type=self_type, + module_symbol_table=module_symbol_table, + no_deferral=no_deferral, + is_self=is_self, + rvalue=rvalue, + suppress_errors=suppress_errors, + ) + result = _analyze_member_access(name, typ, mx, override_info) + possible_literal = get_proper_type(result) + if ( + in_literal_context + and isinstance(possible_literal, Instance) + and possible_literal.last_known_value is not None + ): + return possible_literal.last_known_value + else: + return result + + +def _analyze_member_access( + name: str, typ: Type, mx: MemberContext, override_info: TypeInfo | None = None +) -> Type: + typ = get_proper_type(typ) + if isinstance(typ, Instance): + return analyze_instance_member_access(name, typ, mx, override_info) + elif isinstance(typ, AnyType): + # The base object has dynamic type. + return AnyType(TypeOfAny.from_another_any, source_any=typ) + elif isinstance(typ, UnionType): + return analyze_union_member_access(name, typ, mx) + elif isinstance(typ, FunctionLike) and typ.is_type_obj(): + return analyze_type_callable_member_access(name, typ, mx) + elif isinstance(typ, TypeType): + return analyze_type_type_member_access(name, typ, mx, override_info) + elif isinstance(typ, TupleType): + # Actually look up from the fallback instance type. + return _analyze_member_access(name, tuple_fallback(typ), mx, override_info) + elif isinstance(typ, (LiteralType, FunctionLike)): + # Actually look up from the fallback instance type. + return _analyze_member_access(name, typ.fallback, mx, override_info) + elif isinstance(typ, TypedDictType): + return analyze_typeddict_access(name, typ, mx, override_info) + elif isinstance(typ, NoneType): + return analyze_none_member_access(name, typ, mx) + elif isinstance(typ, TypeVarLikeType): + if isinstance(typ, TypeVarType) and typ.values: + return _analyze_member_access( + name, make_simplified_union(typ.values), mx, override_info + ) + return _analyze_member_access(name, typ.upper_bound, mx, override_info) + elif isinstance(typ, DeletedType): + if not mx.suppress_errors: + mx.msg.deleted_as_rvalue(typ, mx.context) + return AnyType(TypeOfAny.from_error) + elif isinstance(typ, UninhabitedType): + attr_type = UninhabitedType() + attr_type.ambiguous = typ.ambiguous + return attr_type + return report_missing_attribute(mx.original_type, typ, name, mx) + + +def may_be_awaitable_attribute( + name: str, typ: Type, mx: MemberContext, override_info: TypeInfo | None = None +) -> bool: + """Check if the given type has the attribute when awaited.""" + if mx.chk.checking_missing_await: + # Avoid infinite recursion. + return False + with mx.chk.checking_await_set(), mx.msg.filter_errors() as local_errors: + aw_type = mx.chk.get_precise_awaitable_type(typ, local_errors) + if aw_type is None: + return False + _ = _analyze_member_access( + name, aw_type, mx.copy_modified(self_type=aw_type), override_info + ) + return not local_errors.has_new_errors() + + +def report_missing_attribute( + original_type: Type, + typ: Type, + name: str, + mx: MemberContext, + override_info: TypeInfo | None = None, +) -> Type: + if mx.suppress_errors: + return AnyType(TypeOfAny.from_error) + error_code = mx.msg.has_no_attr(original_type, typ, name, mx.context, mx.module_symbol_table) + if not mx.msg.prefer_simple_messages(): + if may_be_awaitable_attribute(name, typ, mx, override_info): + mx.msg.possible_missing_await(mx.context, error_code) + return AnyType(TypeOfAny.from_error) + + +# The several functions that follow implement analyze_member_access for various +# types and aren't documented individually. + + +def analyze_instance_member_access( + name: str, typ: Instance, mx: MemberContext, override_info: TypeInfo | None +) -> Type: + info = typ.type + if override_info: + info = override_info + + method = info.get_method(name) + + if name == "__init__" and not mx.is_super and not info.is_final: + if not method or not method.is_final: + # Accessing __init__ in statically typed code would compromise + # type safety unless used via super() or the method/class is final. + mx.fail(message_registry.CANNOT_ACCESS_INIT) + return AnyType(TypeOfAny.from_error) + + # The base object has an instance type. + + if ( + state.find_occurrences + and info.name == state.find_occurrences[0] + and name == state.find_occurrences[1] + and not mx.suppress_errors + ): + mx.msg.note("Occurrence of '{}.{}'".format(*state.find_occurrences), mx.context) + + # Look up the member. First look up the method dictionary. + if method and not isinstance(method, Decorator): + if mx.is_super and not mx.suppress_errors: + validate_super_call(method, mx) + + if method.is_property: + assert isinstance(method, OverloadedFuncDef) + getter = method.items[0] + assert isinstance(getter, Decorator) + if mx.is_lvalue and getter.var.is_settable_property: + mx.chk.warn_deprecated(method.setter, mx.context) + return analyze_var(name, getter.var, typ, mx) + + if mx.is_lvalue and not mx.suppress_errors: + mx.msg.cant_assign_to_method(mx.context) + if not isinstance(method, OverloadedFuncDef): + signature = function_type(method, mx.named_type("builtins.function")) + else: + if method.type is None: + # Overloads may be not ready if they are decorated. Handle this in same + # manner as we would handle a regular decorated function: defer if possible. + if not mx.no_deferral and method.items: + mx.not_ready_callback(method.name, mx.context) + return AnyType(TypeOfAny.special_form) + assert isinstance(method.type, Overloaded) + signature = method.type + if not mx.preserve_type_var_ids: + signature = freshen_all_functions_type_vars(signature) + if not method.is_static: + if isinstance(method, (FuncDef, OverloadedFuncDef)) and method.is_trivial_self: + signature = bind_self_fast(signature, mx.self_type) + else: + signature = check_self_arg( + signature, mx.self_type, method.is_class, mx.context, name, mx.msg + ) + signature = bind_self(signature, mx.self_type, is_classmethod=method.is_class) + typ = map_instance_to_supertype(typ, method.info) + member_type = expand_type_by_instance(signature, typ) + freeze_all_type_vars(member_type) + return member_type + else: + # Not a method. + return analyze_member_var_access(name, typ, info, mx) + + +def validate_super_call(node: FuncBase, mx: MemberContext) -> None: + unsafe_super = False + if isinstance(node, FuncDef) and node.is_trivial_body: + unsafe_super = True + elif isinstance(node, OverloadedFuncDef): + if node.impl: + impl = node.impl if isinstance(node.impl, FuncDef) else node.impl.func + unsafe_super = impl.is_trivial_body + elif not node.is_property and node.items: + assert isinstance(node.items[0], Decorator) + unsafe_super = node.items[0].func.is_trivial_body + if unsafe_super: + mx.msg.unsafe_super(node.name, node.info.name, mx.context) + + +def analyze_type_callable_member_access(name: str, typ: FunctionLike, mx: MemberContext) -> Type: + # Class attribute. + # TODO super? + ret_type = typ.items[0].ret_type + assert isinstance(ret_type, ProperType) + if isinstance(ret_type, TupleType): + ret_type = tuple_fallback(ret_type) + if isinstance(ret_type, TypedDictType): + ret_type = ret_type.fallback + if isinstance(ret_type, LiteralType): + ret_type = ret_type.fallback + if isinstance(ret_type, Instance): + if not mx.is_operator: + # When Python sees an operator (eg `3 == 4`), it automatically translates that + # into something like `int.__eq__(3, 4)` instead of `(3).__eq__(4)` as an + # optimization. + # + # While it normally it doesn't matter which of the two versions are used, it + # does cause inconsistencies when working with classes. For example, translating + # `int == int` to `int.__eq__(int)` would not work since `int.__eq__` is meant to + # compare two int _instances_. What we really want is `type(int).__eq__`, which + # is meant to compare two types or classes. + # + # This check makes sure that when we encounter an operator, we skip looking up + # the corresponding method in the current instance to avoid this edge case. + # See https://github.com/python/mypy/pull/1787 for more info. + # TODO: do not rely on same type variables being present in all constructor overloads. + result = analyze_class_attribute_access( + ret_type, name, mx, original_vars=typ.items[0].variables, mcs_fallback=typ.fallback + ) + if result: + return result + # Look up from the 'type' type. + return _analyze_member_access(name, typ.fallback, mx) + else: + assert False, f"Unexpected type {ret_type!r}" + + +def analyze_type_type_member_access( + name: str, typ: TypeType, mx: MemberContext, override_info: TypeInfo | None +) -> Type: + # Similar to analyze_type_callable_attribute_access. + item = None + fallback = mx.named_type("builtins.type") + if isinstance(typ.item, Instance): + item = typ.item + elif isinstance(typ.item, AnyType): + with mx.msg.filter_errors(): + return _analyze_member_access(name, fallback, mx, override_info) + elif isinstance(typ.item, TypeVarType): + upper_bound = get_proper_type(typ.item.upper_bound) + if isinstance(upper_bound, Instance): + item = upper_bound + elif isinstance(upper_bound, UnionType): + return _analyze_member_access( + name, + TypeType.make_normalized(upper_bound, line=typ.line, column=typ.column), + mx, + override_info, + ) + elif isinstance(upper_bound, TupleType): + item = tuple_fallback(upper_bound) + elif isinstance(upper_bound, AnyType): + with mx.msg.filter_errors(): + return _analyze_member_access(name, fallback, mx, override_info) + elif isinstance(typ.item, TupleType): + item = tuple_fallback(typ.item) + elif isinstance(typ.item, FunctionLike) and typ.item.is_type_obj(): + item = typ.item.fallback + elif isinstance(typ.item, TypeType): + # Access member on metaclass object via Type[Type[C]] + if isinstance(typ.item.item, Instance): + item = typ.item.item.type.metaclass_type + ignore_messages = False + + if item is not None: + fallback = item.type.metaclass_type or fallback + + if item and not mx.is_operator: + # See comment above for why operators are skipped + result = analyze_class_attribute_access( + item, name, mx, mcs_fallback=fallback, override_info=override_info + ) + if result: + if not (isinstance(get_proper_type(result), AnyType) and item.type.fallback_to_any): + return result + else: + # We don't want errors on metaclass lookup for classes with Any fallback + ignore_messages = True + + with mx.msg.filter_errors(filter_errors=ignore_messages): + return _analyze_member_access(name, fallback, mx, override_info) + + +def analyze_union_member_access(name: str, typ: UnionType, mx: MemberContext) -> Type: + with mx.msg.disable_type_names(): + results = [] + for subtype in typ.relevant_items(): + # Self types should be bound to every individual item of a union. + item_mx = mx.copy_modified(self_type=subtype) + results.append(_analyze_member_access(name, subtype, item_mx)) + return make_simplified_union(results) + + +def analyze_none_member_access(name: str, typ: NoneType, mx: MemberContext) -> Type: + if name == "__bool__": + literal_false = LiteralType(False, fallback=mx.named_type("builtins.bool")) + return CallableType( + arg_types=[], + arg_kinds=[], + arg_names=[], + ret_type=literal_false, + fallback=mx.named_type("builtins.function"), + ) + else: + return _analyze_member_access(name, mx.named_type("builtins.object"), mx) + + +def analyze_member_var_access( + name: str, itype: Instance, info: TypeInfo, mx: MemberContext +) -> Type: + """Analyse attribute access that does not target a method. + + This is logically part of analyze_member_access and the arguments are similar. + + original_type is the type of E in the expression E.var + """ + # It was not a method. Try looking up a variable. + node = info.get(name) + v = node.node if node else None + + mx.chk.warn_deprecated(v, mx.context) + + vv = v + is_trivial_self = False + if isinstance(vv, Decorator): + # The associated Var node of a decorator contains the type. + v = vv.var + is_trivial_self = vv.func.is_trivial_self and not vv.decorators + if mx.is_super and not mx.suppress_errors: + validate_super_call(vv.func, mx) + if isinstance(v, FuncDef): + assert False, "Did not expect a function" + if isinstance(v, MypyFile): + # Special case: accessing module on instances is allowed, but will not + # be recorded by semantic analyzer. + mx.chk.module_refs.add(v.fullname) + + if isinstance(vv, (TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): + # If the associated variable is a TypeInfo synthesize a Var node for + # the purposes of type checking. This enables us to type check things + # like accessing class attributes on an inner class. Similar we allow + # using qualified type aliases in runtime context. For example: + # class C: + # A = List[int] + # x = C.A() <- this is OK + typ = mx.chk.expr_checker.analyze_static_reference(vv, mx.context, mx.is_lvalue) + v = Var(name, type=typ) + v.info = info + + if isinstance(v, Var): + implicit = info[name].implicit + + # An assignment to final attribute is always an error, + # independently of types. + if mx.is_lvalue and not mx.chk.get_final_context(): + check_final_member(name, info, mx.msg, mx.context) + + return analyze_var(name, v, itype, mx, implicit=implicit, is_trivial_self=is_trivial_self) + elif ( + not v + and name not in ["__getattr__", "__setattr__", "__getattribute__"] + and not mx.is_operator + and mx.module_symbol_table is None + ): + # Above we skip ModuleType.__getattr__ etc. if we have a + # module symbol table, since the symbol table allows precise + # checking. + if not mx.is_lvalue: + for method_name in ("__getattribute__", "__getattr__"): + method = info.get_method(method_name) + + # __getattribute__ is defined on builtins.object and returns Any, so without + # the guard this search will always find object.__getattribute__ and conclude + # that the attribute exists + if method and method.info.fullname != "builtins.object": + bound_method = analyze_decorator_or_funcbase_access( + defn=method, itype=itype, name=method_name, mx=mx + ) + typ = map_instance_to_supertype(itype, method.info) + getattr_type = get_proper_type(expand_type_by_instance(bound_method, typ)) + if isinstance(getattr_type, CallableType): + result = getattr_type.ret_type + else: + result = getattr_type + + # Call the attribute hook before returning. + fullname = f"{method.info.fullname}.{name}" + hook = mx.chk.plugin.get_attribute_hook(fullname) + if hook: + result = hook( + AttributeContext( + get_proper_type(mx.original_type), + result, + mx.is_lvalue, + mx.context, + mx.chk, + ) + ) + return result + else: + setattr_meth = info.get_method("__setattr__") + if setattr_meth and setattr_meth.info.fullname != "builtins.object": + bound_type = analyze_decorator_or_funcbase_access( + defn=setattr_meth, + itype=itype, + name="__setattr__", + mx=mx.copy_modified(is_lvalue=False), + ) + typ = map_instance_to_supertype(itype, setattr_meth.info) + setattr_type = get_proper_type(expand_type_by_instance(bound_type, typ)) + if isinstance(setattr_type, CallableType) and len(setattr_type.arg_types) > 0: + return setattr_type.arg_types[-1] + + if itype.type.fallback_to_any: + return AnyType(TypeOfAny.special_form) + + # Could not find the member. + if itype.extra_attrs and name in itype.extra_attrs.attrs: + # For modules use direct symbol table lookup. + if not itype.extra_attrs.mod_name: + return itype.extra_attrs.attrs[name] + + if mx.is_super and not mx.suppress_errors: + mx.msg.undefined_in_superclass(name, mx.context) + return AnyType(TypeOfAny.from_error) + else: + ret = report_missing_attribute(mx.original_type, itype, name, mx) + # Avoid paying double jeopardy if we can't find the member due to --no-implicit-reexport + if ( + mx.module_symbol_table is not None + and name in mx.module_symbol_table + and not mx.module_symbol_table[name].module_public + ): + v = mx.module_symbol_table[name].node + e = NameExpr(name) + e.set_line(mx.context) + e.node = v + return mx.chk.expr_checker.analyze_ref_expr(e, lvalue=mx.is_lvalue) + return ret + + +def check_final_member(name: str, info: TypeInfo, msg: MessageBuilder, ctx: Context) -> None: + """Give an error if the name being assigned was declared as final.""" + for base in info.mro: + sym = base.names.get(name) + if sym and is_final_node(sym.node): + msg.cant_assign_to_final(name, attr_assign=True, ctx=ctx) + + +def analyze_descriptor_access(descriptor_type: Type, mx: MemberContext) -> Type: + """Type check descriptor access. + + Arguments: + descriptor_type: The type of the descriptor attribute being accessed + (the type of ``f`` in ``a.f`` when ``f`` is a descriptor). + mx: The current member access context. + Return: + The return type of the appropriate ``__get__/__set__`` overload for the descriptor. + """ + instance_type = get_proper_type(mx.self_type) + orig_descriptor_type = descriptor_type + descriptor_type = get_proper_type(descriptor_type) + + if isinstance(descriptor_type, UnionType): + # Map the access over union types + return make_simplified_union( + [analyze_descriptor_access(typ, mx) for typ in descriptor_type.items] + ) + elif not isinstance(descriptor_type, Instance): + return orig_descriptor_type + + if not mx.is_lvalue and not descriptor_type.type.has_readable_member("__get__"): + return orig_descriptor_type + + # We do this check first to accommodate for descriptors with only __set__ method. + # If there is no __set__, we type-check that the assigned value matches + # the return type of __get__. This doesn't match the python semantics, + # (which allow you to override the descriptor with any value), but preserves + # the type of accessing the attribute (even after the override). + if mx.is_lvalue and descriptor_type.type.has_readable_member("__set__"): + return analyze_descriptor_assign(descriptor_type, mx) + + if mx.is_lvalue and not descriptor_type.type.has_readable_member("__get__"): + # This turned out to be not a descriptor after all. + return orig_descriptor_type + + dunder_get = descriptor_type.type.get_method("__get__") + if dunder_get is None: + mx.fail( + message_registry.DESCRIPTOR_GET_NOT_CALLABLE.format( + descriptor_type.str_with_options(mx.msg.options) + ) + ) + return AnyType(TypeOfAny.from_error) + + bound_method = analyze_decorator_or_funcbase_access( + defn=dunder_get, + itype=descriptor_type, + name="__get__", + mx=mx.copy_modified(self_type=descriptor_type), + ) + + typ = map_instance_to_supertype(descriptor_type, dunder_get.info) + dunder_get_type = expand_type_by_instance(bound_method, typ) + + if isinstance(instance_type, FunctionLike) and instance_type.is_type_obj(): + owner_type = instance_type.items[0].ret_type + instance_type = NoneType() + elif isinstance(instance_type, TypeType): + owner_type = instance_type.item + instance_type = NoneType() + else: + owner_type = instance_type + + callable_name = mx.chk.expr_checker.method_fullname(descriptor_type, "__get__") + dunder_get_type = mx.chk.expr_checker.transform_callee_type( + callable_name, + dunder_get_type, + [ + TempNode(instance_type, context=mx.context), + TempNode(TypeType.make_normalized(owner_type), context=mx.context), + ], + [ARG_POS, ARG_POS], + mx.context, + object_type=descriptor_type, + ) + + _, inferred_dunder_get_type = mx.chk.expr_checker.check_call( + dunder_get_type, + [ + TempNode(instance_type, context=mx.context), + TempNode(TypeType.make_normalized(owner_type), context=mx.context), + ], + [ARG_POS, ARG_POS], + mx.context, + object_type=descriptor_type, + callable_name=callable_name, + ) + + # Search for possible deprecations: + mx.chk.warn_deprecated(dunder_get, mx.context) + + inferred_dunder_get_type = get_proper_type(inferred_dunder_get_type) + if isinstance(inferred_dunder_get_type, AnyType): + # check_call failed, and will have reported an error + return inferred_dunder_get_type + + if not isinstance(inferred_dunder_get_type, CallableType): + mx.fail( + message_registry.DESCRIPTOR_GET_NOT_CALLABLE.format( + descriptor_type.str_with_options(mx.msg.options) + ) + ) + return AnyType(TypeOfAny.from_error) + + return inferred_dunder_get_type.ret_type + + +def analyze_descriptor_assign(descriptor_type: Instance, mx: MemberContext) -> Type: + instance_type = get_proper_type(mx.self_type) + dunder_set = descriptor_type.type.get_method("__set__") + if dunder_set is None: + mx.fail( + message_registry.DESCRIPTOR_SET_NOT_CALLABLE.format( + descriptor_type.str_with_options(mx.msg.options) + ).value + ) + return AnyType(TypeOfAny.from_error) + + bound_method = analyze_decorator_or_funcbase_access( + defn=dunder_set, + itype=descriptor_type, + name="__set__", + mx=mx.copy_modified(is_lvalue=False, self_type=descriptor_type), + ) + typ = map_instance_to_supertype(descriptor_type, dunder_set.info) + dunder_set_type = expand_type_by_instance(bound_method, typ) + + callable_name = mx.chk.expr_checker.method_fullname(descriptor_type, "__set__") + rvalue = mx.rvalue or TempNode(AnyType(TypeOfAny.special_form), context=mx.context) + dunder_set_type = mx.chk.expr_checker.transform_callee_type( + callable_name, + dunder_set_type, + [TempNode(instance_type, context=mx.context), rvalue], + [ARG_POS, ARG_POS], + mx.context, + object_type=descriptor_type, + ) + + # For non-overloaded setters, the result should be type-checked like a regular assignment. + # Hence, we first only try to infer the type by using the rvalue as type context. + type_context = rvalue + with mx.msg.filter_errors(): + _, inferred_dunder_set_type = mx.chk.expr_checker.check_call( + dunder_set_type, + [TempNode(instance_type, context=mx.context), type_context], + [ARG_POS, ARG_POS], + mx.context, + object_type=descriptor_type, + callable_name=callable_name, + ) + + # And now we in fact type check the call, to show errors related to wrong arguments + # count, etc., replacing the type context for non-overloaded setters only. + inferred_dunder_set_type = get_proper_type(inferred_dunder_set_type) + if isinstance(inferred_dunder_set_type, CallableType): + type_context = TempNode(AnyType(TypeOfAny.special_form), context=mx.context) + mx.chk.expr_checker.check_call( + dunder_set_type, + [TempNode(instance_type, context=mx.context), type_context], + [ARG_POS, ARG_POS], + mx.context, + object_type=descriptor_type, + callable_name=callable_name, + ) + + # Search for possible deprecations: + mx.chk.warn_deprecated(dunder_set, mx.context) + + # In the following cases, a message already will have been recorded in check_call. + if (not isinstance(inferred_dunder_set_type, CallableType)) or ( + len(inferred_dunder_set_type.arg_types) < 2 + ): + return AnyType(TypeOfAny.from_error) + return inferred_dunder_set_type.arg_types[1] + + +def is_instance_var(var: Var) -> bool: + """Return if var is an instance variable according to PEP 526.""" + return ( + # check the type_info node is the var (not a decorated function, etc.) + var.name in var.info.names + and var.info.names[var.name].node is var + and not var.is_classvar + # variables without annotations are treated as classvar + and not var.is_inferred + ) + + +def analyze_var( + name: str, + var: Var, + itype: Instance, + mx: MemberContext, + *, + implicit: bool = False, + is_trivial_self: bool = False, +) -> Type: + """Analyze access to an attribute via a Var node. + + This is conceptually part of analyze_member_access and the arguments are similar. + itype is the instance type in which attribute should be looked up + original_type is the type of E in the expression E.var + if implicit is True, the original Var was created as an assignment to self + if is_trivial_self is True, we can use fast path for bind_self(). + """ + # Found a member variable. + original_itype = itype + itype = map_instance_to_supertype(itype, var.info) + if var.is_settable_property and mx.is_lvalue: + typ: Type | None = var.setter_type + if typ is None and var.is_ready: + # Existing synthetic properties may not set setter type. Fall back to getter. + typ = var.type + else: + typ = var.type + if typ: + if isinstance(typ, PartialType): + return mx.chk.handle_partial_var_type(typ, mx.is_lvalue, var, mx.context) + if mx.is_lvalue and not mx.suppress_errors: + if var.is_property and not var.is_settable_property: + mx.msg.read_only_property(name, itype.type, mx.context) + if var.is_classvar: + mx.msg.cant_assign_to_classvar(name, mx.context) + # This is the most common case for variables, so start with this. + result = expand_without_binding(typ, var, itype, original_itype, mx) + + # A non-None value indicates that we should actually bind self for this variable. + call_type: ProperType | None = None + if var.is_initialized_in_class and (not is_instance_var(var) or mx.is_operator): + typ = get_proper_type(typ) + if isinstance(typ, FunctionLike) and not typ.is_type_obj(): + call_type = typ + elif var.is_property: + deco_mx = mx.copy_modified(original_type=typ, self_type=typ, is_lvalue=False) + call_type = get_proper_type(_analyze_member_access("__call__", typ, deco_mx)) + else: + call_type = typ + + # Bound variables with callable types are treated like methods + # (these are usually method aliases like __rmul__ = __mul__). + if isinstance(call_type, FunctionLike) and not call_type.is_type_obj(): + if mx.is_lvalue and not var.is_property and not mx.suppress_errors: + mx.msg.cant_assign_to_method(mx.context) + + # Bind the self type for each callable component (when needed). + if call_type and not var.is_staticmethod: + bound_items = [] + for ct in call_type.items if isinstance(call_type, UnionType) else [call_type]: + p_ct = get_proper_type(ct) + if isinstance(p_ct, FunctionLike) and (not p_ct.bound() or var.is_property): + item = expand_and_bind_callable(p_ct, var, itype, name, mx, is_trivial_self) + else: + item = expand_without_binding(ct, var, itype, original_itype, mx) + bound_items.append(item) + result = UnionType.make_union(bound_items) + else: + if not var.is_ready and not mx.no_deferral: + mx.not_ready_callback(var.name, mx.context) + # Implicit 'Any' type. + result = AnyType(TypeOfAny.special_form) + fullname = f"{var.info.fullname}.{name}" + hook = mx.chk.plugin.get_attribute_hook(fullname) + + if var.info.is_enum and not mx.is_lvalue: + if name in var.info.enum_members and name not in {"name", "value"}: + enum_literal = LiteralType(name, fallback=itype) + result = itype.copy_modified(last_known_value=enum_literal) + elif ( + isinstance(p_result := get_proper_type(result), Instance) + and p_result.type.fullname == "enum.nonmember" + and p_result.args + ): + # Unwrap nonmember similar to class-level access + result = p_result.args[0] + if result and not (implicit or var.info.is_protocol and is_instance_var(var)): + result = analyze_descriptor_access(result, mx) + if hook: + result = hook( + AttributeContext( + get_proper_type(mx.original_type), result, mx.is_lvalue, mx.context, mx.chk + ) + ) + return result + + +def expand_without_binding( + typ: Type, var: Var, itype: Instance, original_itype: Instance, mx: MemberContext +) -> Type: + if not mx.preserve_type_var_ids: + typ = freshen_all_functions_type_vars(typ) + typ = expand_self_type_if_needed(typ, mx, var, original_itype) + expanded = expand_type_by_instance(typ, itype) + freeze_all_type_vars(expanded) + return expanded + + +def expand_and_bind_callable( + functype: FunctionLike, + var: Var, + itype: Instance, + name: str, + mx: MemberContext, + is_trivial_self: bool, +) -> Type: + if not mx.preserve_type_var_ids: + functype = freshen_all_functions_type_vars(functype) + typ = get_proper_type(expand_self_type(var, functype, mx.self_type)) + assert isinstance(typ, FunctionLike) + if is_trivial_self: + typ = bind_self_fast(typ, mx.self_type) + else: + typ = check_self_arg(typ, mx.self_type, var.is_classmethod, mx.context, name, mx.msg) + typ = bind_self(typ, mx.self_type, var.is_classmethod) + expanded = expand_type_by_instance(typ, itype) + freeze_all_type_vars(expanded) + if not var.is_property: + return expanded + if isinstance(expanded, Overloaded): + # Legacy way to store settable properties is with overloads. Also in case it is + # an actual overloaded property, selecting first item that passed check_self_arg() + # is a good approximation, long-term we should use check_call() inference below. + if not expanded.items: + # A broken overload, error should be already reported. + return AnyType(TypeOfAny.from_error) + expanded = expanded.items[0] + assert isinstance(expanded, CallableType), expanded + if var.is_settable_property and mx.is_lvalue and var.setter_type is not None: + if expanded.variables: + type_ctx = mx.rvalue or TempNode(AnyType(TypeOfAny.special_form), context=mx.context) + _, inferred_expanded = mx.chk.expr_checker.check_call( + expanded, [type_ctx], [ARG_POS], mx.context + ) + expanded = get_proper_type(inferred_expanded) + assert isinstance(expanded, CallableType) + if not expanded.arg_types: + # This can happen when accessing invalid property from its own body, + # error will be reported elsewhere. + return AnyType(TypeOfAny.from_error) + return expanded.arg_types[0] + else: + return expanded.ret_type + + +def expand_self_type_if_needed( + t: Type, mx: MemberContext, var: Var, itype: Instance, is_class: bool = False +) -> Type: + """Expand special Self type in a backwards compatible manner. + + This should ensure that mixing old-style and new-style self-types work + seamlessly. Also, re-bind new style self-types in subclasses if needed. + """ + original = get_proper_type(mx.self_type) + if not (mx.is_self or mx.is_super): + repl = mx.self_type + if is_class: + if isinstance(original, TypeType): + repl = original.item + elif isinstance(original, CallableType): + # Problematic access errors should have been already reported. + repl = erase_typevars(original.ret_type) + else: + repl = itype + return expand_self_type(var, t, repl) + elif supported_self_type( + # Support compatibility with plain old style T -> T and Type[T] -> T only. + get_proper_type(mx.self_type), + allow_instances=False, + allow_callable=False, + ): + repl = mx.self_type + if is_class and isinstance(original, TypeType): + repl = original.item + return expand_self_type(var, t, repl) + elif ( + mx.is_self + and itype.type != var.info + # If an attribute with Self-type was defined in a supertype, we need to + # rebind the Self type variable to Self type variable of current class... + and itype.type.self_type is not None + # ...unless `self` has an explicit non-trivial annotation. + and itype == mx.chk.scope.active_self_type() + ): + return expand_self_type(var, t, itype.type.self_type) + else: + return t + + +def check_self_arg( + functype: FunctionLike, + dispatched_arg_type: Type, + is_classmethod: bool, + context: Context, + name: str, + msg: MessageBuilder, +) -> FunctionLike: + """Check that an instance has a valid type for a method with annotated 'self'. + + For example if the method is defined as: + class A: + def f(self: S) -> T: ... + then for 'x.f' we check that type(x) <: S. If the method is overloaded, we select + only overloads items that satisfy this requirement. If there are no matching + overloads, an error is generated. + """ + items = functype.items + if not items: + return functype + new_items = [] + if is_classmethod: + dispatched_arg_type = TypeType.make_normalized(dispatched_arg_type) + p_dispatched_arg_type = get_proper_type(dispatched_arg_type) + + for item in items: + if not item.arg_types or item.arg_kinds[0] not in (ARG_POS, ARG_STAR): + # No positional first (self) argument (*args is okay). + msg.no_formal_self(name, item, context) + # This is pretty bad, so just return the original signature if + # there is at least one such error. + return functype + selfarg = get_proper_type(item.arg_types[0]) + if isinstance(selfarg, Instance) and isinstance(p_dispatched_arg_type, Instance): + if selfarg.type is p_dispatched_arg_type.type and selfarg.args: + if not is_overlapping_types(p_dispatched_arg_type, selfarg): + # This special casing is needed since `actual <: erased(template)` + # logic below doesn't always work, and a more correct approach may + # be tricky. + continue + new_items.append(item) + + if new_items: + items = new_items + new_items = [] + + for item in items: + selfarg = get_proper_type(item.arg_types[0]) + # This matches similar special-casing in bind_self(), see more details there. + self_callable = name == "__call__" and isinstance(selfarg, CallableType) + if self_callable or is_subtype( + dispatched_arg_type, + # This level of erasure matches the one in checker.check_func_def(), + # better keep these two checks consistent. + erase_typevars(erase_to_bound(selfarg)), + # This is to work around the fact that erased ParamSpec and TypeVarTuple + # callables are not always compatible with non-erased ones both ways. + always_covariant=any( + not isinstance(tv, TypeVarType) for tv in get_all_type_vars(selfarg) + ), + ignore_pos_arg_names=True, + ): + new_items.append(item) + elif isinstance(selfarg, ParamSpecType): + # TODO: This is not always right. What's the most reasonable thing to do here? + new_items.append(item) + elif isinstance(selfarg, TypeVarTupleType): + raise NotImplementedError + if not new_items: + # Choose first item for the message (it may be not very helpful for overloads). + msg.incompatible_self_argument( + name, dispatched_arg_type, items[0], is_classmethod, context + ) + return functype + if len(new_items) == 1: + return new_items[0] + return Overloaded(new_items) + + +def analyze_class_attribute_access( + itype: Instance, + name: str, + mx: MemberContext, + *, + mcs_fallback: Instance, + override_info: TypeInfo | None = None, + original_vars: Sequence[TypeVarLikeType] | None = None, +) -> Type | None: + """Analyze access to an attribute on a class object. + + itype is the return type of the class object callable, original_type is the type + of E in the expression E.var, original_vars are type variables of the class callable + (for generic classes). + """ + info = itype.type + if override_info: + info = override_info + + fullname = f"{info.fullname}.{name}" + hook = mx.chk.plugin.get_class_attribute_hook(fullname) + + node = info.get(name) + if not node: + if itype.extra_attrs and name in itype.extra_attrs.attrs: + # For modules use direct symbol table lookup. + if not itype.extra_attrs.mod_name: + return itype.extra_attrs.attrs[name] + if info.fallback_to_any or info.meta_fallback_to_any: + return apply_class_attr_hook(mx, hook, AnyType(TypeOfAny.special_form)) + return None + + if ( + isinstance(node.node, Var) + and not node.node.is_classvar + and not hook + and mcs_fallback.type.get(name) + ): + # If the same attribute is declared on the metaclass and the class but with different types, + # and the attribute on the class is not a ClassVar, + # the type of the attribute on the metaclass should take priority + # over the type of the attribute on the class, + # when the attribute is being accessed from the class object itself. + # + # Return `None` here to signify that the name should be looked up + # on the class object itself rather than the instance. + return None + + mx.chk.warn_deprecated(node.node, mx.context) + + is_decorated = isinstance(node.node, Decorator) + is_method = is_decorated or isinstance(node.node, FuncBase) + if mx.is_lvalue and not mx.suppress_errors: + if is_method: + mx.msg.cant_assign_to_method(mx.context) + if isinstance(node.node, TypeInfo): + mx.fail(message_registry.CANNOT_ASSIGN_TO_TYPE) + + # Refuse class attribute access if slot defined + if info.slots and name in info.slots: + mx.fail(message_registry.CLASS_VAR_CONFLICTS_SLOTS.format(name)) + + if node.implicit and isinstance(node.node, Var): + if node.node.is_final: + # If a final attribute was declared on `self` in `__init__`, then it + # can't be accessed on the class object. + mx.fail(message_registry.CANNOT_ACCESS_FINAL_INSTANCE_ATTR.format(node.node.name)) + elif not mx.is_lvalue and not defined_in_superclass(info, name): + mx.fail(message_registry.CANNOT_ACCESS_INSTANCE_ONLY_ATTR.format(node.node.name)) + + # An assignment to final attribute on class object is also always an error, + # independently of types. + if mx.is_lvalue and not mx.chk.get_final_context(): + check_final_member(name, info, mx.msg, mx.context) + + if info.is_enum and not (mx.is_lvalue or is_decorated or is_method): + enum_class_attribute_type = analyze_enum_class_attribute_access(itype, name, mx) + if enum_class_attribute_type: + return apply_class_attr_hook(mx, hook, enum_class_attribute_type) + + t = node.type + if t: + if isinstance(t, PartialType): + symnode = node.node + assert isinstance(symnode, Var) + return apply_class_attr_hook( + mx, hook, mx.chk.handle_partial_var_type(t, mx.is_lvalue, symnode, mx.context) + ) + + # Find the class where method/variable was defined. + if isinstance(node.node, Decorator): + super_info: TypeInfo | None = node.node.var.info + elif isinstance(node.node, (Var, SYMBOL_FUNCBASE_TYPES)): + super_info = node.node.info + else: + super_info = None + + # Map the type to how it would look as a defining class. For example: + # class C(Generic[T]): ... + # class D(C[Tuple[T, S]]): ... + # D[int, str].method() + # Here itype is D[int, str], isuper is C[Tuple[int, str]]. + if not super_info: + isuper = None + else: + isuper = map_instance_to_supertype(itype, super_info) + + if isinstance(node.node, Var): + assert isuper is not None + object_type = get_proper_type(mx.self_type) + # Check if original variable type has type variables. For example: + # class C(Generic[T]): + # x: T + # C.x # Error, ambiguous access + # C[int].x # Also an error, since C[int] is same as C at runtime + # Exception is Self type wrapped in ClassVar, that is safe. + prohibit_self = not node.node.is_classvar + def_vars = set(node.node.info.defn.type_vars) + if prohibit_self and node.node.info.self_type: + def_vars.add(node.node.info.self_type) + # Exception: access on Type[...], including first argument of class methods is OK. + prohibit_generic = not isinstance(object_type, TypeType) or node.implicit + if prohibit_generic and def_vars & set(get_all_type_vars(t)): + if node.node.is_classvar: + message = message_registry.GENERIC_CLASS_VAR_ACCESS + else: + message = message_registry.GENERIC_INSTANCE_VAR_CLASS_ACCESS + mx.fail(message) + t = expand_self_type_if_needed(t, mx, node.node, itype, is_class=True) + t = expand_type_by_instance(t, isuper) + # Erase non-mapped variables, but keep mapped ones, even if there is an error. + # In the above example this means that we infer following types: + # C.x -> Any + # C[int].x -> int + if prohibit_generic: + erase_vars = set(itype.type.defn.type_vars) + if prohibit_self and itype.type.self_type: + erase_vars.add(itype.type.self_type) + t = erase_typevars(t, {tv.id for tv in erase_vars}) + + is_classmethod = ( + (is_decorated and cast(Decorator, node.node).func.is_class) + or (isinstance(node.node, SYMBOL_FUNCBASE_TYPES) and node.node.is_class) + or isinstance(node.node, Var) + and node.node.is_classmethod + ) + t = get_proper_type(t) + is_trivial_self = False + if isinstance(node.node, Decorator): + # Use fast path if there are trivial decorators like @classmethod or @property + is_trivial_self = node.node.func.is_trivial_self and not node.node.decorators + elif isinstance(node.node, (FuncDef, OverloadedFuncDef)): + is_trivial_self = node.node.is_trivial_self + if ( + isinstance(t, FunctionLike) + and is_classmethod + and not is_trivial_self + and not t.bound() + ): + t = check_self_arg(t, mx.self_type, False, mx.context, name, mx.msg) + t = add_class_tvars( + t, + isuper, + is_classmethod, + mx, + original_vars=original_vars, + is_trivial_self=is_trivial_self, + ) + if is_decorated: + t = expand_self_type_if_needed( + t, mx, cast(Decorator, node.node).var, itype, is_class=is_classmethod + ) + + result = t + # __set__ is not called on class objects. + if not mx.is_lvalue: + result = analyze_descriptor_access(result, mx) + + return apply_class_attr_hook(mx, hook, result) + elif isinstance(node.node, Var): + mx.not_ready_callback(name, mx.context) + return AnyType(TypeOfAny.special_form) + + if isinstance(node.node, (TypeInfo, TypeAlias, MypyFile, TypeVarLikeExpr)): + # TODO: should we apply class plugin here (similar to instance access)? + return mx.chk.expr_checker.analyze_static_reference(node.node, mx.context, mx.is_lvalue) + + if is_decorated: + assert isinstance(node.node, Decorator) + if node.node.type: + return apply_class_attr_hook(mx, hook, node.node.type) + else: + mx.not_ready_callback(name, mx.context) + return AnyType(TypeOfAny.from_error) + else: + assert isinstance(node.node, SYMBOL_FUNCBASE_TYPES) + typ = function_type(node.node, mx.named_type("builtins.function")) + # Note: if we are accessing class method on class object, the cls argument is bound. + # Annotated and/or explicit class methods go through other code paths above, for + # unannotated implicit class methods we do this here. + if node.node.is_class: + typ = bind_self_fast(typ) + return apply_class_attr_hook(mx, hook, typ) + + +def apply_class_attr_hook( + mx: MemberContext, hook: Callable[[AttributeContext], Type] | None, result: Type +) -> Type | None: + if hook: + result = hook( + AttributeContext( + get_proper_type(mx.original_type), result, mx.is_lvalue, mx.context, mx.chk + ) + ) + return result + + +def analyze_enum_class_attribute_access( + itype: Instance, name: str, mx: MemberContext +) -> Type | None: + # Skip these since Enum will remove it + if name in EXCLUDED_ENUM_ATTRIBUTES: + return report_missing_attribute(mx.original_type, itype, name, mx) + + node = itype.type.get(name) + if node and node.type: + proper = get_proper_type(node.type) + # Support `A = nonmember(1)` function call and decorator. + if ( + isinstance(proper, Instance) + and proper.type.fullname == "enum.nonmember" + and proper.args + ): + return proper.args[0] + + if name not in itype.type.enum_members: + return None + + enum_literal = LiteralType(name, fallback=itype) + return itype.copy_modified(last_known_value=enum_literal) + + +def analyze_typeddict_access( + name: str, typ: TypedDictType, mx: MemberContext, override_info: TypeInfo | None +) -> Type: + if name == "__setitem__": + if isinstance(mx.context, IndexExpr): + # Since we can get this during `a['key'] = ...` + # it is safe to assume that the context is `IndexExpr`. + item_type, key_names = mx.chk.expr_checker.visit_typeddict_index_expr( + typ, mx.context.index, setitem=True + ) + assigned_readonly_keys = typ.readonly_keys & key_names + if assigned_readonly_keys and not mx.suppress_errors: + mx.msg.readonly_keys_mutated(assigned_readonly_keys, context=mx.context) + else: + # It can also be `a.__setitem__(...)` direct call. + # In this case `item_type` can be `Any`, + # because we don't have args available yet. + # TODO: check in `default` plugin that `__setitem__` is correct. + item_type = AnyType(TypeOfAny.implementation_artifact) + return CallableType( + arg_types=[mx.chk.named_type("builtins.str"), item_type], + arg_kinds=[ARG_POS, ARG_POS], + arg_names=[None, None], + ret_type=NoneType(), + fallback=mx.chk.named_type("builtins.function"), + name=name, + ) + elif name == "__delitem__": + return CallableType( + arg_types=[mx.chk.named_type("builtins.str")], + arg_kinds=[ARG_POS], + arg_names=[None], + ret_type=NoneType(), + fallback=mx.chk.named_type("builtins.function"), + name=name, + ) + return _analyze_member_access(name, typ.fallback, mx, override_info) + + +def add_class_tvars( + t: ProperType, + isuper: Instance | None, + is_classmethod: bool, + mx: MemberContext, + original_vars: Sequence[TypeVarLikeType] | None = None, + is_trivial_self: bool = False, +) -> Type: + """Instantiate type variables during analyze_class_attribute_access, + e.g T and Q in the following: + + class A(Generic[T]): + @classmethod + def foo(cls: Type[Q]) -> Tuple[T, Q]: ... + + class B(A[str]): pass + B.foo() + + Args: + t: Declared type of the method (or property) + isuper: Current instance mapped to the superclass where method was defined, this + is usually done by map_instance_to_supertype() + is_classmethod: True if this method is decorated with @classmethod + original_vars: Type variables of the class callable on which the method was accessed + is_trivial_self: if True, we can use fast path for bind_self(). + Returns: + Expanded method type with added type variables (when needed). + """ + # TODO: verify consistency between Q and T + + # We add class type variables if the class method is accessed on class object + # without applied type arguments, this matches the behavior of __init__(). + # For example (continuing the example in docstring): + # A # The type of callable is def [T] () -> A[T], _not_ def () -> A[Any] + # A[int] # The type of callable is def () -> A[int] + # and + # A.foo # The type is generic def [T] () -> Tuple[T, A[T]] + # A[int].foo # The type is non-generic def () -> Tuple[int, A[int]] + # + # This behaviour is useful for defining alternative constructors for generic classes. + # To achieve such behaviour, we add the class type variables that are still free + # (i.e. appear in the return type of the class object on which the method was accessed). + if isinstance(t, CallableType): + tvars = original_vars if original_vars is not None else [] + if not mx.preserve_type_var_ids: + t = freshen_all_functions_type_vars(t) + if is_classmethod and not t.is_bound: + if is_trivial_self: + t = bind_self_fast(t, mx.self_type) + else: + t = bind_self(t, mx.self_type, is_classmethod=True) + if isuper is not None: + t = expand_type_by_instance(t, isuper) + freeze_all_type_vars(t) + return t.copy_modified(variables=list(tvars) + list(t.variables)) + elif isinstance(t, Overloaded): + return Overloaded( + [ + cast( + CallableType, + add_class_tvars(item, isuper, is_classmethod, mx, original_vars=original_vars), + ) + for item in t.items + ] + ) + if isuper is not None: + t = expand_type_by_instance(t, isuper) + return t + + +def analyze_decorator_or_funcbase_access( + defn: Decorator | FuncBase, itype: Instance, name: str, mx: MemberContext +) -> Type: + """Analyzes the type behind method access. + + The function itself can possibly be decorated. + See: https://github.com/python/mypy/issues/10409 + """ + if isinstance(defn, Decorator): + return analyze_var(name, defn.var, itype, mx) + typ = function_type(defn, mx.chk.named_type("builtins.function")) + if isinstance(defn, (FuncDef, OverloadedFuncDef)) and defn.is_trivial_self: + return bind_self_fast(typ, mx.self_type) + typ = check_self_arg(typ, mx.self_type, defn.is_class, mx.context, name, mx.msg) + return bind_self(typ, original_type=mx.self_type, is_classmethod=defn.is_class) + + +F = TypeVar("F", bound=FunctionLike) + + +def bind_self_fast(method: F, original_type: Type | None = None) -> F: + """Return a copy of `method`, with the type of its first parameter (usually + self or cls) bound to original_type. + + This is a faster version of mypy.typeops.bind_self() that can be used for methods + with trivial self/cls annotations. + """ + if isinstance(method, Overloaded): + items = [bind_self_fast(c, original_type) for c in method.items] + return cast(F, Overloaded(items)) + assert isinstance(method, CallableType) + if not method.arg_types: + # Invalid method, return something. + return method + if method.arg_kinds[0] in (ARG_STAR, ARG_STAR2): + # See typeops.py for details. + return method + return method.copy_modified( + arg_types=method.arg_types[1:], + arg_kinds=method.arg_kinds[1:], + arg_names=method.arg_names[1:], + is_bound=True, + ) + + +def has_operator(typ: Type, op_method: str, named_type: Callable[[str], Instance]) -> bool: + """Does type have operator with the given name? + + Note: this follows the rules for operator access, in particular: + * __getattr__ is not considered + * for class objects we only look in metaclass + * instance level attributes (i.e. extra_attrs) are not considered + """ + # This is much faster than analyze_member_access, and so using + # it first as a filter is important for performance. This is mostly relevant + # in situations where we can't expect that method is likely present, + # e.g. for __OP__ vs __rOP__. + typ = get_proper_type(typ) + + if isinstance(typ, TypeVarLikeType): + typ = typ.values_or_bound() + if isinstance(typ, AnyType): + return True + if isinstance(typ, UnionType): + return all(has_operator(x, op_method, named_type) for x in typ.relevant_items()) + if isinstance(typ, FunctionLike) and typ.is_type_obj(): + return typ.fallback.type.has_readable_member(op_method) + if isinstance(typ, TypeType): + # Type[Union[X, ...]] is always normalized to Union[Type[X], ...], + # so we don't need to care about unions here, but we need to care about + # Type[T], where upper bound of T is a union. + item = typ.item + if isinstance(item, TypeVarType): + item = item.values_or_bound() + if isinstance(item, UnionType): + return all(meta_has_operator(x, op_method, named_type) for x in item.relevant_items()) + return meta_has_operator(item, op_method, named_type) + return instance_fallback(typ, named_type).type.has_readable_member(op_method) + + +def instance_fallback(typ: ProperType, named_type: Callable[[str], Instance]) -> Instance: + if isinstance(typ, Instance): + return typ + if isinstance(typ, TupleType): + return tuple_fallback(typ) + if isinstance(typ, (LiteralType, TypedDictType)): + return typ.fallback + return named_type("builtins.object") + + +def meta_has_operator(item: Type, op_method: str, named_type: Callable[[str], Instance]) -> bool: + item = get_proper_type(item) + if isinstance(item, AnyType): + return True + item = instance_fallback(item, named_type) + meta = item.type.metaclass_type or named_type("builtins.type") + return meta.type.has_readable_member(op_method) + + +def defined_in_superclass(info: TypeInfo, name: str) -> bool: + """Check if a variable has an explicit value at class level in any of superclasses.""" + for base in info.mro[1:]: + if (node := base.names.get(name)) is not None: + if not node.implicit and isinstance(node.node, Var) and node.node.has_explicit_value: + return True + return False diff --git a/micromamba_root/Lib/site-packages/mypy/checkpattern.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checkpattern.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..25300d1f0339ba665ce66f5e68e221e022ae5828 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checkpattern.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checkpattern.py b/micromamba_root/Lib/site-packages/mypy/checkpattern.py new file mode 100644 index 0000000000000000000000000000000000000000..53fa75fa5ec389ace64b01e419ea38e1a5ad4b23 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checkpattern.py @@ -0,0 +1,885 @@ +"""Pattern checker. This file is conceptually part of TypeChecker.""" + +from __future__ import annotations + +from collections import defaultdict +from typing import Final, NamedTuple + +from mypy import message_registry +from mypy.checker_shared import TypeCheckerSharedApi, TypeRange +from mypy.checkmember import analyze_member_access +from mypy.expandtype import expand_type_by_instance +from mypy.join import join_types +from mypy.literals import literal_hash +from mypy.maptype import map_instance_to_supertype +from mypy.meet import narrow_declared_type +from mypy.messages import MessageBuilder +from mypy.nodes import ARG_POS, Expression, NameExpr, TempNode, TypeAlias, Var +from mypy.options import Options +from mypy.patterns import ( + AsPattern, + ClassPattern, + MappingPattern, + OrPattern, + Pattern, + SequencePattern, + SingletonPattern, + StarredPattern, + ValuePattern, +) +from mypy.plugin import Plugin +from mypy.subtypes import is_subtype +from mypy.typeops import ( + coerce_to_literal, + make_simplified_union, + try_getting_str_literals_from_type, + tuple_fallback, +) +from mypy.types import ( + AnyType, + FunctionLike, + Instance, + NoneType, + ProperType, + TupleType, + Type, + TypedDictType, + TypeOfAny, + TypeType, + TypeVarTupleType, + TypeVarType, + UninhabitedType, + UnionType, + UnpackType, + callable_with_ellipsis, + find_unpack_in_list, + get_proper_type, + split_with_prefix_and_suffix, +) +from mypy.typevars import fill_typevars, fill_typevars_with_any +from mypy.visitor import PatternVisitor + +self_match_type_names: Final = [ + "builtins.bool", + "builtins.bytearray", + "builtins.bytes", + "builtins.dict", + "builtins.float", + "builtins.frozenset", + "builtins.int", + "builtins.list", + "builtins.set", + "builtins.str", + "builtins.tuple", +] + +non_sequence_match_type_names: Final = ["builtins.str", "builtins.bytes", "builtins.bytearray"] + + +# For every Pattern a PatternType can be calculated. This requires recursively calculating +# the PatternTypes of the sub-patterns first. +# Using the data in the PatternType the match subject and captured names can be narrowed/inferred. +class PatternType(NamedTuple): + type: Type # The type the match subject can be narrowed to + rest_type: Type # The remaining type if the pattern didn't match + captures: dict[Expression, Type] # The variables captured by the pattern + + +class PatternChecker(PatternVisitor[PatternType]): + """Pattern checker. + + This class checks if a pattern can match a type, what the type can be narrowed to, and what + type capture patterns should be inferred as. + """ + + # Some services are provided by a TypeChecker instance. + chk: TypeCheckerSharedApi + # This is shared with TypeChecker, but stored also here for convenience. + msg: MessageBuilder + # Currently unused + plugin: Plugin + # The expression being matched against the pattern + subject: Expression + + subject_type: Type + # Type of the subject to check the (sub)pattern against + type_context: list[Type] + # Types that match against self instead of their __match_args__ if used as a class pattern + # Filled in from self_match_type_names + self_match_types: list[Type] + # Types that are sequences, but don't match sequence patterns. Filled in from + # non_sequence_match_type_names + non_sequence_match_types: list[Type] + + options: Options + + def __init__( + self, chk: TypeCheckerSharedApi, msg: MessageBuilder, plugin: Plugin, options: Options + ) -> None: + self.chk = chk + self.msg = msg + self.plugin = plugin + + self.type_context = [] + self.self_match_types = self.generate_types_from_names(self_match_type_names) + self.non_sequence_match_types = self.generate_types_from_names( + non_sequence_match_type_names + ) + self.options = options + + def accept(self, o: Pattern, type_context: Type) -> PatternType: + self.type_context.append(type_context) + result = o.accept(self) + self.type_context.pop() + + return result + + def visit_as_pattern(self, o: AsPattern) -> PatternType: + current_type = self.type_context[-1] + if o.pattern is not None: + pattern_type = self.accept(o.pattern, current_type) + typ, rest_type, type_map = pattern_type + else: + typ, rest_type, type_map = current_type, UninhabitedType(), {} + + if not is_uninhabited(typ) and o.name is not None: + typ, _ = self.chk.conditional_types_with_intersection( + current_type, [get_type_range(typ)], o, default=current_type + ) + if not is_uninhabited(typ): + type_map[o.name] = typ + + return PatternType(typ, rest_type, type_map) + + def visit_or_pattern(self, o: OrPattern) -> PatternType: + current_type = self.type_context[-1] + + # + # Check all the subpatterns + # + pattern_types = [] + for pattern in o.patterns: + pattern_type = self.accept(pattern, current_type) + pattern_types.append(pattern_type) + if not is_uninhabited(pattern_type.type): + current_type = pattern_type.rest_type + + # + # Collect the final type + # + types = [] + for pattern_type in pattern_types: + if not is_uninhabited(pattern_type.type): + types.append(pattern_type.type) + + # + # Check the capture types + # + capture_types: dict[Var, list[tuple[Expression, Type]]] = defaultdict(list) + # Collect captures from the first subpattern + for expr, typ in pattern_types[0].captures.items(): + node = get_var(expr) + capture_types[node].append((expr, typ)) + + # Check if other subpatterns capture the same names + for i, pattern_type in enumerate(pattern_types[1:]): + vars = {get_var(expr) for expr, _ in pattern_type.captures.items()} + if capture_types.keys() != vars: + self.msg.fail(message_registry.OR_PATTERN_ALTERNATIVE_NAMES, o.patterns[i]) + for expr, typ in pattern_type.captures.items(): + node = get_var(expr) + capture_types[node].append((expr, typ)) + + captures: dict[Expression, Type] = {} + for capture_list in capture_types.values(): + typ = UninhabitedType() + for _, other in capture_list: + typ = make_simplified_union([typ, other]) + + captures[capture_list[0][0]] = typ + + union_type = make_simplified_union(types) + return PatternType(union_type, current_type, captures) + + def visit_value_pattern(self, o: ValuePattern) -> PatternType: + current_type = self.type_context[-1] + typ = self.chk.expr_checker.accept(o.expr) + typ = coerce_to_literal(typ) + node = TempNode(current_type) + # Value patterns are essentially a syntactic sugar on top of `if x == Value`. + # They should be treated equivalently. + ok_map, rest_map = self.chk.narrow_type_by_identity_equality( + "==", [node, TempNode(typ)], [current_type, typ], [0, 1], {0} + ) + ok_type = ok_map.get(node, current_type) if ok_map is not None else UninhabitedType() + rest_type = rest_map.get(node, current_type) if rest_map is not None else UninhabitedType() + return PatternType(ok_type, rest_type, {}) + + def visit_singleton_pattern(self, o: SingletonPattern) -> PatternType: + current_type = self.type_context[-1] + value: bool | None = o.value + if isinstance(value, bool): + typ = self.chk.expr_checker.infer_literal_expr_type(value, "builtins.bool") + elif value is None: + typ = NoneType() + else: + assert False + + narrowed_type, rest_type = self.chk.conditional_types_with_intersection( + current_type, [get_type_range(typ)], o, default=current_type + ) + return PatternType(narrowed_type, rest_type, {}) + + def visit_sequence_pattern(self, o: SequencePattern) -> PatternType: + # + # Step 1. Check for existence of a starred pattern + # + current_type = get_proper_type(self.type_context[-1]) + if not self.can_match_sequence(current_type): + return self.early_non_match() + + star_positions = [i for i, p in enumerate(o.patterns) if isinstance(p, StarredPattern)] + star_position: int | None = None + if len(star_positions) == 1: + star_position = star_positions[0] + elif len(star_positions) >= 2: + assert False, "Parser should prevent multiple starred patterns" + required_patterns = len(o.patterns) + if star_position is not None: + required_patterns -= 1 + + # + # Step 2. If we have a union, recurse and return the combined result + # + if isinstance(current_type, UnionType): + match_types: list[Type] = [] + rest_types: list[Type] = [] + captures_list: dict[Expression, list[Type]] = {} + + if star_position is not None: + star_pattern = o.patterns[star_position] + assert isinstance(star_pattern, StarredPattern) + star_expr = star_pattern.capture + else: + star_expr = None + + for t in current_type.items: + match_type, rest_type, captures = self.accept(o, t) + match_types.append(match_type) + rest_types.append(rest_type) + if not is_uninhabited(match_type): + for expr, typ in captures.items(): + p_typ = get_proper_type(typ) + if expr not in captures_list: + captures_list[expr] = [] + # Avoid adding in a list[Never] for empty list captures + if ( + expr == star_expr + and isinstance(p_typ, Instance) + and p_typ.type.fullname == "builtins.list" + and is_uninhabited(p_typ.args[0]) + ): + continue + captures_list[expr].append(typ) + + return PatternType( + make_simplified_union(match_types), + make_simplified_union(rest_types), + {expr: make_simplified_union(types) for expr, types in captures_list.items()}, + ) + + # + # Step 3. Get inner types of original type + # + unpack_index = None + if isinstance(current_type, TupleType): + inner_types: list[Type] = current_type.items + unpack_index = find_unpack_in_list(inner_types) + if unpack_index is None: + size_diff = len(inner_types) - required_patterns + if size_diff < 0: + return self.early_non_match() + elif size_diff > 0 and star_position is None: + return self.early_non_match() + else: + normalized_inner_types = [] + for it in inner_types: + # Unfortunately, it is not possible to "split" the TypeVarTuple + # into individual items, so we just use its upper bound for the whole + # analysis instead. + if isinstance(it, UnpackType) and isinstance(it.type, TypeVarTupleType): + it = UnpackType(it.type.upper_bound) + normalized_inner_types.append(it) + inner_types = normalized_inner_types + current_type = current_type.copy_modified(items=normalized_inner_types) + if len(inner_types) - 1 > required_patterns and star_position is None: + return self.early_non_match() + elif isinstance(current_type, AnyType): + inner_type = AnyType(TypeOfAny.from_another_any, current_type) + inner_types = [inner_type] * len(o.patterns) + elif isinstance(current_type, Instance) and self.chk.type_is_iterable(current_type): + inner_type = self.chk.iterable_item_type(current_type, o) + inner_types = [inner_type] * len(o.patterns) + else: + inner_type = self.chk.named_type("builtins.object") + inner_types = [inner_type] * len(o.patterns) + + # + # Step 4. Match inner patterns + # + contracted_new_inner_types: list[Type] = [] + contracted_rest_inner_types: list[Type] = [] + captures = {} # dict[Expression, Type] + + contracted_inner_types = self.contract_starred_pattern_types( + inner_types, star_position, required_patterns + ) + for p, t in zip(o.patterns, contracted_inner_types): + pattern_type = self.accept(p, t) + typ, rest, type_map = pattern_type + contracted_new_inner_types.append(typ) + contracted_rest_inner_types.append(rest) + self.update_type_map(captures, type_map) + + new_inner_types = self.expand_starred_pattern_types( + contracted_new_inner_types, star_position, len(inner_types), unpack_index is not None + ) + rest_inner_types = self.expand_starred_pattern_types( + contracted_rest_inner_types, star_position, len(inner_types), unpack_index is not None + ) + + # + # Step 5. Calculate new type + # + new_type: Type + rest_type = current_type + if isinstance(current_type, TupleType) and unpack_index is None: + if any(is_uninhabited(typ) for typ in new_inner_types): + new_type = UninhabitedType() + else: + new_type = TupleType(new_inner_types, current_type.partial_fallback) + + num_always_match = sum(is_uninhabited(typ) for typ in rest_inner_types) + if num_always_match == len(rest_inner_types): + # All subpatterns always match, so we can apply negative narrowing + rest_type = UninhabitedType() + elif num_always_match == len(rest_inner_types) - 1: + # Exactly one subpattern may conditionally match, the rest always match. + # We can apply negative narrowing to this one position. + rest_type = TupleType( + [ + curr if is_uninhabited(rest) else rest + for curr, rest in zip(inner_types, rest_inner_types) + ], + current_type.partial_fallback, + ) + elif isinstance(current_type, TupleType): + # For variadic tuples it is too tricky to match individual items like for fixed + # tuples, so we instead try to narrow the entire type. + # TODO: use more precise narrowing when possible (e.g. for identical shapes). + new_tuple_type = TupleType(new_inner_types, current_type.partial_fallback) + new_type, _ = self.chk.conditional_types_with_intersection( + new_tuple_type, [get_type_range(current_type)], o, default=new_tuple_type + ) + if ( + star_position is not None + and required_patterns <= len(inner_types) - 1 + and all(is_uninhabited(rest) for rest in rest_inner_types) + ): + rest_type = UninhabitedType() + else: + new_inner_type = UninhabitedType() + for typ in new_inner_types: + new_inner_type = join_types(new_inner_type, typ) + new_type = self.construct_sequence_child(current_type, new_inner_type) + new_type, possible_rest_type = self.chk.conditional_types_with_intersection( + current_type, [get_type_range(new_type)], o, default=current_type + ) + if star_position is not None and len(o.patterns) == 1: + # Match cannot be refuted, so narrow the remaining type + rest_type = possible_rest_type + + return PatternType(new_type, rest_type, captures) + + def contract_starred_pattern_types( + self, types: list[Type], star_pos: int | None, num_patterns: int + ) -> list[Type]: + """ + Contracts a list of types in a sequence pattern depending on the position of a starred + capture pattern. + + For example if the sequence pattern [a, *b, c] is matched against types [bool, int, str, + bytes] the contracted types are [bool, Union[int, str], bytes]. + + If star_pos in None the types are returned unchanged. + """ + unpack_index = find_unpack_in_list(types) + if unpack_index is not None: + # Variadic tuples require "re-shaping" to match the requested pattern. + unpack = types[unpack_index] + assert isinstance(unpack, UnpackType) + unpacked = get_proper_type(unpack.type) + # This should be guaranteed by the normalization in the caller. + assert isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" + if star_pos is None: + missing = num_patterns - len(types) + 1 + new_types = types[:unpack_index] + new_types += [unpacked.args[0]] * missing + new_types += types[unpack_index + 1 :] + return new_types + prefix, middle, suffix = split_with_prefix_and_suffix( + tuple([UnpackType(unpacked) if isinstance(t, UnpackType) else t for t in types]), + star_pos, + num_patterns - star_pos, + ) + new_middle = [] + for m in middle: + # The existing code expects the star item type, rather than the type of + # the whole tuple "slice". + if isinstance(m, UnpackType): + new_middle.append(unpacked.args[0]) + else: + new_middle.append(m) + return list(prefix) + [make_simplified_union(new_middle)] + list(suffix) + else: + if star_pos is None: + return types + new_types = types[:star_pos] + star_length = len(types) - num_patterns + new_types.append(make_simplified_union(types[star_pos : star_pos + star_length])) + new_types += types[star_pos + star_length :] + return new_types + + def expand_starred_pattern_types( + self, types: list[Type], star_pos: int | None, num_types: int, original_unpack: bool + ) -> list[Type]: + """Undoes the contraction done by contract_starred_pattern_types. + + For example if the sequence pattern is [a, *b, c] and types [bool, int, str] are extended + to length 4 the result is [bool, int, int, str]. + """ + if star_pos is None: + return types + if original_unpack: + # In the case where original tuple type has an unpack item, it is not practical + # to coerce pattern type back to the original shape (and may not even be possible), + # so we only restore the type of the star item. + res = [] + for i, t in enumerate(types): + if i != star_pos or is_uninhabited(t): + res.append(t) + else: + res.append(UnpackType(self.chk.named_generic_type("builtins.tuple", [t]))) + return res + new_types = types[:star_pos] + star_length = num_types - len(types) + 1 + new_types += [types[star_pos]] * star_length + new_types += types[star_pos + 1 :] + + return new_types + + def visit_starred_pattern(self, o: StarredPattern) -> PatternType: + captures: dict[Expression, Type] = {} + if o.capture is not None: + list_type = self.chk.named_generic_type("builtins.list", [self.type_context[-1]]) + captures[o.capture] = list_type + return PatternType(self.type_context[-1], UninhabitedType(), captures) + + def visit_mapping_pattern(self, o: MappingPattern) -> PatternType: + current_type = get_proper_type(self.type_context[-1]) + can_match = True + captures: dict[Expression, Type] = {} + for key, value in zip(o.keys, o.values): + inner_type = self.get_mapping_item_type(o, current_type, key) + if inner_type is None: + can_match = False + inner_type = self.chk.named_type("builtins.object") + pattern_type = self.accept(value, inner_type) + if is_uninhabited(pattern_type.type): + can_match = False + else: + self.update_type_map(captures, pattern_type.captures) + + if o.rest is not None: + mapping = self.chk.named_type("typing.Mapping") + if is_subtype(current_type, mapping) and isinstance(current_type, Instance): + mapping_inst = map_instance_to_supertype(current_type, mapping.type) + dict_typeinfo = self.chk.lookup_typeinfo("builtins.dict") + rest_type = Instance(dict_typeinfo, mapping_inst.args) + else: + object_type = self.chk.named_type("builtins.object") + rest_type = self.chk.named_generic_type( + "builtins.dict", [object_type, object_type] + ) + + captures[o.rest] = rest_type + + else_type = current_type + if can_match: + # We can't narrow the type here, as Mapping key is invariant. + new_type = self.type_context[-1] + if not o.keys: + # Match cannot be refuted, so narrow the remaining type + mapping = self.chk.named_type("typing.Mapping") + if_type, else_type = self.chk.conditional_types_with_intersection( + current_type, + [TypeRange(mapping, is_upper_bound=False)], + o, + default=current_type, + ) + if not isinstance(current_type, AnyType): + new_type = if_type + else: + new_type = UninhabitedType() + return PatternType(new_type, else_type, captures) + + def get_mapping_item_type( + self, pattern: MappingPattern, mapping_type: Type, key: Expression + ) -> Type | None: + mapping_type = get_proper_type(mapping_type) + if isinstance(mapping_type, TypedDictType): + with self.msg.filter_errors() as local_errors: + result: Type | None = self.chk.expr_checker.visit_typeddict_index_expr( + mapping_type, key + )[0] + has_local_errors = local_errors.has_new_errors() + # If we can't determine the type statically fall back to treating it as a normal + # mapping + if has_local_errors: + with self.msg.filter_errors() as local_errors: + result = self.get_simple_mapping_item_type(pattern, mapping_type, key) + + if local_errors.has_new_errors(): + result = None + else: + with self.msg.filter_errors(): + result = self.get_simple_mapping_item_type(pattern, mapping_type, key) + return result + + def get_simple_mapping_item_type( + self, pattern: MappingPattern, mapping_type: Type, key: Expression + ) -> Type: + result, _ = self.chk.expr_checker.check_method_call_by_name( + "__getitem__", mapping_type, [key], [ARG_POS], pattern + ) + return result + + def visit_class_pattern(self, o: ClassPattern) -> PatternType: + current_type = get_proper_type(self.type_context[-1]) + + # + # Check class type + # + type_info = o.class_ref.node + if isinstance(type_info, TypeAlias) and not type_info.no_args: + self.msg.fail(message_registry.CLASS_PATTERN_GENERIC_TYPE_ALIAS, o) + return self.early_non_match() + + typ = self.chk.expr_checker.accept(o.class_ref) + type_ranges = self.get_class_pattern_type_ranges(typ, o) + if type_ranges is None: + return self.early_non_match() + typ = UnionType.make_union([t.item for t in type_ranges]) + + new_type, rest_type = self.chk.conditional_types_with_intersection( + current_type, type_ranges, o, default=current_type + ) + if is_uninhabited(new_type): + return self.early_non_match() + # TODO: Do I need this? + narrowed_type = narrow_declared_type(current_type, new_type) + + # + # Convert positional to keyword patterns + # + keyword_pairs: list[tuple[str | None, Pattern]] = [] + match_arg_set: set[str] = set() + + captures: dict[Expression, Type] = {} + + if len(o.positionals) != 0: + if self.should_self_match(typ): + if len(o.positionals) > 1: + self.msg.fail(message_registry.CLASS_PATTERN_TOO_MANY_POSITIONAL_ARGS, o) + pattern_type = self.accept(o.positionals[0], narrowed_type) + if not is_uninhabited(pattern_type.type): + return PatternType( + pattern_type.type, + join_types(rest_type, pattern_type.rest_type), + pattern_type.captures, + ) + captures = pattern_type.captures + else: + with self.msg.filter_errors() as local_errors: + match_args_type = analyze_member_access( + "__match_args__", + typ, + o, + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=typ, + chk=self.chk, + ) + has_local_errors = local_errors.has_new_errors() + if has_local_errors: + self.msg.fail( + message_registry.MISSING_MATCH_ARGS.format( + typ.str_with_options(self.options) + ), + o, + ) + return self.early_non_match() + + proper_match_args_type = get_proper_type(match_args_type) + if isinstance(proper_match_args_type, TupleType): + match_arg_names = get_match_arg_names(proper_match_args_type) + + if len(o.positionals) > len(match_arg_names): + self.msg.fail(message_registry.CLASS_PATTERN_TOO_MANY_POSITIONAL_ARGS, o) + return self.early_non_match() + else: + match_arg_names = [None] * len(o.positionals) + + for arg_name, pos in zip(match_arg_names, o.positionals): + keyword_pairs.append((arg_name, pos)) + if arg_name is not None: + match_arg_set.add(arg_name) + + # + # Check for duplicate patterns + # + keyword_arg_set = set() + has_duplicates = False + for key, value in zip(o.keyword_keys, o.keyword_values): + keyword_pairs.append((key, value)) + if key in match_arg_set: + self.msg.fail( + message_registry.CLASS_PATTERN_KEYWORD_MATCHES_POSITIONAL.format(key), value + ) + has_duplicates = True + elif key in keyword_arg_set: + self.msg.fail( + message_registry.CLASS_PATTERN_DUPLICATE_KEYWORD_PATTERN.format(key), value + ) + has_duplicates = True + keyword_arg_set.add(key) + + if has_duplicates: + return self.early_non_match() + + # + # Check keyword patterns + # + can_match = True + for keyword, pattern in keyword_pairs: + key_type: Type | None = None + with self.msg.filter_errors() as local_errors: + if keyword is not None: + key_type = analyze_member_access( + keyword, + narrowed_type, + pattern, + is_lvalue=False, + is_super=False, + is_operator=False, + original_type=new_type, + chk=self.chk, + ) + else: + key_type = AnyType(TypeOfAny.from_error) + has_local_errors = local_errors.has_new_errors() + if has_local_errors or key_type is None: + key_type = AnyType(TypeOfAny.from_error) + if not (type_info and type_info.fullname == "builtins.object"): + self.msg.fail( + message_registry.CLASS_PATTERN_UNKNOWN_KEYWORD.format( + typ.str_with_options(self.options), keyword + ), + pattern, + ) + elif keyword is not None: + new_type = self.chk.add_any_attribute_to_type(new_type, keyword) + + inner_type, inner_rest_type, inner_captures = self.accept(pattern, key_type) + if is_uninhabited(inner_type): + can_match = False + else: + self.update_type_map(captures, inner_captures) + if not is_uninhabited(inner_rest_type): + rest_type = current_type + + if not can_match: + new_type = UninhabitedType() + return PatternType(new_type, rest_type, captures) + + def get_class_pattern_type_ranges(self, typ: Type, o: ClassPattern) -> list[TypeRange] | None: + p_typ = get_proper_type(typ) + + if isinstance(p_typ, UnionType): + type_ranges = [] + for item in p_typ.items: + type_range = self.get_class_pattern_type_ranges(item, o) + if type_range is not None: + type_ranges.extend(type_range) + if not type_ranges: + return None + return type_ranges + + if isinstance(p_typ, FunctionLike) and p_typ.is_type_obj(): + typ = fill_typevars_with_any(p_typ.type_object()) + return [TypeRange(typ, is_upper_bound=False)] + if ( + isinstance(o.class_ref.node, Var) + and o.class_ref.node.type is not None + and o.class_ref.node.fullname == "typing.Callable" + ): + # Create a `Callable[..., Any]` + fallback = self.chk.named_type("builtins.function") + any_type = AnyType(TypeOfAny.unannotated) + typ = callable_with_ellipsis(any_type, ret_type=any_type, fallback=fallback) + return [TypeRange(typ, is_upper_bound=False)] + if isinstance(p_typ, TypeType): + typ = p_typ.item + return [TypeRange(p_typ.item, is_upper_bound=True)] + if isinstance(p_typ, AnyType): + return [TypeRange(p_typ, is_upper_bound=False)] + + self.msg.fail( + message_registry.CLASS_PATTERN_TYPE_REQUIRED.format( + typ.str_with_options(self.options) + ), + o, + ) + return None + + def should_self_match(self, typ: Type) -> bool: + typ = get_proper_type(typ) + if isinstance(typ, TupleType): + typ = typ.partial_fallback + if isinstance(typ, AnyType): + return False + if isinstance(typ, Instance) and typ.type.get("__match_args__") is not None: + # Named tuples and other subtypes of builtins that define __match_args__ + # should not self match. + return False + for other in self.self_match_types: + if is_subtype(typ, other): + return True + return False + + def can_match_sequence(self, typ: ProperType) -> bool: + if isinstance(typ, AnyType): + return True + if isinstance(typ, UnionType): + return any(self.can_match_sequence(get_proper_type(item)) for item in typ.items) + for other in self.non_sequence_match_types: + # We have to ignore promotions, as memoryview should match, but bytes, + # which it can be promoted to, shouldn't + if is_subtype(typ, other, ignore_promotions=True): + return False + sequence = self.chk.named_type("typing.Sequence") + # If the static type is more general than sequence the actual type could still match + return is_subtype(typ, sequence) or is_subtype(sequence, typ) + + def generate_types_from_names(self, type_names: list[str]) -> list[Type]: + types: list[Type] = [] + for name in type_names: + try: + types.append(self.chk.named_type(name)) + except KeyError as e: + # Some built in types are not defined in all test cases + if not name.startswith("builtins."): + raise e + return types + + def update_type_map( + self, original_type_map: dict[Expression, Type], extra_type_map: dict[Expression, Type] + ) -> None: + # Calculating this would not be needed if TypeMap directly used literal hashes instead of + # expressions, as suggested in the TODO above it's definition + already_captured = {literal_hash(expr) for expr in original_type_map} + for expr, typ in extra_type_map.items(): + if literal_hash(expr) in already_captured: + node = get_var(expr) + self.msg.fail( + message_registry.MULTIPLE_ASSIGNMENTS_IN_PATTERN.format(node.name), expr + ) + else: + original_type_map[expr] = typ + + def construct_sequence_child(self, outer_type: Type, inner_type: Type) -> Type: + """ + If outer_type is a child class of typing.Sequence returns a new instance of + outer_type, that is a Sequence of inner_type. If outer_type is not a child class of + typing.Sequence just returns a Sequence of inner_type + + For example: + construct_sequence_child(List[int], str) = List[str] + + TODO: this doesn't make sense. For example if one has class S(Sequence[int], Generic[T]) + or class T(Sequence[Tuple[T, T]]), there is no way any of those can map to Sequence[str]. + """ + proper_type = get_proper_type(outer_type) + if isinstance(proper_type, TypeVarType): + new_bound = self.construct_sequence_child(proper_type.upper_bound, inner_type) + return proper_type.copy_modified(upper_bound=new_bound) + if isinstance(proper_type, AnyType): + return outer_type + if isinstance(proper_type, UnionType): + types = [ + self.construct_sequence_child(item, inner_type) + for item in proper_type.items + if self.can_match_sequence(get_proper_type(item)) + ] + return make_simplified_union(types) + sequence = self.chk.named_generic_type("typing.Sequence", [inner_type]) + if is_subtype(outer_type, self.chk.named_type("typing.Sequence")): + if isinstance(proper_type, TupleType): + proper_type = tuple_fallback(proper_type) + assert isinstance(proper_type, Instance) + empty_type = fill_typevars(proper_type.type) + partial_type = expand_type_by_instance(empty_type, sequence) + return expand_type_by_instance(partial_type, proper_type) + else: + return sequence + + def early_non_match(self) -> PatternType: + return PatternType(UninhabitedType(), self.type_context[-1], {}) + + +def get_match_arg_names(typ: TupleType) -> list[str | None]: + args: list[str | None] = [] + for item in typ.items: + values = try_getting_str_literals_from_type(item) + if values is None or len(values) != 1: + args.append(None) + else: + args.append(values[0]) + return args + + +def get_var(expr: Expression) -> Var: + """ + Warning: this in only true for expressions captured by a match statement. + Don't call it from anywhere else + """ + assert isinstance(expr, NameExpr), expr + node = expr.node + assert isinstance(node, Var), node + return node + + +def get_type_range(typ: Type) -> TypeRange: + typ = get_proper_type(typ) + if ( + isinstance(typ, Instance) + and typ.last_known_value + and isinstance(typ.last_known_value.value, bool) + ): + typ = typ.last_known_value + return TypeRange(typ, is_upper_bound=False) + + +def is_uninhabited(typ: Type) -> bool: + return isinstance(get_proper_type(typ), UninhabitedType) diff --git a/micromamba_root/Lib/site-packages/mypy/checkstrformat.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/checkstrformat.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..f03fa6441c533d873b594028d1a2c6c11e9d77bf Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/checkstrformat.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/checkstrformat.py b/micromamba_root/Lib/site-packages/mypy/checkstrformat.py new file mode 100644 index 0000000000000000000000000000000000000000..55605274aa1f13fc8890353fd237bd3d3f324b2b --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/checkstrformat.py @@ -0,0 +1,1099 @@ +""" +Format expression type checker. + +This file is conceptually part of ExpressionChecker and TypeChecker. Main functionality +is located in StringFormatterChecker.check_str_format_call() for '{}'.format(), and in +StringFormatterChecker.check_str_interpolation() for printf-style % interpolation. + +Note that although at runtime format strings are parsed using custom parsers, +here we use a regexp-based approach. This way we 99% match runtime behaviour while keeping +implementation simple. +""" + +from __future__ import annotations + +import re +from collections.abc import Callable +from re import Match, Pattern +from typing import Final, TypeAlias as _TypeAlias, cast + +import mypy.errorcodes as codes +from mypy import message_registry +from mypy.checker_shared import TypeCheckerSharedApi +from mypy.errors import Errors +from mypy.maptype import map_instance_to_supertype +from mypy.messages import MessageBuilder +from mypy.nodes import ( + ARG_NAMED, + ARG_POS, + ARG_STAR, + ARG_STAR2, + BytesExpr, + CallExpr, + Context, + DictExpr, + Expression, + ExpressionStmt, + IndexExpr, + IntExpr, + MemberExpr, + MypyFile, + NameExpr, + Node, + StarExpr, + StrExpr, + TempNode, + TupleExpr, +) +from mypy.parse import parse +from mypy.subtypes import is_subtype +from mypy.typeops import custom_special_method +from mypy.types import ( + AnyType, + Instance, + LiteralType, + TupleType, + Type, + TypeOfAny, + TypeVarTupleType, + TypeVarType, + UnionType, + UnpackType, + find_unpack_in_list, + get_proper_type, + get_proper_types, +) + +FormatStringExpr: _TypeAlias = StrExpr | BytesExpr +Checkers: _TypeAlias = tuple[Callable[[Expression], None], Callable[[Type], bool]] +MatchMap: _TypeAlias = dict[tuple[int, int], Match[str]] # span -> match + + +def compile_format_re() -> Pattern[str]: + """Construct regexp to match format conversion specifiers in % interpolation. + + See https://docs.python.org/3/library/stdtypes.html#printf-style-string-formatting + The regexp is intentionally a bit wider to report better errors. + """ + key_re = r"(\((?P[^)]*)\))?" # (optional) parenthesised sequence of characters. + flags_re = r"(?P[#0\-+ ]*)" # (optional) sequence of flags. + width_re = r"(?P[1-9][0-9]*|\*)?" # (optional) minimum field width (* or numbers). + precision_re = r"(?:\.(?P\*|[0-9]+)?)?" # (optional) . followed by * of numbers. + length_mod_re = r"[hlL]?" # (optional) length modifier (unused). + type_re = r"(?P.)?" # conversion type. + format_re = "%" + key_re + flags_re + width_re + precision_re + length_mod_re + type_re + return re.compile(format_re) + + +def compile_new_format_re(custom_spec: bool) -> Pattern[str]: + """Construct regexps to match format conversion specifiers in str.format() calls. + + See After https://docs.python.org/3/library/string.html#formatspec for + specifications. The regexps are intentionally wider, to report better errors, + instead of just not matching. + """ + + # Field (optional) is an integer/identifier possibly followed by several .attr and [index]. + field = r"(?P(?P[^.[!:]*)([^:!]+)?)" + + # Conversion (optional) is ! followed by one of letters for forced repr(), str(), or ascii(). + conversion = r"(?P![^:])?" + + # Format specification (optional) follows its own mini-language: + if not custom_spec: + # Fill and align is valid for all builtin types. + fill_align = r"(?P.?[<>=^])?" + # Number formatting options are only valid for int, float, complex, and Decimal, + # except if only width is given (it is valid for all types). + # This contains sign, flags (sign, # and/or 0), width, grouping (_ or ,) and precision. + num_spec = r"(?P[+\- ]?#?0?)(?P\d+)?[_,]?(?P\.\d+)?" + # The last element is type. + conv_type = r"(?P.)?" # only some are supported, but we want to give a better error + format_spec = r"(?P:" + fill_align + num_spec + conv_type + r")?" + else: + # Custom types can define their own form_spec using __format__(). + format_spec = r"(?P:.*)?" + + return re.compile(field + conversion + format_spec) + + +FORMAT_RE: Final = compile_format_re() +FORMAT_RE_NEW: Final = compile_new_format_re(False) +FORMAT_RE_NEW_CUSTOM: Final = compile_new_format_re(True) +DUMMY_FIELD_NAME: Final = "__dummy_name__" + +# Types that require either int or float. +NUMERIC_TYPES_OLD: Final = {"d", "i", "o", "u", "x", "X", "e", "E", "f", "F", "g", "G"} +NUMERIC_TYPES_NEW: Final = {"b", "d", "o", "e", "E", "f", "F", "g", "G", "n", "x", "X", "%"} + +# These types accept _only_ int. +REQUIRE_INT_OLD: Final = {"o", "x", "X"} +REQUIRE_INT_NEW: Final = {"b", "d", "o", "x", "X"} + +# These types fall back to SupportsFloat with % (other fall back to SupportsInt) +FLOAT_TYPES: Final = {"e", "E", "f", "F", "g", "G"} + + +class ConversionSpecifier: + def __init__( + self, match: Match[str], start_pos: int = -1, non_standard_format_spec: bool = False + ) -> None: + self.whole_seq = match.group() + self.start_pos = start_pos + + m_dict = match.groupdict() + self.key = m_dict.get("key") + + # Replace unmatched optional groups with empty matches (for convenience). + self.conv_type = m_dict.get("type") or "" + self.flags = m_dict.get("flags") or "" + self.width = m_dict.get("width") or "" + self.precision = m_dict.get("precision") or "" + + # Used only for str.format() calls (it may be custom for types with __format__()). + self.format_spec = m_dict.get("format_spec") + self.non_standard_format_spec = non_standard_format_spec + # Used only for str.format() calls. + self.conversion = m_dict.get("conversion") + # Full formatted expression (i.e. key plus following attributes and/or indexes). + # Used only for str.format() calls. + self.field = m_dict.get("field") + + def has_key(self) -> bool: + return self.key is not None + + def has_star(self) -> bool: + return self.width == "*" or self.precision == "*" + + +def parse_conversion_specifiers(format_str: str) -> list[ConversionSpecifier]: + """Parse c-printf-style format string into list of conversion specifiers.""" + specifiers: list[ConversionSpecifier] = [] + for m in re.finditer(FORMAT_RE, format_str): + specifiers.append(ConversionSpecifier(m, start_pos=m.start())) + return specifiers + + +def parse_format_value( + format_value: str, ctx: Context, msg: MessageBuilder, nested: bool = False +) -> list[ConversionSpecifier] | None: + """Parse format string into list of conversion specifiers. + + The specifiers may be nested (two levels maximum), in this case they are ordered as + '{0:{1}}, {2:{3}{4}}'. Return None in case of an error. + """ + top_targets = find_non_escaped_targets(format_value, ctx, msg) + if top_targets is None: + return None + + result: list[ConversionSpecifier] = [] + for target, start_pos in top_targets: + match = FORMAT_RE_NEW.fullmatch(target) + if match: + conv_spec = ConversionSpecifier(match, start_pos=start_pos) + else: + custom_match = FORMAT_RE_NEW_CUSTOM.fullmatch(target) + if custom_match: + conv_spec = ConversionSpecifier( + custom_match, start_pos=start_pos, non_standard_format_spec=True + ) + else: + msg.fail( + "Invalid conversion specifier in format string", + ctx, + code=codes.STRING_FORMATTING, + ) + return None + + if conv_spec.key and ("{" in conv_spec.key or "}" in conv_spec.key): + msg.fail("Conversion value must not contain { or }", ctx, code=codes.STRING_FORMATTING) + return None + result.append(conv_spec) + + # Parse nested conversions that are allowed in format specifier. + if ( + conv_spec.format_spec + and conv_spec.non_standard_format_spec + and ("{" in conv_spec.format_spec or "}" in conv_spec.format_spec) + ): + if nested: + msg.fail( + "Formatting nesting must be at most two levels deep", + ctx, + code=codes.STRING_FORMATTING, + ) + return None + sub_conv_specs = parse_format_value(conv_spec.format_spec, ctx, msg, nested=True) + if sub_conv_specs is None: + return None + result.extend(sub_conv_specs) + return result + + +def find_non_escaped_targets( + format_value: str, ctx: Context, msg: MessageBuilder +) -> list[tuple[str, int]] | None: + """Return list of raw (un-parsed) format specifiers in format string. + + Format specifiers don't include enclosing braces. We don't use regexp for + this because they don't work well with nested/repeated patterns + (both greedy and non-greedy), and these are heavily used internally for + representation of f-strings. + + Return None in case of an error. + """ + result = [] + next_spec = "" + pos = 0 + nesting = 0 + while pos < len(format_value): + c = format_value[pos] + if not nesting: + # Skip any paired '{{' and '}}', enter nesting on '{', report error on '}'. + if c == "{": + if pos < len(format_value) - 1 and format_value[pos + 1] == "{": + pos += 1 + else: + nesting = 1 + if c == "}": + if pos < len(format_value) - 1 and format_value[pos + 1] == "}": + pos += 1 + else: + msg.fail( + "Invalid conversion specifier in format string: unexpected }", + ctx, + code=codes.STRING_FORMATTING, + ) + return None + else: + # Adjust nesting level, then either continue adding chars or move on. + if c == "{": + nesting += 1 + if c == "}": + nesting -= 1 + if nesting: + next_spec += c + else: + result.append((next_spec, pos - len(next_spec))) + next_spec = "" + pos += 1 + if nesting: + msg.fail( + "Invalid conversion specifier in format string: unmatched {", + ctx, + code=codes.STRING_FORMATTING, + ) + return None + return result + + +class StringFormatterChecker: + """String interpolation/formatter type checker. + + This class works closely together with checker.ExpressionChecker. + """ + + # Some services are provided by a TypeChecker instance. + chk: TypeCheckerSharedApi + # This is shared with TypeChecker, but stored also here for convenience. + msg: MessageBuilder + + def __init__(self, chk: TypeCheckerSharedApi, msg: MessageBuilder) -> None: + """Construct an expression type checker.""" + self.chk = chk + self.msg = msg + + def check_str_format_call(self, call: CallExpr, format_value: str) -> None: + """Perform more precise checks for str.format() calls when possible. + + Currently the checks are performed for: + * Actual string literals + * Literal types with string values + * Final names with string values + + The checks that we currently perform: + * Check generic validity (e.g. unmatched { or }, and {} in invalid positions) + * Check consistency of specifiers' auto-numbering + * Verify that replacements can be found for all conversion specifiers, + and all arguments were used + * Non-standard format specs are only allowed for types with custom __format__ + * Type check replacements with accessors applied (if any). + * Verify that specifier type is known and matches replacement type + * Perform special checks for some specifier types: + - 'c' requires a single character string + - 's' must not accept bytes + - non-empty flags are only allowed for numeric types + """ + conv_specs = parse_format_value(format_value, call, self.msg) + if conv_specs is None: + return + if not self.auto_generate_keys(conv_specs, call): + return + self.check_specs_in_format_call(call, conv_specs, format_value) + + def check_specs_in_format_call( + self, call: CallExpr, specs: list[ConversionSpecifier], format_value: str + ) -> None: + """Perform pairwise checks for conversion specifiers vs their replacements. + + The core logic for format checking is implemented in this method. + """ + assert all(s.key for s in specs), "Keys must be auto-generated first!" + replacements = self.find_replacements_in_call(call, [cast(str, s.key) for s in specs]) + assert len(replacements) == len(specs) + for spec, repl in zip(specs, replacements): + repl = self.apply_field_accessors(spec, repl, ctx=call) + actual_type = repl.type if isinstance(repl, TempNode) else self.chk.lookup_type(repl) + assert actual_type is not None + + # Special case custom formatting. + if ( + spec.format_spec + and spec.non_standard_format_spec + and + # Exclude "dynamic" specifiers (i.e. containing nested formatting). + not ("{" in spec.format_spec or "}" in spec.format_spec) + ): + if ( + not custom_special_method(actual_type, "__format__", check_all=True) + or spec.conversion + ): + # TODO: add support for some custom specs like datetime? + self.msg.fail( + f'Unrecognized format specification "{spec.format_spec[1:]}"', + call, + code=codes.STRING_FORMATTING, + ) + continue + # Adjust expected and actual types. + if not spec.conv_type: + expected_type: Type | None = AnyType(TypeOfAny.special_form) + else: + assert isinstance(call.callee, MemberExpr) + if isinstance(call.callee.expr, StrExpr): + format_str = call.callee.expr + else: + format_str = StrExpr(format_value) + expected_type = self.conversion_type( + spec.conv_type, call, format_str, format_call=True + ) + if spec.conversion is not None: + # If the explicit conversion is given, then explicit conversion is called _first_. + if spec.conversion[1] not in "rsa": + self.msg.fail( + ( + f'Invalid conversion type "{spec.conversion[1]}", ' + f'must be one of "r", "s" or "a"' + ), + call, + code=codes.STRING_FORMATTING, + ) + actual_type = self.named_type("builtins.str") + + # Perform the checks for given types. + if expected_type is None: + continue + + a_type = get_proper_type(actual_type) + actual_items = ( + get_proper_types(a_type.items) if isinstance(a_type, UnionType) else [a_type] + ) + for a_type in actual_items: + if custom_special_method(a_type, "__format__"): + continue + self.check_placeholder_type(a_type, expected_type, call) + self.perform_special_format_checks(spec, call, repl, a_type, expected_type) + + def perform_special_format_checks( + self, + spec: ConversionSpecifier, + call: CallExpr, + repl: Expression, + actual_type: Type, + expected_type: Type, + ) -> None: + # TODO: try refactoring to combine this logic with % formatting. + if spec.conv_type == "c": + if isinstance(repl, (StrExpr, BytesExpr)) and len(repl.value) != 1: + self.msg.requires_int_or_char(call, format_call=True) + c_typ = get_proper_type(self.chk.lookup_type(repl)) + if isinstance(c_typ, Instance) and c_typ.last_known_value: + c_typ = c_typ.last_known_value + if isinstance(c_typ, LiteralType) and isinstance(c_typ.value, str): + if len(c_typ.value) != 1: + self.msg.requires_int_or_char(call, format_call=True) + if (not spec.conv_type or spec.conv_type == "s") and not spec.conversion: + if has_type_component(actual_type, "builtins.bytes") and not custom_special_method( + actual_type, "__str__" + ): + self.msg.fail( + 'If x = b\'abc\' then f"{x}" or "{}".format(x) produces "b\'abc\'", ' + 'not "abc". If this is desired behavior, use f"{x!r}" or "{!r}".format(x). ' + "Otherwise, decode the bytes", + call, + code=codes.STR_BYTES_PY3, + ) + if spec.flags: + numeric_types = UnionType( + [self.named_type("builtins.int"), self.named_type("builtins.float")] + ) + if ( + spec.conv_type + and spec.conv_type not in NUMERIC_TYPES_NEW + or not spec.conv_type + and not is_subtype(actual_type, numeric_types) + and not custom_special_method(actual_type, "__format__") + ): + self.msg.fail( + "Numeric flags are only allowed for numeric types", + call, + code=codes.STRING_FORMATTING, + ) + + def find_replacements_in_call(self, call: CallExpr, keys: list[str]) -> list[Expression]: + """Find replacement expression for every specifier in str.format() call. + + In case of an error use TempNode(AnyType). + """ + result: list[Expression] = [] + used: set[Expression] = set() + for key in keys: + if key.isdecimal(): + expr = self.get_expr_by_position(int(key), call) + if not expr: + self.msg.fail( + f"Cannot find replacement for positional format specifier {key}", + call, + code=codes.STRING_FORMATTING, + ) + expr = TempNode(AnyType(TypeOfAny.from_error)) + else: + expr = self.get_expr_by_name(key, call) + if not expr: + self.msg.fail( + f'Cannot find replacement for named format specifier "{key}"', + call, + code=codes.STRING_FORMATTING, + ) + expr = TempNode(AnyType(TypeOfAny.from_error)) + result.append(expr) + if not isinstance(expr, TempNode): + used.add(expr) + # Strictly speaking not using all replacements is not a type error, but most likely + # a typo in user code, so we show an error like we do for % formatting. + total_explicit = len([kind for kind in call.arg_kinds if kind in (ARG_POS, ARG_NAMED)]) + if len(used) < total_explicit: + self.msg.too_many_string_formatting_arguments(call) + return result + + def get_expr_by_position(self, pos: int, call: CallExpr) -> Expression | None: + """Get positional replacement expression from '{0}, {1}'.format(x, y, ...) call. + + If the type is from *args, return TempNode(). Return None in case of + an error. + """ + pos_args = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_POS] + if pos < len(pos_args): + return pos_args[pos] + star_args = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_STAR] + if not star_args: + return None + + # Fall back to *args when present in call. + star_arg = star_args[0] + varargs_type = get_proper_type(self.chk.lookup_type(star_arg)) + if not isinstance(varargs_type, Instance) or not varargs_type.type.has_base( + "typing.Sequence" + ): + # Error should be already reported. + return TempNode(AnyType(TypeOfAny.special_form)) + iter_info = self.chk.named_generic_type( + "typing.Sequence", [AnyType(TypeOfAny.special_form)] + ).type + return TempNode(map_instance_to_supertype(varargs_type, iter_info).args[0]) + + def get_expr_by_name(self, key: str, call: CallExpr) -> Expression | None: + """Get named replacement expression from '{name}'.format(name=...) call. + + If the type is from **kwargs, return TempNode(). Return None in case of + an error. + """ + named_args = [ + arg + for arg, kind, name in zip(call.args, call.arg_kinds, call.arg_names) + if kind == ARG_NAMED and name == key + ] + if named_args: + return named_args[0] + star_args_2 = [arg for arg, kind in zip(call.args, call.arg_kinds) if kind == ARG_STAR2] + if not star_args_2: + return None + star_arg_2 = star_args_2[0] + kwargs_type = get_proper_type(self.chk.lookup_type(star_arg_2)) + if not isinstance(kwargs_type, Instance) or not kwargs_type.type.has_base( + "typing.Mapping" + ): + # Error should be already reported. + return TempNode(AnyType(TypeOfAny.special_form)) + any_type = AnyType(TypeOfAny.special_form) + mapping_info = self.chk.named_generic_type("typing.Mapping", [any_type, any_type]).type + return TempNode(map_instance_to_supertype(kwargs_type, mapping_info).args[1]) + + def auto_generate_keys(self, all_specs: list[ConversionSpecifier], ctx: Context) -> bool: + """Translate '{} {name} {}' to '{0} {name} {1}'. + + Return True if generation was successful, otherwise report an error and return false. + """ + some_defined = any(s.key and s.key.isdecimal() for s in all_specs) + all_defined = all(bool(s.key) for s in all_specs) + if some_defined and not all_defined: + self.msg.fail( + "Cannot combine automatic field numbering and manual field specification", + ctx, + code=codes.STRING_FORMATTING, + ) + return False + if all_defined: + return True + next_index = 0 + for spec in all_specs: + if not spec.key: + str_index = str(next_index) + spec.key = str_index + # Update also the full field (i.e. turn {.x} into {0.x}). + if not spec.field: + spec.field = str_index + else: + spec.field = str_index + spec.field + next_index += 1 + return True + + def apply_field_accessors( + self, spec: ConversionSpecifier, repl: Expression, ctx: Context + ) -> Expression: + """Transform and validate expr in '{.attr[item]}'.format(expr) into expr.attr['item']. + + If validation fails, return TempNode(AnyType). + """ + assert spec.key, "Keys must be auto-generated first!" + if spec.field == spec.key: + return repl + assert spec.field + + temp_errors = Errors(self.chk.options) + dummy = DUMMY_FIELD_NAME + spec.field[len(spec.key) :] + temp_ast: Node = parse( + dummy, fnam="", module=None, options=self.chk.options, errors=temp_errors + ) + if temp_errors.is_errors(): + self.msg.fail( + f'Syntax error in format specifier "{spec.field}"', + ctx, + code=codes.STRING_FORMATTING, + ) + return TempNode(AnyType(TypeOfAny.from_error)) + + # These asserts are guaranteed by the original regexp. + assert isinstance(temp_ast, MypyFile) + temp_ast = temp_ast.defs[0] + assert isinstance(temp_ast, ExpressionStmt) + temp_ast = temp_ast.expr + if not self.validate_and_transform_accessors(temp_ast, repl, spec, ctx=ctx): + return TempNode(AnyType(TypeOfAny.from_error)) + + # Check if there are any other errors (like missing members). + # TODO: fix column to point to actual start of the format specifier _within_ string. + temp_ast.line = ctx.line + temp_ast.column = ctx.column + self.chk.expr_checker.accept(temp_ast) + return temp_ast + + def validate_and_transform_accessors( + self, + temp_ast: Expression, + original_repl: Expression, + spec: ConversionSpecifier, + ctx: Context, + ) -> bool: + """Validate and transform (in-place) format field accessors. + + On error, report it and return False. The transformations include replacing the dummy + variable with actual replacement expression and translating any name expressions in an + index into strings, so that this will work: + + class User(TypedDict): + name: str + id: int + u: User + '{[id]:d} -> {[name]}'.format(u) + """ + if not isinstance(temp_ast, (MemberExpr, IndexExpr)): + self.msg.fail( + "Only index and member expressions are allowed in" + ' format field accessors; got "{}"'.format(spec.field), + ctx, + code=codes.STRING_FORMATTING, + ) + return False + if isinstance(temp_ast, MemberExpr): + node = temp_ast.expr + else: + node = temp_ast.base + if not isinstance(temp_ast.index, (NameExpr, IntExpr)): + assert spec.key, "Call this method only after auto-generating keys!" + assert spec.field + self.msg.fail( + 'Invalid index expression in format field accessor "{}"'.format( + spec.field[len(spec.key) :] + ), + ctx, + code=codes.STRING_FORMATTING, + ) + return False + if isinstance(temp_ast.index, NameExpr): + temp_ast.index = StrExpr(temp_ast.index.name) + if isinstance(node, NameExpr) and node.name == DUMMY_FIELD_NAME: + # Replace it with the actual replacement expression. + assert isinstance(temp_ast, (IndexExpr, MemberExpr)) # XXX: this is redundant + if isinstance(temp_ast, IndexExpr): + temp_ast.base = original_repl + else: + temp_ast.expr = original_repl + return True + node.line = ctx.line + node.column = ctx.column + return self.validate_and_transform_accessors( + node, original_repl=original_repl, spec=spec, ctx=ctx + ) + + # TODO: In Python 3, the bytes formatting has a more restricted set of options + # compared to string formatting. + def check_str_interpolation(self, expr: FormatStringExpr, replacements: Expression) -> Type: + """Check the types of the 'replacements' in a string interpolation + expression: str % replacements. + """ + self.chk.expr_checker.accept(expr) + specifiers = parse_conversion_specifiers(expr.value) + has_mapping_keys = self.analyze_conversion_specifiers(specifiers, expr) + if has_mapping_keys is None: + pass # Error was reported + elif has_mapping_keys: + self.check_mapping_str_interpolation(specifiers, replacements, expr) + else: + self.check_simple_str_interpolation(specifiers, replacements, expr) + + if isinstance(expr, BytesExpr): + return self.named_type("builtins.bytes") + elif isinstance(expr, StrExpr): + return self.named_type("builtins.str") + else: + assert False + + def analyze_conversion_specifiers( + self, specifiers: list[ConversionSpecifier], context: Context + ) -> bool | None: + has_star = any(specifier.has_star() for specifier in specifiers) + has_key = any(specifier.has_key() for specifier in specifiers) + all_have_keys = all( + specifier.has_key() or specifier.conv_type == "%" for specifier in specifiers + ) + + if has_key and has_star: + self.msg.string_interpolation_with_star_and_key(context) + return None + if has_key and not all_have_keys: + self.msg.string_interpolation_mixing_key_and_non_keys(context) + return None + return has_key + + def check_simple_str_interpolation( + self, + specifiers: list[ConversionSpecifier], + replacements: Expression, + expr: FormatStringExpr, + ) -> None: + """Check % string interpolation with positional specifiers '%s, %d' % ('yes, 42').""" + checkers = self.build_replacement_checkers(specifiers, replacements, expr) + if checkers is None: + return + + rhs_type = get_proper_type(self.accept(replacements)) + rep_types: list[Type] = [] + if isinstance(rhs_type, TupleType): + rep_types = rhs_type.items + unpack_index = find_unpack_in_list(rep_types) + if unpack_index is not None: + # TODO: we should probably warn about potentially short tuple. + # However, without special-casing for tuple(f(i) for in other_tuple) + # this causes false positive on mypy self-check in report.py. + extras = max(0, len(checkers) - len(rep_types) + 1) + unpacked = rep_types[unpack_index] + assert isinstance(unpacked, UnpackType) + unpacked = get_proper_type(unpacked.type) + if isinstance(unpacked, TypeVarTupleType): + unpacked = get_proper_type(unpacked.upper_bound) + assert ( + isinstance(unpacked, Instance) and unpacked.type.fullname == "builtins.tuple" + ) + unpack_items = [unpacked.args[0]] * extras + rep_types = rep_types[:unpack_index] + unpack_items + rep_types[unpack_index + 1 :] + elif isinstance(rhs_type, AnyType): + return + elif isinstance(rhs_type, Instance) and rhs_type.type.fullname == "builtins.tuple": + # Assume that an arbitrary-length tuple has the right number of items. + rep_types = [rhs_type.args[0]] * len(checkers) + elif isinstance(rhs_type, UnionType): + for typ in rhs_type.relevant_items(): + temp_node = TempNode(typ) + temp_node.line = replacements.line + self.check_simple_str_interpolation(specifiers, temp_node, expr) + return + else: + rep_types = [rhs_type] + + if len(checkers) > len(rep_types): + # Only check the fix-length Tuple type. Other Iterable types would skip. + if is_subtype(rhs_type, self.chk.named_type("typing.Iterable")) and not isinstance( + rhs_type, TupleType + ): + return + else: + self.msg.too_few_string_formatting_arguments(replacements) + elif len(checkers) < len(rep_types): + self.msg.too_many_string_formatting_arguments(replacements) + else: + if len(checkers) == 1: + check_node, check_type = checkers[0] + if isinstance(rhs_type, TupleType) and len(rhs_type.items) == 1: + check_type(rhs_type.items[0]) + else: + check_node(replacements) + elif isinstance(replacements, TupleExpr) and not any( + isinstance(item, StarExpr) for item in replacements.items + ): + for checks, rep_node in zip(checkers, replacements.items): + check_node, check_type = checks + check_node(rep_node) + else: + for checks, rep_type in zip(checkers, rep_types): + check_node, check_type = checks + check_type(rep_type) + + def check_mapping_str_interpolation( + self, + specifiers: list[ConversionSpecifier], + replacements: Expression, + expr: FormatStringExpr, + ) -> None: + """Check % string interpolation with names specifiers '%(name)s' % {'name': 'John'}.""" + if isinstance(replacements, DictExpr) and all( + isinstance(k, (StrExpr, BytesExpr)) for k, v in replacements.items + ): + mapping: dict[str, Type] = {} + for k, v in replacements.items: + if isinstance(expr, BytesExpr): + # Special case: for bytes formatting keys must be bytes. + if not isinstance(k, BytesExpr): + self.msg.fail( + "Dictionary keys in bytes formatting must be bytes, not strings", + expr, + code=codes.STRING_FORMATTING, + ) + key_str = cast(FormatStringExpr, k).value + mapping[key_str] = self.accept(v) + + for specifier in specifiers: + if specifier.conv_type == "%": + # %% is allowed in mappings, no checking is required + continue + assert specifier.key is not None + if specifier.key not in mapping: + self.msg.key_not_in_mapping(specifier.key, replacements) + return + rep_type = mapping[specifier.key] + assert specifier.conv_type is not None + expected_type = self.conversion_type(specifier.conv_type, replacements, expr) + if expected_type is None: + return + self.chk.check_subtype( + rep_type, + expected_type, + replacements, + message_registry.INCOMPATIBLE_TYPES_IN_STR_INTERPOLATION, + "expression has type", + f"placeholder with key '{specifier.key}' has type", + code=codes.STRING_FORMATTING, + ) + if specifier.conv_type == "s": + self.check_s_special_cases(expr, rep_type, expr) + else: + rep_type = self.accept(replacements) + dict_type = self.build_dict_type(expr) + self.chk.check_subtype( + rep_type, + dict_type, + replacements, + message_registry.FORMAT_REQUIRES_MAPPING, + "expression has type", + "expected type for mapping is", + code=codes.STRING_FORMATTING, + ) + + def build_dict_type(self, expr: FormatStringExpr) -> Type: + """Build expected mapping type for right operand in % formatting.""" + any_type = AnyType(TypeOfAny.special_form) + if isinstance(expr, BytesExpr): + bytes_type = self.chk.named_generic_type("builtins.bytes", []) + return self.chk.named_generic_type( + "_typeshed.SupportsKeysAndGetItem", [bytes_type, any_type] + ) + elif isinstance(expr, StrExpr): + str_type = self.chk.named_generic_type("builtins.str", []) + return self.chk.named_generic_type( + "_typeshed.SupportsKeysAndGetItem", [str_type, any_type] + ) + else: + assert False, "Unreachable" + + def build_replacement_checkers( + self, specifiers: list[ConversionSpecifier], context: Context, expr: FormatStringExpr + ) -> list[Checkers] | None: + checkers: list[Checkers] = [] + for specifier in specifiers: + checker = self.replacement_checkers(specifier, context, expr) + if checker is None: + return None + checkers.extend(checker) + return checkers + + def replacement_checkers( + self, specifier: ConversionSpecifier, context: Context, expr: FormatStringExpr + ) -> list[Checkers] | None: + """Returns a list of tuples of two functions that check whether a replacement is + of the right type for the specifier. The first function takes a node and checks + its type in the right type context. The second function just checks a type. + """ + checkers: list[Checkers] = [] + + if specifier.width == "*": + checkers.append(self.checkers_for_star(context)) + if specifier.precision == "*": + checkers.append(self.checkers_for_star(context)) + + if specifier.conv_type == "c": + c = self.checkers_for_c_type(specifier.conv_type, context, expr) + if c is None: + return None + checkers.append(c) + elif specifier.conv_type is not None and specifier.conv_type != "%": + c = self.checkers_for_regular_type(specifier.conv_type, context, expr) + if c is None: + return None + checkers.append(c) + return checkers + + def checkers_for_star(self, context: Context) -> Checkers: + """Returns a tuple of check functions that check whether, respectively, + a node or a type is compatible with a star in a conversion specifier. + """ + expected = self.named_type("builtins.int") + + def check_type(type: Type) -> bool: + expected = self.named_type("builtins.int") + return self.chk.check_subtype( + type, expected, context, "* wants int", code=codes.STRING_FORMATTING + ) + + def check_expr(expr: Expression) -> None: + type = self.accept(expr, expected) + check_type(type) + + return check_expr, check_type + + def check_placeholder_type(self, typ: Type, expected_type: Type, context: Context) -> bool: + return self.chk.check_subtype( + typ, + expected_type, + context, + message_registry.INCOMPATIBLE_TYPES_IN_STR_INTERPOLATION, + "expression has type", + "placeholder has type", + code=codes.STRING_FORMATTING, + ) + + def checkers_for_regular_type( + self, conv_type: str, context: Context, expr: FormatStringExpr + ) -> Checkers | None: + """Returns a tuple of check functions that check whether, respectively, + a node or a type is compatible with 'type'. Return None in case of an error. + """ + expected_type = self.conversion_type(conv_type, context, expr) + if expected_type is None: + return None + + def check_type(typ: Type) -> bool: + assert expected_type is not None + ret = self.check_placeholder_type(typ, expected_type, context) + if ret and conv_type == "s": + ret = self.check_s_special_cases(expr, typ, context) + return ret + + def check_expr(expr: Expression) -> None: + type = self.accept(expr, expected_type) + check_type(type) + + return check_expr, check_type + + def check_s_special_cases(self, expr: FormatStringExpr, typ: Type, context: Context) -> bool: + """Additional special cases for %s in bytes vs string context.""" + if isinstance(expr, StrExpr): + # Couple special cases for string formatting. + if has_type_component(typ, "builtins.bytes"): + self.msg.fail( + 'If x = b\'abc\' then "%s" % x produces "b\'abc\'", not "abc". ' + 'If this is desired behavior use "%r" % x. Otherwise, decode the bytes', + context, + code=codes.STR_BYTES_PY3, + ) + return False + if isinstance(expr, BytesExpr): + # A special case for bytes formatting: b'%s' actually requires bytes on Python 3. + if has_type_component(typ, "builtins.str"): + self.msg.fail( + "On Python 3 b'%s' requires bytes, not string", + context, + code=codes.STRING_FORMATTING, + ) + return False + return True + + def checkers_for_c_type( + self, type: str, context: Context, format_expr: FormatStringExpr + ) -> Checkers | None: + """Returns a tuple of check functions that check whether, respectively, + a node or a type is compatible with 'type' that is a character type. + """ + expected_type = self.conversion_type(type, context, format_expr) + if expected_type is None: + return None + + def check_type(type: Type) -> bool: + assert expected_type is not None + if isinstance(format_expr, BytesExpr): + err_msg = '"%c" requires an integer in range(256) or a single byte' + else: + err_msg = '"%c" requires int or char' + return self.chk.check_subtype( + type, + expected_type, + context, + err_msg, + "expression has type", + code=codes.STRING_FORMATTING, + ) + + def check_expr(expr: Expression) -> None: + """int, or str with length 1""" + type = self.accept(expr, expected_type) + # We need further check with expr to make sure that + # it has exact one char or one single byte. + if check_type(type): + # Python 3 doesn't support b'%c' % str + if ( + isinstance(format_expr, BytesExpr) + and isinstance(expr, BytesExpr) + and len(expr.value) != 1 + ): + self.msg.requires_int_or_single_byte(context) + elif isinstance(expr, (StrExpr, BytesExpr)) and len(expr.value) != 1: + self.msg.requires_int_or_char(context) + + return check_expr, check_type + + def conversion_type( + self, p: str, context: Context, expr: FormatStringExpr, format_call: bool = False + ) -> Type | None: + """Return the type that is accepted for a string interpolation conversion specifier type. + + Note that both Python's float (e.g. %f) and integer (e.g. %d) + specifier types accept both float and integers. + + The 'format_call' argument indicates whether this type came from % interpolation or from + a str.format() call, the meaning of few formatting types are different. + """ + NUMERIC_TYPES = NUMERIC_TYPES_NEW if format_call else NUMERIC_TYPES_OLD + INT_TYPES = REQUIRE_INT_NEW if format_call else REQUIRE_INT_OLD + if p == "b" and not format_call: + if not isinstance(expr, BytesExpr): + self.msg.fail( + 'Format character "b" is only supported on bytes patterns', + context, + code=codes.STRING_FORMATTING, + ) + return None + return self.named_type("builtins.bytes") + elif p == "a": + # TODO: return type object? + return AnyType(TypeOfAny.special_form) + elif p in ["s", "r"]: + return AnyType(TypeOfAny.special_form) + elif p in NUMERIC_TYPES: + if p in INT_TYPES: + numeric_types = [self.named_type("builtins.int")] + else: + numeric_types = [ + self.named_type("builtins.int"), + self.named_type("builtins.float"), + ] + if not format_call: + if p in FLOAT_TYPES: + numeric_types.append(self.named_type("typing.SupportsFloat")) + else: + numeric_types.append(self.named_type("typing.SupportsInt")) + return UnionType.make_union(numeric_types) + elif p in ["c"]: + if isinstance(expr, BytesExpr): + return UnionType( + [self.named_type("builtins.int"), self.named_type("builtins.bytes")] + ) + else: + return UnionType( + [self.named_type("builtins.int"), self.named_type("builtins.str")] + ) + else: + self.msg.unsupported_placeholder(p, context) + return None + + # + # Helpers + # + + def named_type(self, name: str) -> Instance: + """Return an instance type with type given by the name and no type + arguments. Alias for TypeChecker.named_type. + """ + return self.chk.named_type(name) + + def accept(self, expr: Expression, context: Type | None = None) -> Type: + """Type check a node. Alias for TypeChecker.accept.""" + return self.chk.expr_checker.accept(expr, context) + + +def has_type_component(typ: Type, fullname: str) -> bool: + """Is this a specific instance type, or a union that contains it? + + We use this ad-hoc function instead of a proper visitor or subtype check + because some str vs bytes errors are strictly speaking not runtime errors, + but rather highly counter-intuitive behavior. This is similar to what is used for + --strict-equality. + """ + typ = get_proper_type(typ) + if isinstance(typ, Instance): + return typ.type.has_base(fullname) + elif isinstance(typ, TypeVarType): + return has_type_component(typ.upper_bound, fullname) or any( + has_type_component(v, fullname) for v in typ.values + ) + elif isinstance(typ, UnionType): + return any(has_type_component(t, fullname) for t in typ.relevant_items()) + return False diff --git a/micromamba_root/Lib/site-packages/mypy/config_parser.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/config_parser.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..f9423e479b152bdf848a770d50d107d8bd495b5e Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/config_parser.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/config_parser.py b/micromamba_root/Lib/site-packages/mypy/config_parser.py new file mode 100644 index 0000000000000000000000000000000000000000..747981916960d65f698cb46351f6a83e4b075063 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/config_parser.py @@ -0,0 +1,734 @@ +from __future__ import annotations + +import argparse +import configparser +import glob as fileglob +import os +import re +import sys +from io import StringIO + +if sys.version_info >= (3, 11): + import tomllib +else: + import tomli as tomllib + +from collections.abc import Callable, Mapping, MutableMapping, Sequence +from typing import Any, Final, TextIO, TypeAlias +from typing_extensions import Never + +from mypy import defaults +from mypy.options import PER_MODULE_OPTIONS, Options + +_CONFIG_VALUE_TYPES: TypeAlias = ( + str | bool | int | float | dict[str, str] | list[str] | tuple[int, int] +) +_INI_PARSER_CALLABLE: TypeAlias = Callable[[Any], _CONFIG_VALUE_TYPES] + + +class VersionTypeError(argparse.ArgumentTypeError): + """Provide a fallback value if the Python version is unsupported.""" + + def __init__(self, *args: Any, fallback: tuple[int, int]) -> None: + self.fallback = fallback + super().__init__(*args) + + +def parse_version(v: str | float) -> tuple[int, int]: + m = re.match(r"\A(\d)\.(\d+)\Z", str(v)) + if not m: + raise argparse.ArgumentTypeError(f"Invalid python version '{v}' (expected format: 'x.y')") + major, minor = int(m.group(1)), int(m.group(2)) + if major == 2 and minor == 7: + pass # Error raised elsewhere + elif major == 3: + if minor < defaults.PYTHON3_VERSION_MIN[1]: + msg = "Python 3.{} is not supported (must be {}.{} or higher)".format( + minor, *defaults.PYTHON3_VERSION_MIN + ) + + if isinstance(v, float): + msg += ". You may need to put quotes around your Python version" + + raise VersionTypeError(msg, fallback=defaults.PYTHON3_VERSION_MIN) + else: + raise argparse.ArgumentTypeError( + f"Python major version '{major}' out of range (must be 3)" + ) + return major, minor + + +def try_split(v: str | Sequence[str] | object, split_regex: str = ",") -> list[str]: + """Split and trim a str or sequence (eg: list) of str into a list of str. + If an element of the input is not str, a type error will be raised.""" + + def complain(x: object, additional_info: str = "") -> Never: + raise argparse.ArgumentTypeError( + f"Expected a list or a stringified version thereof, but got: '{x}', of type {type(x).__name__}.{additional_info}" + ) + + if isinstance(v, str): + items = [p.strip() for p in re.split(split_regex, v)] + if items and items[-1] == "": + items.pop(-1) + return items + elif isinstance(v, Sequence): + return [ + ( + p.strip() + if isinstance(p, str) + else complain(p, additional_info=" (As an element of the list.)") + ) + for p in v + ] + else: + complain(v) + + +def validate_package_allow_list(allow_list: list[str]) -> list[str]: + for p in allow_list: + msg = f"Invalid allow list entry: {p}" + if "*" in p: + raise argparse.ArgumentTypeError( + f"{msg} (entries are already prefixes so must not contain *)" + ) + if "\\" in p or "/" in p: + raise argparse.ArgumentTypeError( + f"{msg} (entries must be packages like foo.bar not directories or files)" + ) + return allow_list + + +def expand_path(path: str) -> str: + """Expand the user home directory and any environment variables contained within + the provided path. + """ + + return os.path.expandvars(os.path.expanduser(path)) + + +def str_or_array_as_list(v: str | Sequence[str]) -> list[str]: + if isinstance(v, str): + return [v.strip()] if v.strip() else [] + return [p.strip() for p in v if p.strip()] + + +def split_and_match_files_list(paths: Sequence[str]) -> list[str]: + """Take a list of files/directories (with support for globbing through the glob library). + + Where a path/glob matches no file, we still include the raw path in the resulting list. + + Returns a list of file paths + """ + expanded_paths = [] + + for path in paths: + path = expand_path(path.strip()) + globbed_files = fileglob.glob(path, recursive=True) + if globbed_files: + expanded_paths.extend(globbed_files) + else: + expanded_paths.append(path) + + return expanded_paths + + +def split_and_match_files(paths: str) -> list[str]: + """Take a string representing a list of files/directories (with support for globbing + through the glob library). + + Where a path/glob matches no file, we still include the raw path in the resulting list. + + Returns a list of file paths + """ + + return split_and_match_files_list(split_commas(paths)) + + +def check_follow_imports(choice: str) -> str: + choices = ["normal", "silent", "skip", "error"] + if choice not in choices: + raise argparse.ArgumentTypeError( + "invalid choice '{}' (choose from {})".format( + choice, ", ".join(f"'{x}'" for x in choices) + ) + ) + return choice + + +def check_junit_format(choice: str) -> str: + choices = ["global", "per_file"] + if choice not in choices: + raise argparse.ArgumentTypeError( + "invalid choice '{}' (choose from {})".format( + choice, ", ".join(f"'{x}'" for x in choices) + ) + ) + return choice + + +def split_commas(value: str) -> list[str]: + # Uses a bit smarter technique to allow last trailing comma + # and to remove last `""` item from the split. + items = value.split(",") + if items and items[-1] == "": + items.pop(-1) + return items + + +# For most options, the type of the default value set in options.py is +# sufficient, and we don't have to do anything here. This table +# exists to specify types for values initialized to None or container +# types. +ini_config_types: Final[dict[str, _INI_PARSER_CALLABLE]] = { + "python_version": parse_version, + "custom_typing_module": str, + "custom_typeshed_dir": expand_path, + "mypy_path": lambda s: [expand_path(p.strip()) for p in re.split("[,:]", s)], + "files": split_and_match_files, + "quickstart_file": expand_path, + "junit_xml": expand_path, + "junit_format": check_junit_format, + "follow_imports": check_follow_imports, + "no_site_packages": bool, + "plugins": lambda s: [p.strip() for p in split_commas(s)], + "always_true": lambda s: [p.strip() for p in split_commas(s)], + "always_false": lambda s: [p.strip() for p in split_commas(s)], + "untyped_calls_exclude": lambda s: validate_package_allow_list( + [p.strip() for p in split_commas(s)] + ), + "enable_incomplete_feature": lambda s: [p.strip() for p in split_commas(s)], + "disable_error_code": lambda s: [p.strip() for p in split_commas(s)], + "enable_error_code": lambda s: [p.strip() for p in split_commas(s)], + "package_root": lambda s: [p.strip() for p in split_commas(s)], + "cache_dir": expand_path, + "python_executable": expand_path, + "strict": bool, + "exclude": lambda s: [s.strip()], + "packages": try_split, + "modules": try_split, +} + +# Reuse the ini_config_types and overwrite the diff +toml_config_types: Final[dict[str, _INI_PARSER_CALLABLE]] = ini_config_types.copy() +toml_config_types.update( + { + "python_version": parse_version, + "mypy_path": lambda s: [expand_path(p) for p in try_split(s, "[,:]")], + "files": lambda s: split_and_match_files_list(try_split(s)), + "junit_format": lambda s: check_junit_format(str(s)), + "follow_imports": lambda s: check_follow_imports(str(s)), + "plugins": try_split, + "always_true": try_split, + "always_false": try_split, + "untyped_calls_exclude": lambda s: validate_package_allow_list(try_split(s)), + "enable_incomplete_feature": try_split, + "disable_error_code": lambda s: try_split(s), + "enable_error_code": lambda s: try_split(s), + "package_root": try_split, + "exclude": str_or_array_as_list, + "packages": try_split, + "modules": try_split, + } +) + + +def _parse_individual_file( + config_file: str, stderr: TextIO | None = None +) -> tuple[MutableMapping[str, Any], dict[str, _INI_PARSER_CALLABLE], str] | None: + + if not os.path.exists(config_file): + return None + + parser: MutableMapping[str, Any] + try: + if is_toml(config_file): + with open(config_file, "rb") as f: + toml_data = tomllib.load(f) + # Filter down to just mypy relevant toml keys + toml_data = toml_data.get("tool", {}) + if "mypy" not in toml_data: + return None + toml_data = {"mypy": toml_data["mypy"]} + parser = destructure_overrides(toml_data) + config_types = toml_config_types + else: + parser = configparser.RawConfigParser() + parser.read(config_file) + config_types = ini_config_types + + except (tomllib.TOMLDecodeError, configparser.Error, ConfigTOMLValueError) as err: + print(f"{config_file}: {err}", file=stderr) + return None + + if os.path.basename(config_file) in defaults.SHARED_CONFIG_NAMES and "mypy" not in parser: + return None + + return parser, config_types, config_file + + +def _find_config_file( + stderr: TextIO | None = None, +) -> tuple[MutableMapping[str, Any], dict[str, _INI_PARSER_CALLABLE], str] | None: + + current_dir = os.path.abspath(os.getcwd()) + + while True: + for name in defaults.CONFIG_NAMES + defaults.SHARED_CONFIG_NAMES: + config_file = os.path.relpath(os.path.join(current_dir, name)) + ret = _parse_individual_file(config_file, stderr) + if ret is None: + continue + return ret + + if any( + os.path.exists(os.path.join(current_dir, cvs_root)) for cvs_root in (".git", ".hg") + ): + break + parent_dir = os.path.dirname(current_dir) + if parent_dir == current_dir: + break + current_dir = parent_dir + + for config_file in defaults.USER_CONFIG_FILES: + ret = _parse_individual_file(config_file, stderr) + if ret is None: + continue + return ret + + return None + + +def parse_config_file( + options: Options, + set_strict_flags: Callable[[], None], + filename: str | None, + stdout: TextIO | None = None, + stderr: TextIO | None = None, +) -> None: + """Parse a config file into an Options object. + + Errors are written to stderr but are not fatal. + + If filename is None, fall back to default config files. + """ + stdout = stdout or sys.stdout + stderr = stderr or sys.stderr + + ret = ( + _parse_individual_file(filename, stderr) + if filename is not None + else _find_config_file(stderr) + ) + if ret is None: + return + parser, config_types, file_read = ret + + options.config_file = file_read + os.environ["MYPY_CONFIG_FILE_DIR"] = os.path.dirname(os.path.abspath(file_read)) + + if "mypy" not in parser: + if filename or os.path.basename(file_read) not in defaults.SHARED_CONFIG_NAMES: + print(f"{file_read}: No [mypy] section in config file", file=stderr) + else: + section = parser["mypy"] + prefix = f"{file_read}: [mypy]: " + updates, report_dirs = parse_section( + prefix, options, set_strict_flags, section, config_types, stderr + ) + for k, v in updates.items(): + setattr(options, k, v) + options.report_dirs.update(report_dirs) + + for name, section in parser.items(): + if name.startswith("mypy-"): + prefix = get_prefix(file_read, name) + updates, report_dirs = parse_section( + prefix, options, set_strict_flags, section, config_types, stderr + ) + if report_dirs: + print( + prefix, + "Per-module sections should not specify reports ({})".format( + ", ".join(s + "_report" for s in sorted(report_dirs)) + ), + file=stderr, + ) + if set(updates) - PER_MODULE_OPTIONS: + print( + prefix, + "Per-module sections should only specify per-module flags ({})".format( + ", ".join(sorted(set(updates) - PER_MODULE_OPTIONS)) + ), + file=stderr, + ) + updates = {k: v for k, v in updates.items() if k in PER_MODULE_OPTIONS} + + globs = name[5:] + for glob in globs.split(","): + # For backwards compatibility, replace (back)slashes with dots. + glob = glob.replace(os.sep, ".") + if os.altsep: + glob = glob.replace(os.altsep, ".") + + if any(c in glob for c in "?[]!") or any( + "*" in x and x != "*" for x in glob.split(".") + ): + print( + prefix, + "Patterns must be fully-qualified module names, optionally " + "with '*' in some components (e.g spam.*.eggs.*)", + file=stderr, + ) + else: + options.per_module_options[glob] = updates + + +def get_prefix(file_read: str, name: str) -> str: + if is_toml(file_read): + module_name_str = 'module = "%s"' % "-".join(name.split("-")[1:]) + else: + module_name_str = name + + return f"{file_read}: [{module_name_str}]:" + + +def is_toml(filename: str) -> bool: + return filename.lower().endswith(".toml") + + +def destructure_overrides(toml_data: dict[str, Any]) -> dict[str, Any]: + """Take the new [[tool.mypy.overrides]] section array in the pyproject.toml file, + and convert it back to a flatter structure that the existing config_parser can handle. + + E.g. the following pyproject.toml file: + + [[tool.mypy.overrides]] + module = [ + "a.b", + "b.*" + ] + disallow_untyped_defs = true + + [[tool.mypy.overrides]] + module = 'c' + disallow_untyped_defs = false + + Would map to the following config dict that it would have gotten from parsing an equivalent + ini file: + + { + "mypy-a.b": { + disallow_untyped_defs = true, + }, + "mypy-b.*": { + disallow_untyped_defs = true, + }, + "mypy-c": { + disallow_untyped_defs: false, + }, + } + """ + if "overrides" not in toml_data["mypy"]: + return toml_data + + if not isinstance(toml_data["mypy"]["overrides"], list): + raise ConfigTOMLValueError( + "tool.mypy.overrides sections must be an array. Please make " + "sure you are using double brackets like so: [[tool.mypy.overrides]]" + ) + + result = toml_data.copy() + for override in result["mypy"]["overrides"]: + if "module" not in override: + raise ConfigTOMLValueError( + "toml config file contains a [[tool.mypy.overrides]] " + "section, but no module to override was specified." + ) + + if isinstance(override["module"], str): + modules = [override["module"]] + elif isinstance(override["module"], list): + modules = override["module"] + else: + raise ConfigTOMLValueError( + "toml config file contains a [[tool.mypy.overrides]] " + "section with a module value that is not a string or a list of " + "strings" + ) + + for module in modules: + module_overrides = override.copy() + del module_overrides["module"] + old_config_name = f"mypy-{module}" + if old_config_name not in result: + result[old_config_name] = module_overrides + else: + for new_key, new_value in module_overrides.items(): + if ( + new_key in result[old_config_name] + and result[old_config_name][new_key] != new_value + ): + raise ConfigTOMLValueError( + "toml config file contains " + "[[tool.mypy.overrides]] sections with conflicting " + f"values. Module '{module}' has two different values for '{new_key}'" + ) + result[old_config_name][new_key] = new_value + + del result["mypy"]["overrides"] + return result + + +def parse_section( + prefix: str, + template: Options, + set_strict_flags: Callable[[], None], + section: Mapping[str, Any], + config_types: dict[str, Any], + stderr: TextIO = sys.stderr, +) -> tuple[dict[str, object], dict[str, str]]: + """Parse one section of a config file. + + Returns a dict of option values encountered, and a dict of report directories. + """ + results: dict[str, object] = {} + report_dirs: dict[str, str] = {} + + # Because these fields exist on Options, without proactive checking, we would accept them + # and crash later + invalid_options = { + "enabled_error_codes": "enable_error_code", + "disabled_error_codes": "disable_error_code", + } + + for key in section: + invert = False + # Here we use `key` for original config section key, and `options_key` for + # the corresponding Options attribute. + options_key = key + # Match aliasing for command line flag. + if key.endswith("allow_redefinition"): + options_key += "_old" + if key in config_types: + ct = config_types[key] + elif key in invalid_options: + print( + f"{prefix}Unrecognized option: {key} = {section[key]}" + f" (did you mean {invalid_options[key]}?)", + file=stderr, + ) + continue + else: + dv = getattr(template, options_key, None) + if dv is None: + if key.endswith("_report"): + report_type = key[:-7].replace("_", "-") + if report_type in defaults.REPORTER_NAMES: + report_dirs[report_type] = str(section[key]) + else: + print(f"{prefix}Unrecognized report type: {key}", file=stderr) + continue + if key.startswith("x_"): + pass # Don't complain about `x_blah` flags + elif key.startswith("no_") and hasattr(template, options_key[3:]): + options_key = options_key[3:] + invert = True + elif key.startswith("allow") and hasattr(template, "dis" + options_key): + options_key = "dis" + options_key + invert = True + elif key.startswith("disallow") and hasattr(template, options_key[3:]): + options_key = options_key[3:] + invert = True + elif key.startswith("show_") and hasattr(template, "hide_" + options_key[5:]): + options_key = "hide_" + options_key[5:] + invert = True + elif key == "strict": + pass # Special handling below + else: + print(f"{prefix}Unrecognized option: {key} = {section[key]}", file=stderr) + if invert: + dv = getattr(template, options_key, None) + else: + continue + ct = type(dv) if dv is not None else None + v: Any = None + try: + if ct is bool: + if isinstance(section, dict): + v = convert_to_boolean(section.get(key)) + else: + v = section.getboolean(key) # type: ignore[attr-defined] # Until better stub + if invert: + v = not v + elif callable(ct): + if invert: + print(f"{prefix}Can not invert non-boolean key {options_key}", file=stderr) + continue + try: + v = ct(section.get(key)) + except VersionTypeError as err_version: + print(f"{prefix}{key}: {err_version}", file=stderr) + v = err_version.fallback + except argparse.ArgumentTypeError as err: + print(f"{prefix}{key}: {err}", file=stderr) + continue + else: + print(f"{prefix}Don't know what type {key} should have", file=stderr) + continue + except ValueError as err: + print(f"{prefix}{key}: {err}", file=stderr) + continue + if key == "strict": + if v: + set_strict_flags() + continue + results[options_key] = v + + # These two flags act as per-module overrides, so store the empty defaults. + if "disable_error_code" not in results: + results["disable_error_code"] = [] + if "enable_error_code" not in results: + results["enable_error_code"] = [] + + return results, report_dirs + + +def convert_to_boolean(value: Any | None) -> bool: + """Return a boolean value translating from other types if necessary.""" + if isinstance(value, bool): + return value + if not isinstance(value, str): + value = str(value) + if value.lower() not in configparser.RawConfigParser.BOOLEAN_STATES: + raise ValueError(f"Not a boolean: {value}") + return configparser.RawConfigParser.BOOLEAN_STATES[value.lower()] + + +def split_directive(s: str) -> tuple[list[str], list[str]]: + """Split s on commas, except during quoted sections. + + Returns the parts and a list of error messages.""" + parts = [] + cur: list[str] = [] + errors = [] + i = 0 + while i < len(s): + if s[i] == ",": + parts.append("".join(cur).strip()) + cur = [] + elif s[i] == '"': + i += 1 + while i < len(s) and s[i] != '"': + cur.append(s[i]) + i += 1 + if i == len(s): + errors.append("Unterminated quote in configuration comment") + cur.clear() + else: + cur.append(s[i]) + i += 1 + if cur: + parts.append("".join(cur).strip()) + + return parts, errors + + +def mypy_comments_to_config_map(line: str, template: Options) -> tuple[dict[str, str], list[str]]: + """Rewrite the mypy comment syntax into ini file syntax.""" + options = {} + entries, errors = split_directive(line) + for entry in entries: + if "=" not in entry: + name = entry + value = None + else: + name, value = (x.strip() for x in entry.split("=", 1)) + + name = name.replace("-", "_") + if value is None: + value = "True" + options[name] = value + + return options, errors + + +def parse_mypy_comments( + args: list[tuple[int, str]], template: Options +) -> tuple[dict[str, object], list[tuple[int, str]]]: + """Parse a collection of inline mypy: configuration comments. + + Returns a dictionary of options to be applied and a list of error messages + generated. + """ + errors: list[tuple[int, str]] = [] + sections: dict[str, object] = {"enable_error_code": [], "disable_error_code": []} + + for lineno, line in args: + # In order to easily match the behavior for bools, we abuse configparser. + # Oddly, the only way to get the SectionProxy object with the getboolean + # method is to create a config parser. + parser = configparser.RawConfigParser() + options, parse_errors = mypy_comments_to_config_map(line, template) + if "python_version" in options: + errors.append((lineno, "python_version not supported in inline configuration")) + del options["python_version"] + + parser["dummy"] = options + errors.extend((lineno, x) for x in parse_errors) + + stderr = StringIO() + strict_found = False + + def set_strict_flags() -> None: + nonlocal strict_found + strict_found = True + + new_sections, reports = parse_section( + "", template, set_strict_flags, parser["dummy"], ini_config_types, stderr=stderr + ) + errors.extend((lineno, x) for x in stderr.getvalue().strip().split("\n") if x) + if reports: + errors.append((lineno, "Reports not supported in inline configuration")) + if strict_found: + errors.append( + ( + lineno, + 'Setting "strict" not supported in inline configuration: specify it in ' + "a configuration file instead, or set individual inline flags " + '(see "mypy -h" for the list of flags enabled in strict mode)', + ) + ) + # Because this is currently special-cased + # (the new_sections for an inline config *always* includes 'disable_error_code' and + # 'enable_error_code' fields, usually empty, which overwrite the old ones), + # we have to manipulate them specially. + # This could use a refactor, but so could the whole subsystem. + if ( + "enable_error_code" in new_sections + and isinstance(neec := new_sections["enable_error_code"], list) + and isinstance(eec := sections.get("enable_error_code", []), list) + ): + new_sections["enable_error_code"] = sorted(set(neec + eec)) + if ( + "disable_error_code" in new_sections + and isinstance(ndec := new_sections["disable_error_code"], list) + and isinstance(dec := sections.get("disable_error_code", []), list) + ): + new_sections["disable_error_code"] = sorted(set(ndec + dec)) + sections.update(new_sections) + return sections, errors + + +def get_config_module_names(filename: str | None, modules: list[str]) -> str: + if not filename or not modules: + return "" + + if not is_toml(filename): + return ", ".join(f"[mypy-{module}]" for module in modules) + + return "module = ['%s']" % ("', '".join(sorted(modules))) + + +class ConfigTOMLValueError(ValueError): + pass diff --git a/micromamba_root/Lib/site-packages/mypy/constant_fold.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/constant_fold.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..442aa7ad3eb807fb96efef807c48845de9431019 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/constant_fold.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/constant_fold.py b/micromamba_root/Lib/site-packages/mypy/constant_fold.py new file mode 100644 index 0000000000000000000000000000000000000000..e1b915df229855b01dc737c564fff0596aa1e03e --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/constant_fold.py @@ -0,0 +1,187 @@ +"""Constant folding of expressions. + +For example, 3 + 5 can be constant folded into 8. +""" + +from __future__ import annotations + +from typing import Final + +from mypy.nodes import ( + ComplexExpr, + Expression, + FloatExpr, + IntExpr, + NameExpr, + OpExpr, + StrExpr, + UnaryExpr, + Var, +) + +# All possible result types of constant folding +ConstantValue = int | bool | float | complex | str +CONST_TYPES: Final = (int, bool, float, complex, str) + + +def constant_fold_expr(expr: Expression, cur_mod_id: str) -> ConstantValue | None: + """Return the constant value of an expression for supported operations. + + Among other things, support int arithmetic and string + concatenation. For example, the expression 3 + 5 has the constant + value 8. + + Also bind simple references to final constants defined in the + current module (cur_mod_id). Binding to references is best effort + -- we don't bind references to other modules. Mypyc trusts these + to be correct in compiled modules, so that it can replace a + constant expression (or a reference to one) with the statically + computed value. We don't want to infer constant values based on + stubs, in particular, as these might not match the implementation + (due to version skew, for example). + + Return None if unsuccessful. + """ + if isinstance(expr, IntExpr): + return expr.value + if isinstance(expr, StrExpr): + return expr.value + if isinstance(expr, FloatExpr): + return expr.value + if isinstance(expr, ComplexExpr): + return expr.value + elif isinstance(expr, NameExpr): + if expr.name == "True": + return True + elif expr.name == "False": + return False + node = expr.node + if ( + isinstance(node, Var) + and node.is_final + and node.fullname.rsplit(".", 1)[0] == cur_mod_id + ): + value = node.final_value + if isinstance(value, (CONST_TYPES)): + return value + elif isinstance(expr, OpExpr): + left = constant_fold_expr(expr.left, cur_mod_id) + right = constant_fold_expr(expr.right, cur_mod_id) + if left is not None and right is not None: + return constant_fold_binary_op(expr.op, left, right) + elif isinstance(expr, UnaryExpr): + value = constant_fold_expr(expr.expr, cur_mod_id) + if value is not None: + return constant_fold_unary_op(expr.op, value) + return None + + +def constant_fold_binary_op( + op: str, left: ConstantValue, right: ConstantValue +) -> ConstantValue | None: + if isinstance(left, int) and isinstance(right, int): + return constant_fold_binary_int_op(op, left, right) + + # Float and mixed int/float arithmetic. + if isinstance(left, float) and isinstance(right, float): + return constant_fold_binary_float_op(op, left, right) + elif isinstance(left, float) and isinstance(right, int): + return constant_fold_binary_float_op(op, left, right) + elif isinstance(left, int) and isinstance(right, float): + return constant_fold_binary_float_op(op, left, right) + + # String concatenation and multiplication. + if op == "+" and isinstance(left, str) and isinstance(right, str): + return left + right + elif op == "*" and isinstance(left, str) and isinstance(right, int): + return left * right + elif op == "*" and isinstance(left, int) and isinstance(right, str): + return left * right + + # Complex construction. + if op == "+" and isinstance(left, (int, float)) and isinstance(right, complex): + return left + right + elif op == "+" and isinstance(left, complex) and isinstance(right, (int, float)): + return left + right + elif op == "-" and isinstance(left, (int, float)) and isinstance(right, complex): + return left - right + elif op == "-" and isinstance(left, complex) and isinstance(right, (int, float)): + return left - right + + return None + + +def constant_fold_binary_int_op(op: str, left: int, right: int) -> int | float | None: + if op == "+": + return left + right + if op == "-": + return left - right + elif op == "*": + return left * right + elif op == "/": + if right != 0: + return left / right + elif op == "//": + if right != 0: + return left // right + elif op == "%": + if right != 0: + return left % right + elif op == "&": + return left & right + elif op == "|": + return left | right + elif op == "^": + return left ^ right + elif op == "<<": + if right >= 0: + return left << right + elif op == ">>": + if right >= 0: + return left >> right + elif op == "**": + if right >= 0: + ret = left**right + assert isinstance(ret, int) + return ret + return None + + +def constant_fold_binary_float_op(op: str, left: int | float, right: int | float) -> float | None: + assert not (isinstance(left, int) and isinstance(right, int)), (op, left, right) + if op == "+": + return left + right + elif op == "-": + return left - right + elif op == "*": + return left * right + elif op == "/": + if right != 0: + return left / right + elif op == "//": + if right != 0: + return left // right + elif op == "%": + if right != 0: + return left % right + elif op == "**": + if (left < 0 and isinstance(right, int)) or left > 0: + try: + ret = left**right + except OverflowError: + return None + else: + assert isinstance(ret, float), ret + return ret + + return None + + +def constant_fold_unary_op(op: str, value: ConstantValue) -> int | float | None: + if op == "-" and isinstance(value, (int, float)): + return -value + elif op == "~" and isinstance(value, int): + return ~value + elif op == "+" and isinstance(value, (int, float)): + return value + return None diff --git a/micromamba_root/Lib/site-packages/mypy/constraints.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/constraints.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..cb506573c7421850ce1841b82b68705fdb462008 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/constraints.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/constraints.py b/micromamba_root/Lib/site-packages/mypy/constraints.py new file mode 100644 index 0000000000000000000000000000000000000000..df79fdae5456cf679e70a8131d6b9c79560957e4 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/constraints.py @@ -0,0 +1,1687 @@ +"""Type inference constraints.""" + +from __future__ import annotations + +from collections.abc import Iterable, Sequence +from typing import TYPE_CHECKING, Final, TypeGuard, cast + +import mypy.subtypes +import mypy.typeops +from mypy.argmap import ArgTypeExpander +from mypy.erasetype import erase_typevars +from mypy.maptype import map_instance_to_supertype +from mypy.nodes import ( + ARG_OPT, + ARG_POS, + ARG_STAR, + ARG_STAR2, + CONTRAVARIANT, + COVARIANT, + ArgKind, + TypeInfo, +) +from mypy.types import ( + TUPLE_LIKE_INSTANCE_NAMES, + AnyType, + CallableType, + DeletedType, + ErasedType, + Instance, + LiteralType, + NoneType, + NormalizedCallableType, + Overloaded, + Parameters, + ParamSpecType, + PartialType, + ProperType, + TupleType, + Type, + TypeAliasType, + TypedDictType, + TypeOfAny, + TypeType, + TypeVarId, + TypeVarLikeType, + TypeVarTupleType, + TypeVarType, + TypeVisitor, + UnboundType, + UninhabitedType, + UnionType, + UnpackType, + find_unpack_in_list, + flatten_nested_tuples, + get_proper_type, + has_recursive_types, + has_type_vars, + is_named_instance, + split_with_prefix_and_suffix, +) +from mypy.types_utils import is_union_with_any +from mypy.typestate import type_state + +if TYPE_CHECKING: + from mypy.infer import ArgumentInferContext + +SUBTYPE_OF: Final = 0 +SUPERTYPE_OF: Final = 1 + + +class Constraint: + """A representation of a type constraint. + + It can be either T <: type or T :> type (T is a type variable). + """ + + type_var: TypeVarId + op = 0 # SUBTYPE_OF or SUPERTYPE_OF + target: Type + + def __init__(self, type_var: TypeVarLikeType, op: int, target: Type) -> None: + self.type_var = type_var.id + self.op = op + # TODO: should we add "assert not isinstance(target, UnpackType)"? + # UnpackType is a synthetic type, and is never valid as a constraint target. + self.target = target + self.origin_type_var = type_var + # These are additional type variables that should be solved for together with type_var. + # TODO: A cleaner solution may be to modify the return type of infer_constraints() + # to include these instead, but this is a rather big refactoring. + self.extra_tvars: list[TypeVarLikeType] = [] + + def __repr__(self) -> str: + op_str = "<:" + if self.op == SUPERTYPE_OF: + op_str = ":>" + return f"{self.type_var} {op_str} {self.target}" + + def __hash__(self) -> int: + return hash((self.type_var, self.op, self.target)) + + def __eq__(self, other: object) -> bool: + if not isinstance(other, Constraint): + return False + return (self.type_var, self.op, self.target) == (other.type_var, other.op, other.target) + + +def infer_constraints_for_callable( + callee: CallableType, + arg_types: Sequence[Type | None], + arg_kinds: list[ArgKind], + arg_names: Sequence[str | None] | None, + formal_to_actual: list[list[int]], + context: ArgumentInferContext, +) -> list[Constraint]: + """Infer type variable constraints for a callable and actual arguments. + + Return a list of constraints. + """ + constraints: list[Constraint] = [] + mapper = ArgTypeExpander(context) + + param_spec = callee.param_spec() + param_spec_arg_types = [] + param_spec_arg_names = [] + param_spec_arg_kinds: list[ArgKind] = [] + + incomplete_star_mapping = False + for i, actuals in enumerate(formal_to_actual): # TODO: isn't this `enumerate(arg_types)`? + for actual in actuals: + if actual is None and callee.arg_kinds[i] in (ARG_STAR, ARG_STAR2): # type: ignore[unreachable] + # We can't use arguments to infer ParamSpec constraint, if only some + # are present in the current inference pass. + incomplete_star_mapping = True # type: ignore[unreachable] + break + + for i, actuals in enumerate(formal_to_actual): + if isinstance(callee.arg_types[i], UnpackType): + unpack_type = callee.arg_types[i] + assert isinstance(unpack_type, UnpackType) + + # In this case we are binding all the actuals to *args, + # and we want a constraint that the typevar tuple being unpacked + # is equal to a type list of all the actuals. + actual_types = [] + + unpacked_type = get_proper_type(unpack_type.type) + if isinstance(unpacked_type, TypeVarTupleType): + tuple_instance = unpacked_type.tuple_fallback + elif isinstance(unpacked_type, TupleType): + tuple_instance = unpacked_type.partial_fallback + else: + assert False, "mypy bug: unhandled constraint inference case" + + for actual in actuals: + actual_arg_type = arg_types[actual] + if actual_arg_type is None: + continue + + expanded_actual = mapper.expand_actual_type( + actual_arg_type, + arg_kinds[actual], + callee.arg_names[i], + callee.arg_kinds[i], + allow_unpack=True, + ) + + if arg_kinds[actual] != ARG_STAR or isinstance( + get_proper_type(actual_arg_type), TupleType + ): + actual_types.append(expanded_actual) + else: + # If we are expanding an iterable inside * actual, append a homogeneous item instead + actual_types.append( + UnpackType(tuple_instance.copy_modified(args=[expanded_actual])) + ) + + if isinstance(unpacked_type, TypeVarTupleType): + constraints.append( + Constraint( + unpacked_type, + SUPERTYPE_OF, + TupleType(actual_types, unpacked_type.tuple_fallback), + ) + ) + elif isinstance(unpacked_type, TupleType): + # Prefixes get converted to positional args, so technically the only case we + # should have here is like Tuple[Unpack[Ts], Y1, Y2, Y3]. If this turns out + # not to hold we can always handle the prefixes too. + inner_unpack = unpacked_type.items[0] + assert isinstance(inner_unpack, UnpackType) + inner_unpacked_type = get_proper_type(inner_unpack.type) + suffix_len = len(unpacked_type.items) - 1 + if isinstance(inner_unpacked_type, TypeVarTupleType): + # Variadic item can be either *Ts... + constraints.append( + Constraint( + inner_unpacked_type, + SUPERTYPE_OF, + TupleType( + actual_types[:-suffix_len], inner_unpacked_type.tuple_fallback + ), + ) + ) + else: + # ...or it can be a homogeneous tuple. + assert ( + isinstance(inner_unpacked_type, Instance) + and inner_unpacked_type.type.fullname == "builtins.tuple" + ) + for at in actual_types[:-suffix_len]: + constraints.extend( + infer_constraints(inner_unpacked_type.args[0], at, SUPERTYPE_OF) + ) + # Now handle the suffix (if any). + if suffix_len: + for tt, at in zip(unpacked_type.items[1:], actual_types[-suffix_len:]): + constraints.extend(infer_constraints(tt, at, SUPERTYPE_OF)) + else: + assert False, "mypy bug: unhandled constraint inference case" + else: + for actual in actuals: + actual_arg_type = arg_types[actual] + if actual_arg_type is None: + continue + + if param_spec and callee.arg_kinds[i] in (ARG_STAR, ARG_STAR2): + # If actual arguments are mapped to ParamSpec type, we can't infer individual + # constraints, instead store them and infer single constraint at the end. + # It is impossible to map actual kind to formal kind, so use some heuristic. + # This inference is used as a fallback, so relying on heuristic should be OK. + if not incomplete_star_mapping: + param_spec_arg_types.append( + mapper.expand_actual_type( + actual_arg_type, arg_kinds[actual], None, arg_kinds[actual] + ) + ) + actual_kind = arg_kinds[actual] + param_spec_arg_kinds.append( + ARG_POS if actual_kind not in (ARG_STAR, ARG_STAR2) else actual_kind + ) + param_spec_arg_names.append(arg_names[actual] if arg_names else None) + else: + actual_type = mapper.expand_actual_type( + actual_arg_type, + arg_kinds[actual], + callee.arg_names[i], + callee.arg_kinds[i], + ) + c = infer_constraints(callee.arg_types[i], actual_type, SUPERTYPE_OF) + constraints.extend(c) + if ( + param_spec + and not any(c.type_var == param_spec.id for c in constraints) + and not incomplete_star_mapping + ): + # Use ParamSpec constraint from arguments only if there are no other constraints, + # since as explained above it is quite ad-hoc. + constraints.append( + Constraint( + param_spec, + SUPERTYPE_OF, + Parameters( + arg_types=param_spec_arg_types, + arg_kinds=param_spec_arg_kinds, + arg_names=param_spec_arg_names, + imprecise_arg_kinds=True, + ), + ) + ) + if any(isinstance(v, ParamSpecType) for v in callee.variables): + # As a perf optimization filter imprecise constraints only when we can have them. + constraints = filter_imprecise_kinds(constraints) + return constraints + + +def infer_constraints( + template: Type, actual: Type, direction: int, skip_neg_op: bool = False +) -> list[Constraint]: + """Infer type constraints. + + Match a template type, which may contain type variable references, + recursively against a type which does not contain (the same) type + variable references. The result is a list of type constrains of + form 'T is a supertype/subtype of x', where T is a type variable + present in the template and x is a type without reference to type + variables present in the template. + + Assume T and S are type variables. Now the following results can be + calculated (read as '(template, actual) --> result'): + + (T, X) --> T :> X + (X[T], X[Y]) --> T <: Y and T :> Y + ((T, T), (X, Y)) --> T :> X and T :> Y + ((T, S), (X, Y)) --> T :> X and S :> Y + (X[T], Any) --> T <: Any and T :> Any + + The constraints are represented as Constraint objects. If skip_neg_op == True, + then skip adding reverse (polymorphic) constraints (since this is already a call + to infer such constraints). + """ + if any( + get_proper_type(template) == get_proper_type(t) + and get_proper_type(actual) == get_proper_type(a) + for (t, a) in reversed(type_state.inferring) + ): + return [] + if has_recursive_types(template) or isinstance(get_proper_type(template), Instance): + # This case requires special care because it may cause infinite recursion. + # Note that we include Instances because the may be recursive as str(Sequence[str]). + if not has_type_vars(template): + # Return early on an empty branch. + return [] + type_state.inferring.append((template, actual)) + res = _infer_constraints(template, actual, direction, skip_neg_op) + type_state.inferring.pop() + return res + return _infer_constraints(template, actual, direction, skip_neg_op) + + +def _infer_constraints( + template: Type, actual: Type, direction: int, skip_neg_op: bool +) -> list[Constraint]: + orig_template = template + template = get_proper_type(template) + actual = get_proper_type(actual) + + # Type inference shouldn't be affected by whether union types have been simplified. + # We however keep any ErasedType items, so that the caller will see it when using + # checkexpr.has_erased_component(). + if isinstance(template, UnionType): + template = mypy.typeops.make_simplified_union(template.items, keep_erased=True) + if isinstance(actual, UnionType): + actual = mypy.typeops.make_simplified_union(actual.items, keep_erased=True) + + # Ignore Any types from the type suggestion engine to avoid them + # causing us to infer Any in situations where a better job could + # be done otherwise. (This can produce false positives but that + # doesn't really matter because it is all heuristic anyway.) + if isinstance(actual, AnyType) and actual.type_of_any == TypeOfAny.suggestion_engine: + return [] + + # type[A | B] is always represented as type[A] | type[B] internally. + # This makes our constraint solver choke on type[T] <: type[A] | type[B], + # solving T as generic meet(A, B) which is often `object`. Force unwrap such unions + # if both sides are type[...] or unions thereof. See `testTypeVarType` test + type_type_unwrapped = False + if _is_type_type(template) and _is_type_type(actual): + type_type_unwrapped = True + template = _unwrap_type_type(template) + actual = _unwrap_type_type(actual) + + # If the template is simply a type variable, emit a Constraint directly. + # We need to handle this case before handling Unions for two reasons: + # 1. "T <: Union[U1, U2]" is not equivalent to "T <: U1 or T <: U2", + # because T can itself be a union (notably, Union[U1, U2] itself). + # 2. "T :> Union[U1, U2]" is logically equivalent to "T :> U1 and + # T :> U2", but they are not equivalent to the constraint solver, + # which never introduces new Union types (it uses join() instead). + if isinstance(template, TypeVarType): + return [Constraint(template, direction, actual)] + + if ( + isinstance(actual, TypeVarType) + and not actual.id.is_meta_var() + and direction == SUPERTYPE_OF + ): + # Unless template is also a type variable (or a union that contains one), using the upper + # bound for inference will usually give better result for actual that is a type variable. + if not isinstance(template, UnionType) or not any( + isinstance(t, TypeVarType) for t in template.items + ): + actual = get_proper_type(actual.upper_bound) + + # Now handle the case of either template or actual being a Union. + # For a Union to be a subtype of another type, every item of the Union + # must be a subtype of that type, so concatenate the constraints. + if direction == SUBTYPE_OF and isinstance(template, UnionType): + res = [] + for t_item in template.items: + res.extend(infer_constraints(t_item, actual, direction)) + return res + if direction == SUPERTYPE_OF and isinstance(actual, UnionType): + res = [] + for a_item in actual.items: + # `orig_template` has to be preserved intact in case it's recursive. + # If we unwrapped ``type[...]`` previously, wrap the item back again, + # as ``type[...]`` can't be removed from `orig_template`. + if type_type_unwrapped: + a_item = TypeType.make_normalized(a_item) + res.extend(infer_constraints(orig_template, a_item, direction)) + return res + + # Now the potential subtype is known not to be a Union or a type + # variable that we are solving for. In that case, for a Union to + # be a supertype of the potential subtype, some item of the Union + # must be a supertype of it. + if direction == SUBTYPE_OF and isinstance(actual, UnionType): + # We infer constraints eagerly -- try to find constraints for a type + # variable if possible. This seems to help with some real-world + # use cases. + return any_constraints( + [ + infer_constraints_if_possible(template, a_item, direction) + for a_item in actual.items + ], + eager=True, + ) + if direction == SUPERTYPE_OF and isinstance(template, UnionType): + # When the template is a union, we are okay with leaving some + # type variables indeterminate. This helps with some special + # cases, though this isn't very principled. + result = any_constraints( + [ + infer_constraints_if_possible(t_item, actual, direction) + for t_item in template.items + ], + eager=isinstance(actual, AnyType), + ) + if result: + return result + elif has_recursive_types(template) and not has_recursive_types(actual): + return handle_recursive_union(template, actual, direction) + return [] + + # Remaining cases are handled by ConstraintBuilderVisitor. + return template.accept(ConstraintBuilderVisitor(actual, direction, skip_neg_op)) + + +def _is_type_type(tp: ProperType) -> TypeGuard[TypeType | UnionType]: + """Is ``tp`` a ``type[...]`` or a union thereof? + + ``Type[A | B]`` is internally represented as ``type[A] | type[B]``, and this + troubles the solver sometimes. + """ + return ( + isinstance(tp, TypeType) + or isinstance(tp, UnionType) + and all(isinstance(get_proper_type(o), TypeType) for o in tp.items) + ) + + +def _unwrap_type_type(tp: TypeType | UnionType) -> ProperType: + """Extract the inner type from ``type[...]`` expression or a union thereof.""" + if isinstance(tp, TypeType): + return tp.item + return UnionType.make_union([cast(TypeType, get_proper_type(o)).item for o in tp.items]) + + +def infer_constraints_if_possible( + template: Type, actual: Type, direction: int +) -> list[Constraint] | None: + """Like infer_constraints, but return None if the input relation is + known to be unsatisfiable, for example if template=List[T] and actual=int. + (In this case infer_constraints would return [], just like it would for + an automatically satisfied relation like template=List[T] and actual=object.) + """ + if direction == SUBTYPE_OF and not mypy.subtypes.is_subtype(erase_typevars(template), actual): + return None + if direction == SUPERTYPE_OF and not mypy.subtypes.is_subtype( + actual, erase_typevars(template) + ): + return None + if ( + direction == SUPERTYPE_OF + and isinstance(template, TypeVarType) + and not mypy.subtypes.is_subtype(actual, erase_typevars(template.upper_bound)) + ): + # This is not caught by the above branch because of the erase_typevars() call, + # that would return 'Any' for a type variable. + return None + return infer_constraints(template, actual, direction) + + +def select_trivial(options: Sequence[list[Constraint] | None]) -> list[list[Constraint]]: + """Select only those lists where each item is a constraint against Any.""" + res = [] + for option in options: + if option is None: + continue + if all(isinstance(get_proper_type(c.target), AnyType) for c in option): + res.append(option) + return res + + +def merge_with_any(constraint: Constraint) -> Constraint: + """Transform a constraint target into a union with given Any type.""" + target = constraint.target + if is_union_with_any(target): + # Do not produce redundant unions. + return constraint + # TODO: if we will support multiple sources Any, use this here instead. + any_type = AnyType(TypeOfAny.implementation_artifact) + return Constraint( + constraint.origin_type_var, + constraint.op, + UnionType.make_union([target, any_type], target.line, target.column), + ) + + +def handle_recursive_union(template: UnionType, actual: Type, direction: int) -> list[Constraint]: + # This is a hack to special-case things like Union[T, Inst[T]] in recursive types. Although + # it is quite arbitrary, it is a relatively common pattern, so we should handle it well. + # This function may be called when inferring against such union resulted in different + # constraints for each item. Normally we give up in such case, but here we instead split + # the union in two parts, and try inferring sequentially. + non_type_var_items = [t for t in template.items if not isinstance(t, TypeVarType)] + type_var_items = [t for t in template.items if isinstance(t, TypeVarType)] + return infer_constraints( + UnionType.make_union(non_type_var_items), actual, direction + ) or infer_constraints(UnionType.make_union(type_var_items), actual, direction) + + +def any_constraints(options: list[list[Constraint] | None], *, eager: bool) -> list[Constraint]: + """Deduce what we can from a collection of constraint lists. + + It's a given that at least one of the lists must be satisfied. A + None element in the list of options represents an unsatisfiable + constraint and is ignored. Ignore empty constraint lists if eager + is true -- they are always trivially satisfiable. + """ + if eager: + valid_options = [option for option in options if option] + else: + valid_options = [option for option in options if option is not None] + + if not valid_options: + return [] + + if len(valid_options) == 1: + return valid_options[0] + + if all(is_same_constraints(valid_options[0], c) for c in valid_options[1:]): + # Multiple sets of constraints that are all the same. Just pick any one of them. + return valid_options[0] + + if all(is_similar_constraints(valid_options[0], c) for c in valid_options[1:]): + # All options have same structure. In this case we can merge-in trivial + # options (i.e. those that only have Any) and try again. + # TODO: More generally, if a given (variable, direction) pair appears in + # every option, combine the bounds with meet/join always, not just for Any. + trivial_options = select_trivial(valid_options) + if trivial_options and len(trivial_options) < len(valid_options): + merged_options = [] + for option in valid_options: + if option in trivial_options: + continue + merged_options.append([merge_with_any(c) for c in option]) + return any_constraints(list(merged_options), eager=eager) + + # If normal logic didn't work, try excluding trivially unsatisfiable constraint (due to + # upper bounds) from each option, and comparing them again. + filtered_options = [filter_satisfiable(o) for o in options] + if filtered_options != options: + return any_constraints(filtered_options, eager=eager) + + # Try harder: if that didn't work, try to strip typevars that aren't meta vars. + # Note this is what we would always do, but unfortunately some callers may not + # set the meta var status correctly (for historical reasons), so we use this as + # a fallback only. + filtered_options = [exclude_non_meta_vars(o) for o in options] + if filtered_options != options: + return any_constraints(filtered_options, eager=eager) + + # Otherwise, there are either no valid options or multiple, inconsistent valid + # options. Give up and deduce nothing. + return [] + + +def filter_satisfiable(option: list[Constraint] | None) -> list[Constraint] | None: + """Keep only constraints that can possibly be satisfied. + + Currently, we filter out constraints where target is not a subtype of the upper bound. + Since those can be never satisfied. We may add more cases in future if it improves type + inference. + """ + if not option: + return option + + satisfiable = [] + for c in option: + if isinstance(c.origin_type_var, TypeVarType) and c.origin_type_var.values: + if any( + mypy.subtypes.is_subtype(c.target, value) for value in c.origin_type_var.values + ): + satisfiable.append(c) + elif mypy.subtypes.is_subtype(c.target, c.origin_type_var.upper_bound): + satisfiable.append(c) + if not satisfiable: + return None + return satisfiable + + +def exclude_non_meta_vars(option: list[Constraint] | None) -> list[Constraint] | None: + # If we had an empty list, keep it intact + if not option: + return option + # However, if none of the options actually references meta vars, better remove + # this constraint entirely. + return [c for c in option if c.type_var.is_meta_var()] or None + + +def is_same_constraints(x: list[Constraint], y: list[Constraint]) -> bool: + for c1 in x: + if not any(is_same_constraint(c1, c2) for c2 in y): + return False + for c1 in y: + if not any(is_same_constraint(c1, c2) for c2 in x): + return False + return True + + +def is_same_constraint(c1: Constraint, c2: Constraint) -> bool: + # Ignore direction when comparing constraints against Any. + skip_op_check = isinstance(get_proper_type(c1.target), AnyType) and isinstance( + get_proper_type(c2.target), AnyType + ) + return ( + c1.type_var == c2.type_var + and (c1.op == c2.op or skip_op_check) + and mypy.subtypes.is_same_type(c1.target, c2.target) + ) + + +def is_similar_constraints(x: list[Constraint], y: list[Constraint]) -> bool: + """Check that two lists of constraints have similar structure. + + This means that each list has same type variable plus direction pairs (i.e we + ignore the target). Except for constraints where target is Any type, there + we ignore direction as well. + """ + return _is_similar_constraints(x, y) and _is_similar_constraints(y, x) + + +def _is_similar_constraints(x: list[Constraint], y: list[Constraint]) -> bool: + """Check that every constraint in the first list has a similar one in the second. + + See docstring above for definition of similarity. + """ + for c1 in x: + has_similar = False + for c2 in y: + # Ignore direction when either constraint is against Any. + skip_op_check = isinstance(get_proper_type(c1.target), AnyType) or isinstance( + get_proper_type(c2.target), AnyType + ) + if c1.type_var == c2.type_var and (c1.op == c2.op or skip_op_check): + has_similar = True + break + if not has_similar: + return False + return True + + +class ConstraintBuilderVisitor(TypeVisitor[list[Constraint]]): + """Visitor class for inferring type constraints.""" + + # The type that is compared against a template + # TODO: The value may be None. Is that actually correct? + actual: ProperType + + def __init__(self, actual: ProperType, direction: int, skip_neg_op: bool) -> None: + # Direction must be SUBTYPE_OF or SUPERTYPE_OF. + self.actual = actual + self.direction = direction + # Whether to skip polymorphic inference (involves inference in opposite direction) + # this is used to prevent infinite recursion when both template and actual are + # generic callables. + self.skip_neg_op = skip_neg_op + + # Trivial leaf types + + def visit_unbound_type(self, template: UnboundType) -> list[Constraint]: + return [] + + def visit_any(self, template: AnyType) -> list[Constraint]: + return [] + + def visit_none_type(self, template: NoneType) -> list[Constraint]: + return [] + + def visit_uninhabited_type(self, template: UninhabitedType) -> list[Constraint]: + return [] + + def visit_erased_type(self, template: ErasedType) -> list[Constraint]: + return [] + + def visit_deleted_type(self, template: DeletedType) -> list[Constraint]: + return [] + + def visit_literal_type(self, template: LiteralType) -> list[Constraint]: + return [] + + # Errors + + def visit_partial_type(self, template: PartialType) -> list[Constraint]: + # We can't do anything useful with a partial type here. + assert False, "Internal error" + + # Non-trivial leaf type + + def visit_type_var(self, template: TypeVarType) -> list[Constraint]: + assert False, ( + "Unexpected TypeVarType in ConstraintBuilderVisitor" + " (should have been handled in infer_constraints)" + ) + + def visit_param_spec(self, template: ParamSpecType) -> list[Constraint]: + # Can't infer ParamSpecs from component values (only via Callable[P, T]). + return [] + + def visit_type_var_tuple(self, template: TypeVarTupleType) -> list[Constraint]: + raise NotImplementedError + + def visit_unpack_type(self, template: UnpackType) -> list[Constraint]: + raise RuntimeError("Mypy bug: unpack should be handled at a higher level.") + + def visit_parameters(self, template: Parameters) -> list[Constraint]: + # Constraining Any against C[P] turns into infer_against_any([P], Any) + if isinstance(self.actual, AnyType): + return self.infer_against_any(template.arg_types, self.actual) + if type_state.infer_polymorphic and isinstance(self.actual, Parameters): + # For polymorphic inference we need to be able to infer secondary constraints + # in situations like [x: T] <: P <: [x: int]. + return infer_callable_arguments_constraints(template, self.actual, self.direction) + if type_state.infer_polymorphic and isinstance(self.actual, ParamSpecType): + # Similar for [x: T] <: Q <: Concatenate[int, P]. + return infer_callable_arguments_constraints( + template, self.actual.prefix, self.direction + ) + # There also may be unpatched types after a user error, simply ignore them. + return [] + + # Non-leaf types + + def visit_instance(self, template: Instance) -> list[Constraint]: + original_actual = actual = self.actual + res: list[Constraint] = [] + if isinstance(actual, (CallableType, Overloaded)) and template.type.is_protocol: + if "__call__" in template.type.protocol_members: + # Special case: a generic callback protocol + if not any(template == t for t in template.type.inferring): + template.type.inferring.append(template) + call = mypy.subtypes.find_member( + "__call__", template, actual, is_operator=True + ) + assert call is not None + if ( + self.direction == SUPERTYPE_OF + and mypy.subtypes.is_subtype(actual, erase_typevars(call)) + or self.direction == SUBTYPE_OF + and mypy.subtypes.is_subtype(erase_typevars(call), actual) + ): + res.extend(infer_constraints(call, actual, self.direction)) + template.type.inferring.pop() + if isinstance(actual, CallableType) and actual.fallback is not None: + if ( + actual.is_type_obj() + and template.type.is_protocol + and self.direction == SUPERTYPE_OF + ): + ret_type = get_proper_type(actual.ret_type) + if isinstance(ret_type, TupleType): + ret_type = mypy.typeops.tuple_fallback(ret_type) + if isinstance(ret_type, Instance): + res.extend( + self.infer_constraints_from_protocol_members( + ret_type, template, ret_type, template, class_obj=True + ) + ) + actual = actual.fallback + if isinstance(actual, TypeType) and template.type.is_protocol: + if self.direction == SUPERTYPE_OF: + a_item = actual.item + if isinstance(a_item, Instance): + res.extend( + self.infer_constraints_from_protocol_members( + a_item, template, a_item, template, class_obj=True + ) + ) + # Infer constraints for Type[T] via metaclass of T when it makes sense. + if isinstance(a_item, TypeVarType): + a_item = get_proper_type(a_item.upper_bound) + if isinstance(a_item, Instance) and a_item.type.metaclass_type: + res.extend( + self.infer_constraints_from_protocol_members( + a_item.type.metaclass_type, template, actual, template + ) + ) + + if isinstance(actual, Overloaded) and actual.fallback is not None: + actual = actual.fallback + if isinstance(actual, TypedDictType): + actual = actual.create_anonymous_fallback() + if isinstance(actual, LiteralType): + actual = actual.fallback + if isinstance(actual, Instance): + instance = actual + erased = erase_typevars(template) + assert isinstance(erased, Instance) # type: ignore[misc] + # We always try nominal inference if possible, + # it is much faster than the structural one. + if self.direction == SUBTYPE_OF and template.type.has_base(instance.type.fullname): + mapped = map_instance_to_supertype(template, instance.type) + tvars = mapped.type.defn.type_vars + + if instance.type.has_type_var_tuple_type: + # Variadic types need special handling to map each type argument to + # the correct corresponding type variable. + assert instance.type.type_var_tuple_prefix is not None + assert instance.type.type_var_tuple_suffix is not None + prefix_len = instance.type.type_var_tuple_prefix + suffix_len = instance.type.type_var_tuple_suffix + tvt = instance.type.defn.type_vars[prefix_len] + assert isinstance(tvt, TypeVarTupleType) + fallback = tvt.tuple_fallback + i_prefix, i_middle, i_suffix = split_with_prefix_and_suffix( + instance.args, prefix_len, suffix_len + ) + m_prefix, m_middle, m_suffix = split_with_prefix_and_suffix( + mapped.args, prefix_len, suffix_len + ) + instance_args = i_prefix + (TupleType(list(i_middle), fallback),) + i_suffix + mapped_args = m_prefix + (TupleType(list(m_middle), fallback),) + m_suffix + else: + mapped_args = mapped.args + instance_args = instance.args + + # N.B: We use zip instead of indexing because the lengths might have + # mismatches during daemon reprocessing. + for tvar, mapped_arg, instance_arg in zip(tvars, mapped_args, instance_args): + if isinstance(tvar, TypeVarType): + # The constraints for generic type parameters depend on variance. + # Include constraints from both directions if invariant. + if tvar.variance != CONTRAVARIANT: + res.extend(infer_constraints(mapped_arg, instance_arg, self.direction)) + if tvar.variance != COVARIANT: + res.extend( + infer_constraints(mapped_arg, instance_arg, neg_op(self.direction)) + ) + elif isinstance(tvar, ParamSpecType) and isinstance(mapped_arg, ParamSpecType): + prefix = mapped_arg.prefix + if isinstance(instance_arg, Parameters): + # No such thing as variance for ParamSpecs, consider them invariant + # TODO: constraints between prefixes using + # infer_callable_arguments_constraints() + suffix: Type = instance_arg.copy_modified( + instance_arg.arg_types[len(prefix.arg_types) :], + instance_arg.arg_kinds[len(prefix.arg_kinds) :], + instance_arg.arg_names[len(prefix.arg_names) :], + ) + res.append(Constraint(mapped_arg, SUBTYPE_OF, suffix)) + res.append(Constraint(mapped_arg, SUPERTYPE_OF, suffix)) + elif isinstance(instance_arg, ParamSpecType): + suffix = instance_arg.copy_modified( + prefix=Parameters( + instance_arg.prefix.arg_types[len(prefix.arg_types) :], + instance_arg.prefix.arg_kinds[len(prefix.arg_kinds) :], + instance_arg.prefix.arg_names[len(prefix.arg_names) :], + ) + ) + res.append(Constraint(mapped_arg, SUBTYPE_OF, suffix)) + res.append(Constraint(mapped_arg, SUPERTYPE_OF, suffix)) + elif isinstance(tvar, TypeVarTupleType): + # Handle variadic type variables covariantly for consistency. + res.extend(infer_constraints(mapped_arg, instance_arg, self.direction)) + + return res + elif self.direction == SUPERTYPE_OF and instance.type.has_base(template.type.fullname): + mapped = map_instance_to_supertype(instance, template.type) + tvars = template.type.defn.type_vars + if template.type.has_type_var_tuple_type: + # Variadic types need special handling to map each type argument to + # the correct corresponding type variable. + assert template.type.type_var_tuple_prefix is not None + assert template.type.type_var_tuple_suffix is not None + prefix_len = template.type.type_var_tuple_prefix + suffix_len = template.type.type_var_tuple_suffix + tvt = template.type.defn.type_vars[prefix_len] + assert isinstance(tvt, TypeVarTupleType) + fallback = tvt.tuple_fallback + t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix( + template.args, prefix_len, suffix_len + ) + m_prefix, m_middle, m_suffix = split_with_prefix_and_suffix( + mapped.args, prefix_len, suffix_len + ) + template_args = t_prefix + (TupleType(list(t_middle), fallback),) + t_suffix + mapped_args = m_prefix + (TupleType(list(m_middle), fallback),) + m_suffix + else: + mapped_args = mapped.args + template_args = template.args + # N.B: We use zip instead of indexing because the lengths might have + # mismatches during daemon reprocessing. + for tvar, mapped_arg, template_arg in zip(tvars, mapped_args, template_args): + if isinstance(tvar, TypeVarType): + # The constraints for generic type parameters depend on variance. + # Include constraints from both directions if invariant. + if tvar.variance != CONTRAVARIANT: + res.extend(infer_constraints(template_arg, mapped_arg, self.direction)) + if tvar.variance != COVARIANT: + res.extend( + infer_constraints(template_arg, mapped_arg, neg_op(self.direction)) + ) + elif isinstance(tvar, ParamSpecType) and isinstance( + template_arg, ParamSpecType + ): + prefix = template_arg.prefix + if isinstance(mapped_arg, Parameters): + # No such thing as variance for ParamSpecs, consider them invariant + # TODO: constraints between prefixes using + # infer_callable_arguments_constraints() + suffix = mapped_arg.copy_modified( + mapped_arg.arg_types[len(prefix.arg_types) :], + mapped_arg.arg_kinds[len(prefix.arg_kinds) :], + mapped_arg.arg_names[len(prefix.arg_names) :], + ) + res.append(Constraint(template_arg, SUBTYPE_OF, suffix)) + res.append(Constraint(template_arg, SUPERTYPE_OF, suffix)) + elif isinstance(mapped_arg, ParamSpecType): + suffix = mapped_arg.copy_modified( + prefix=Parameters( + mapped_arg.prefix.arg_types[len(prefix.arg_types) :], + mapped_arg.prefix.arg_kinds[len(prefix.arg_kinds) :], + mapped_arg.prefix.arg_names[len(prefix.arg_names) :], + ) + ) + res.append(Constraint(template_arg, SUBTYPE_OF, suffix)) + res.append(Constraint(template_arg, SUPERTYPE_OF, suffix)) + elif isinstance(tvar, TypeVarTupleType): + # Consider variadic type variables to be invariant. + res.extend(infer_constraints(template_arg, mapped_arg, SUBTYPE_OF)) + res.extend(infer_constraints(template_arg, mapped_arg, SUPERTYPE_OF)) + return res + if ( + template.type.is_protocol + and self.direction == SUPERTYPE_OF + and + # We avoid infinite recursion for structural subtypes by checking + # whether this type already appeared in the inference chain. + # This is a conservative way to break the inference cycles. + # It never produces any "false" constraints but gives up soon + # on purely structural inference cycles, see #3829. + # Note that we use is_protocol_implementation instead of is_subtype + # because some type may be considered a subtype of a protocol + # due to _promote, but still not implement the protocol. + not any(template == t for t in reversed(template.type.inferring)) + and mypy.subtypes.is_protocol_implementation(instance, erased, skip=["__call__"]) + ): + template.type.inferring.append(template) + res.extend( + self.infer_constraints_from_protocol_members( + instance, template, original_actual, template + ) + ) + template.type.inferring.pop() + return res + elif ( + instance.type.is_protocol + and self.direction == SUBTYPE_OF + and + # We avoid infinite recursion for structural subtypes also here. + not any(instance == i for i in reversed(instance.type.inferring)) + and mypy.subtypes.is_protocol_implementation(erased, instance, skip=["__call__"]) + ): + instance.type.inferring.append(instance) + res.extend( + self.infer_constraints_from_protocol_members( + instance, template, template, instance + ) + ) + instance.type.inferring.pop() + return res + if res: + return res + + if isinstance(actual, AnyType): + return self.infer_against_any(template.args, actual) + if ( + isinstance(actual, TupleType) + and is_named_instance(template, TUPLE_LIKE_INSTANCE_NAMES) + and self.direction == SUPERTYPE_OF + ): + for item in actual.items: + if isinstance(item, UnpackType): + unpacked = get_proper_type(item.type) + if isinstance(unpacked, TypeVarTupleType): + # Cannot infer anything for T from [T, ...] <: *Ts + continue + assert ( + isinstance(unpacked, Instance) + and unpacked.type.fullname == "builtins.tuple" + ) + item = unpacked.args[0] + cb = infer_constraints(template.args[0], item, SUPERTYPE_OF) + res.extend(cb) + return res + elif isinstance(actual, TupleType) and self.direction == SUPERTYPE_OF: + return infer_constraints(template, mypy.typeops.tuple_fallback(actual), self.direction) + elif isinstance(actual, TypeVarType): + if not actual.values and not actual.id.is_meta_var(): + return infer_constraints(template, actual.upper_bound, self.direction) + return [] + elif isinstance(actual, ParamSpecType): + return infer_constraints(template, actual.upper_bound, self.direction) + elif isinstance(actual, TypeVarTupleType): + raise NotImplementedError + else: + return [] + + def infer_constraints_from_protocol_members( + self, + instance: Instance, + template: Instance, + subtype: Type, + protocol: Instance, + class_obj: bool = False, + ) -> list[Constraint]: + """Infer constraints for situations where either 'template' or 'instance' is a protocol. + + The 'protocol' is the one of two that is an instance of protocol type, 'subtype' + is the type used to bind self during inference. Currently, we just infer constrains for + every protocol member type (both ways for settable members). + """ + res = [] + for member in protocol.type.protocol_members: + inst = mypy.subtypes.find_member(member, instance, subtype, class_obj=class_obj) + temp = mypy.subtypes.find_member(member, template, subtype) + if inst is None or temp is None: + if member == "__call__": + continue + return [] # See #11020 + # The above is safe since at this point we know that 'instance' is a subtype + # of (erased) 'template', therefore it defines all protocol members + if class_obj: + # For class objects we must only infer constraints if possible, otherwise it + # can lead to confusion between class and instance, for example StrEnum is + # Iterable[str] for an instance, but Iterable[StrEnum] for a class object. + if not mypy.subtypes.is_subtype( + inst, erase_typevars(temp), ignore_pos_arg_names=True + ): + continue + # This exception matches the one in typeops.py, see PR #14121 for context. + if member == "__call__" and instance.type.is_metaclass(precise=True): + continue + res.extend(infer_constraints(temp, inst, self.direction)) + if mypy.subtypes.IS_SETTABLE in mypy.subtypes.get_member_flags(member, protocol): + # Settable members are invariant, add opposite constraints + res.extend(infer_constraints(temp, inst, neg_op(self.direction))) + return res + + def visit_callable_type(self, template: CallableType) -> list[Constraint]: + # Normalize callables before matching against each other. + # Note that non-normalized callables can be created in annotations + # using e.g. callback protocols. + # TODO: check that callables match? Ideally we should not infer constraints + # callables that can never be subtypes of one another in given direction. + template = template.with_unpacked_kwargs().with_normalized_var_args() + extra_tvars = False + if isinstance(self.actual, CallableType): + res: list[Constraint] = [] + cactual = self.actual.with_unpacked_kwargs().with_normalized_var_args() + param_spec = template.param_spec() + + template_ret_type, cactual_ret_type = template.ret_type, cactual.ret_type + if template.type_guard is not None and cactual.type_guard is not None: + template_ret_type = template.type_guard + cactual_ret_type = cactual.type_guard + + if template.type_is is not None and cactual.type_is is not None: + template_ret_type = template.type_is + cactual_ret_type = cactual.type_is + + res.extend(infer_constraints(template_ret_type, cactual_ret_type, self.direction)) + + if param_spec is None: + # TODO: Erase template variables if it is generic? + if ( + type_state.infer_polymorphic + and cactual.variables + and not self.skip_neg_op + # Technically, the correct inferred type for application of e.g. + # Callable[..., T] -> Callable[..., T] (with literal ellipsis), to a generic + # like U -> U, should be Callable[..., Any], but if U is a self-type, we can + # allow it to leak, to be later bound to self. A bunch of existing code + # depends on this old behaviour. + and not ( + any(tv.id.is_self() for tv in cactual.variables) + and template.is_ellipsis_args + ) + ): + # If the actual callable is generic, infer constraints in the opposite + # direction, and indicate to the solver there are extra type variables + # to solve for (see more details in mypy/solve.py). + res.extend( + infer_constraints( + cactual, template, neg_op(self.direction), skip_neg_op=True + ) + ) + extra_tvars = True + + # We can't infer constraints from arguments if the template is Callable[..., T] + # (with literal '...'). + if not template.is_ellipsis_args: + unpack_present = find_unpack_in_list(template.arg_types) + # When both ParamSpec and TypeVarTuple are present, things become messy + # quickly. For now, we only allow ParamSpec to "capture" TypeVarTuple, + # but not vice versa. + # TODO: infer more from prefixes when possible. + if unpack_present is not None and not cactual.param_spec(): + # We need to re-normalize args to the form they appear in tuples, + # for callables we always pack the suffix inside another tuple. + unpack = template.arg_types[unpack_present] + assert isinstance(unpack, UnpackType) + tuple_type = get_tuple_fallback_from_unpack(unpack) + template_types = repack_callable_args(template, tuple_type) + actual_types = repack_callable_args(cactual, tuple_type) + # Now we can use the same general helper as for tuple types. + unpack_constraints = build_constraints_for_simple_unpack( + template_types, actual_types, neg_op(self.direction) + ) + res.extend(unpack_constraints) + else: + # TODO: do we need some special-casing when unpack is present in actual + # callable but not in template callable? + res.extend( + infer_callable_arguments_constraints(template, cactual, self.direction) + ) + else: + prefix = param_spec.prefix + prefix_len = len(prefix.arg_types) + cactual_ps = cactual.param_spec() + + if type_state.infer_polymorphic and cactual.variables and not self.skip_neg_op: + # Similar logic to the branch above. + res.extend( + infer_constraints( + cactual, template, neg_op(self.direction), skip_neg_op=True + ) + ) + extra_tvars = True + + # Compare prefixes as well + cactual_prefix = cactual.copy_modified( + arg_types=cactual.arg_types[:prefix_len], + arg_kinds=cactual.arg_kinds[:prefix_len], + arg_names=cactual.arg_names[:prefix_len], + ) + res.extend( + infer_callable_arguments_constraints(prefix, cactual_prefix, self.direction) + ) + + param_spec_target: Type | None = None + if not cactual_ps: + max_prefix_len = len([k for k in cactual.arg_kinds if k in (ARG_POS, ARG_OPT)]) + prefix_len = min(prefix_len, max_prefix_len) + param_spec_target = Parameters( + arg_types=cactual.arg_types[prefix_len:], + arg_kinds=cactual.arg_kinds[prefix_len:], + arg_names=cactual.arg_names[prefix_len:], + variables=cactual.variables if not type_state.infer_polymorphic else [], + imprecise_arg_kinds=cactual.imprecise_arg_kinds, + ) + else: + if len(param_spec.prefix.arg_types) <= len(cactual_ps.prefix.arg_types): + param_spec_target = cactual_ps.copy_modified( + prefix=Parameters( + arg_types=cactual_ps.prefix.arg_types[prefix_len:], + arg_kinds=cactual_ps.prefix.arg_kinds[prefix_len:], + arg_names=cactual_ps.prefix.arg_names[prefix_len:], + imprecise_arg_kinds=cactual_ps.prefix.imprecise_arg_kinds, + ) + ) + if param_spec_target is not None: + res.append(Constraint(param_spec, self.direction, param_spec_target)) + if extra_tvars: + for c in res: + c.extra_tvars += cactual.variables + return res + elif isinstance(self.actual, AnyType): + param_spec = template.param_spec() + any_type = AnyType(TypeOfAny.from_another_any, source_any=self.actual) + if param_spec is None: + # FIX what if generic + res = self.infer_against_any(template.arg_types, self.actual) + else: + res = [ + Constraint( + param_spec, + SUBTYPE_OF, + Parameters([any_type, any_type], [ARG_STAR, ARG_STAR2], [None, None]), + ) + ] + res.extend(infer_constraints(template.ret_type, any_type, self.direction)) + return res + elif isinstance(self.actual, Overloaded): + return self.infer_against_overloaded(self.actual, template) + elif isinstance(self.actual, TypeType): + return infer_constraints(template.ret_type, self.actual.item, self.direction) + elif isinstance(self.actual, Instance): + # Instances with __call__ method defined are considered structural + # subtypes of Callable with a compatible signature. + call = mypy.subtypes.find_member( + "__call__", self.actual, self.actual, is_operator=True + ) + if call: + return infer_constraints(template, call, self.direction) + else: + return [] + else: + return [] + + def infer_against_overloaded( + self, overloaded: Overloaded, template: CallableType + ) -> list[Constraint]: + # Create constraints by matching an overloaded type against a template. + # This is tricky to do in general. We cheat by only matching against + # the first overload item that is callable compatible. This + # seems to work somewhat well, but we should really use a more + # reliable technique. + item = find_matching_overload_item(overloaded, template) + return infer_constraints(template, item, self.direction) + + def visit_tuple_type(self, template: TupleType) -> list[Constraint]: + actual = self.actual + unpack_index = find_unpack_in_list(template.items) + is_varlength_tuple = ( + isinstance(actual, Instance) and actual.type.fullname == "builtins.tuple" + ) + + if isinstance(actual, TupleType) or is_varlength_tuple: + res: list[Constraint] = [] + if unpack_index is not None: + if is_varlength_tuple: + # Variadic tuple can be only a supertype of a tuple type, but even if + # direction is opposite, inferring something may give better error messages. + unpack_type = template.items[unpack_index] + assert isinstance(unpack_type, UnpackType) + unpacked_type = get_proper_type(unpack_type.type) + if isinstance(unpacked_type, TypeVarTupleType): + res = [ + Constraint(type_var=unpacked_type, op=self.direction, target=actual) + ] + else: + assert ( + isinstance(unpacked_type, Instance) + and unpacked_type.type.fullname == "builtins.tuple" + ) + res = infer_constraints(unpacked_type, actual, self.direction) + assert isinstance(actual, Instance) # ensured by is_varlength_tuple == True + for i, ti in enumerate(template.items): + if i == unpack_index: + # This one we just handled above. + continue + # For Tuple[T, *Ts, S] <: tuple[X, ...] infer also T <: X and S <: X. + res.extend(infer_constraints(ti, actual.args[0], self.direction)) + return res + else: + assert isinstance(actual, TupleType) + unpack_constraints = build_constraints_for_simple_unpack( + template.items, actual.items, self.direction + ) + actual_items: tuple[Type, ...] = () + template_items: tuple[Type, ...] = () + res.extend(unpack_constraints) + elif isinstance(actual, TupleType): + a_unpack_index = find_unpack_in_list(actual.items) + if a_unpack_index is not None: + # The case where template tuple doesn't have an unpack, but actual tuple + # has an unpack. We can infer something if actual unpack is a variadic tuple. + # Tuple[T, S, U] <: tuple[X, *tuple[Y, ...], Z] => T <: X, S <: Y, U <: Z. + a_unpack = actual.items[a_unpack_index] + assert isinstance(a_unpack, UnpackType) + a_unpacked = get_proper_type(a_unpack.type) + if len(actual.items) + 1 <= len(template.items): + a_prefix_len = a_unpack_index + a_suffix_len = len(actual.items) - a_unpack_index - 1 + t_prefix, t_middle, t_suffix = split_with_prefix_and_suffix( + tuple(template.items), a_prefix_len, a_suffix_len + ) + actual_items = tuple(actual.items[:a_prefix_len]) + if a_suffix_len: + actual_items += tuple(actual.items[-a_suffix_len:]) + template_items = t_prefix + t_suffix + if isinstance(a_unpacked, Instance): + assert a_unpacked.type.fullname == "builtins.tuple" + for tm in t_middle: + res.extend( + infer_constraints(tm, a_unpacked.args[0], self.direction) + ) + else: + actual_items = () + template_items = () + else: + actual_items = tuple(actual.items) + template_items = tuple(template.items) + else: + return res + + # Cases above will return if actual wasn't a TupleType. + assert isinstance(actual, TupleType) + if len(actual_items) == len(template_items): + if ( + actual.partial_fallback.type.is_named_tuple + and template.partial_fallback.type.is_named_tuple + ): + # For named tuples using just the fallbacks usually gives better results. + return res + infer_constraints( + template.partial_fallback, actual.partial_fallback, self.direction + ) + for i in range(len(template_items)): + res.extend( + infer_constraints(template_items[i], actual_items[i], self.direction) + ) + res.extend( + infer_constraints( + template.partial_fallback, actual.partial_fallback, self.direction + ) + ) + return res + elif isinstance(actual, AnyType): + return self.infer_against_any(template.items, actual) + else: + return [] + + def visit_typeddict_type(self, template: TypedDictType) -> list[Constraint]: + actual = self.actual + if isinstance(actual, TypedDictType): + res: list[Constraint] = [] + # NOTE: Non-matching keys are ignored. Compatibility is checked + # elsewhere so this shouldn't be unsafe. + for item_name, template_item_type, actual_item_type in template.zip(actual): + res.extend(infer_constraints(template_item_type, actual_item_type, self.direction)) + return res + elif isinstance(actual, AnyType): + return self.infer_against_any(template.items.values(), actual) + else: + return [] + + def visit_union_type(self, template: UnionType) -> list[Constraint]: + assert False, ( + "Unexpected UnionType in ConstraintBuilderVisitor" + " (should have been handled in infer_constraints)" + ) + + def visit_type_alias_type(self, template: TypeAliasType) -> list[Constraint]: + assert False, f"This should be never called, got {template}" + + def infer_against_any(self, types: Iterable[Type], any_type: AnyType) -> list[Constraint]: + res: list[Constraint] = [] + # Some items may be things like `*Tuple[*Ts, T]` for example from callable types with + # suffix after *arg, so flatten them. + for t in flatten_nested_tuples(types): + if isinstance(t, UnpackType): + if isinstance(t.type, TypeVarTupleType): + res.append(Constraint(t.type, self.direction, any_type)) + else: + unpacked = get_proper_type(t.type) + assert isinstance(unpacked, Instance) + res.extend(infer_constraints(unpacked, any_type, self.direction)) + else: + # Note that we ignore variance and simply always use the + # original direction. This is because for Any targets direction is + # irrelevant in most cases, see e.g. is_same_constraint(). + res.extend(infer_constraints(t, any_type, self.direction)) + return res + + def visit_overloaded(self, template: Overloaded) -> list[Constraint]: + if isinstance(self.actual, CallableType): + items = find_matching_overload_items(template, self.actual) + else: + items = template.items + res: list[Constraint] = [] + for t in items: + res.extend(infer_constraints(t, self.actual, self.direction)) + return res + + def visit_type_type(self, template: TypeType) -> list[Constraint]: + if isinstance(self.actual, CallableType): + return infer_constraints(template.item, self.actual.ret_type, self.direction) + elif isinstance(self.actual, Overloaded): + return infer_constraints(template.item, self.actual.items[0].ret_type, self.direction) + elif isinstance(self.actual, TypeType): + return infer_constraints(template.item, self.actual.item, self.direction) + elif isinstance(self.actual, AnyType): + return infer_constraints(template.item, self.actual, self.direction) + else: + return [] + + +def neg_op(op: int) -> int: + """Map SubtypeOf to SupertypeOf and vice versa.""" + + if op == SUBTYPE_OF: + return SUPERTYPE_OF + elif op == SUPERTYPE_OF: + return SUBTYPE_OF + else: + raise ValueError(f"Invalid operator {op}") + + +def find_matching_overload_item(overloaded: Overloaded, template: CallableType) -> CallableType: + """Disambiguate overload item against a template.""" + items = overloaded.items + for item in items: + # Return type may be indeterminate in the template, so ignore it when performing a + # subtype check. + if mypy.subtypes.is_callable_compatible( + item, + template, + is_compat=mypy.subtypes.is_subtype, + is_proper_subtype=False, + ignore_return=True, + ): + return item + # Fall back to the first item if we can't find a match. This is totally arbitrary -- + # maybe we should just bail out at this point. + return items[0] + + +def find_matching_overload_items( + overloaded: Overloaded, template: CallableType +) -> list[CallableType]: + """Like find_matching_overload_item, but return all matches, not just the first.""" + items = overloaded.items + res = [] + for item in items: + # Return type may be indeterminate in the template, so ignore it when performing a + # subtype check. + if mypy.subtypes.is_callable_compatible( + item, + template, + is_compat=mypy.subtypes.is_subtype, + is_proper_subtype=False, + ignore_return=True, + ): + res.append(item) + if not res: + # Falling back to all items if we can't find a match is pretty arbitrary, but + # it maintains backward compatibility. + res = items.copy() + return res + + +def get_tuple_fallback_from_unpack(unpack: UnpackType) -> TypeInfo: + """Get builtins.tuple type from available types to construct homogeneous tuples.""" + tp = get_proper_type(unpack.type) + if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": + return tp.type + if isinstance(tp, TypeVarTupleType): + return tp.tuple_fallback.type + if isinstance(tp, TupleType): + for base in tp.partial_fallback.type.mro: + if base.fullname == "builtins.tuple": + return base + assert False, "Invalid unpack type" + + +def repack_callable_args(callable: CallableType, tuple_type: TypeInfo) -> list[Type]: + """Present callable with star unpack in a normalized form. + + Since positional arguments cannot follow star argument, they are packed in a suffix, + while prefix is represented as individual positional args. We want to put all in a single + list with unpack in the middle, and prefix/suffix on the sides (as they would appear + in e.g. a TupleType). + """ + if ARG_STAR not in callable.arg_kinds: + return callable.arg_types + star_index = callable.arg_kinds.index(ARG_STAR) + arg_types = callable.arg_types[:star_index] + star_type = callable.arg_types[star_index] + suffix_types = [] + if not isinstance(star_type, UnpackType): + # Re-normalize *args: X -> *args: *tuple[X, ...] + star_type = UnpackType(Instance(tuple_type, [star_type])) + else: + tp = get_proper_type(star_type.type) + if isinstance(tp, TupleType): + assert isinstance(tp.items[0], UnpackType) + star_type = tp.items[0] + suffix_types = tp.items[1:] + return arg_types + [star_type] + suffix_types + + +def build_constraints_for_simple_unpack( + template_args: list[Type], actual_args: list[Type], direction: int +) -> list[Constraint]: + """Infer constraints between two lists of types with variadic items. + + This function is only supposed to be called when a variadic item is present in templates. + If there is no variadic item the actuals, we simply use split_with_prefix_and_suffix() + and infer prefix <: prefix, suffix <: suffix, variadic <: middle. If there is a variadic + item in the actuals we need to be more careful, only common prefix/suffix can generate + constraints, also we can only infer constraints for variadic template item, if template + prefix/suffix are shorter that actual ones, otherwise there may be partial overlap + between variadic items, for example if template prefix is longer: + + templates: T1, T2, Ts, Ts, Ts, ... + actuals: A1, As, As, As, ... + + Note: this function can only be called for builtin variadic constructors: Tuple and Callable. + For instances, you should first find correct type argument mapping. + """ + template_unpack = find_unpack_in_list(template_args) + assert template_unpack is not None + template_prefix = template_unpack + template_suffix = len(template_args) - template_prefix - 1 + + t_unpack = None + res = [] + + actual_unpack = find_unpack_in_list(actual_args) + if actual_unpack is None: + t_unpack = template_args[template_unpack] + if template_prefix + template_suffix > len(actual_args): + # These can't be subtypes of each-other, return fast. + assert isinstance(t_unpack, UnpackType) + if isinstance(t_unpack.type, TypeVarTupleType): + # Set TypeVarTuple to empty to improve error messages. + return [ + Constraint( + t_unpack.type, direction, TupleType([], t_unpack.type.tuple_fallback) + ) + ] + else: + return [] + common_prefix = template_prefix + common_suffix = template_suffix + else: + actual_prefix = actual_unpack + actual_suffix = len(actual_args) - actual_prefix - 1 + common_prefix = min(template_prefix, actual_prefix) + common_suffix = min(template_suffix, actual_suffix) + if actual_prefix >= template_prefix and actual_suffix >= template_suffix: + # This is the only case where we can guarantee there will be no partial overlap + # (note however partial overlap is OK for variadic tuples, it is handled below). + t_unpack = template_args[template_unpack] + + # Handle constraints from prefixes/suffixes first. + start, middle, end = split_with_prefix_and_suffix( + tuple(actual_args), common_prefix, common_suffix + ) + for t, a in zip(template_args[:common_prefix], start): + res.extend(infer_constraints(t, a, direction)) + if common_suffix: + for t, a in zip(template_args[-common_suffix:], end): + res.extend(infer_constraints(t, a, direction)) + + if t_unpack is not None: + # Add constraint(s) for variadic item when possible. + assert isinstance(t_unpack, UnpackType) + tp = get_proper_type(t_unpack.type) + if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": + # Homogeneous case *tuple[T, ...] <: [X, Y, Z, ...]. + for a in middle: + # TODO: should we use union instead of join here? + if not isinstance(a, UnpackType): + res.extend(infer_constraints(tp.args[0], a, direction)) + else: + a_tp = get_proper_type(a.type) + # This is the case *tuple[T, ...] <: *tuple[A, ...]. + if isinstance(a_tp, Instance) and a_tp.type.fullname == "builtins.tuple": + res.extend(infer_constraints(tp.args[0], a_tp.args[0], direction)) + elif isinstance(tp, TypeVarTupleType): + res.append(Constraint(tp, direction, TupleType(list(middle), tp.tuple_fallback))) + elif actual_unpack is not None: + # A special case for a variadic tuple unpack, we simply infer T <: X from + # Tuple[..., *tuple[T, ...], ...] <: Tuple[..., *tuple[X, ...], ...]. + actual_unpack_type = actual_args[actual_unpack] + assert isinstance(actual_unpack_type, UnpackType) + a_unpacked = get_proper_type(actual_unpack_type.type) + if isinstance(a_unpacked, Instance) and a_unpacked.type.fullname == "builtins.tuple": + t_unpack = template_args[template_unpack] + assert isinstance(t_unpack, UnpackType) + tp = get_proper_type(t_unpack.type) + if isinstance(tp, Instance) and tp.type.fullname == "builtins.tuple": + res.extend(infer_constraints(tp.args[0], a_unpacked.args[0], direction)) + return res + + +def infer_directed_arg_constraints(left: Type, right: Type, direction: int) -> list[Constraint]: + """Infer constraints between two arguments using direction between original callables.""" + if isinstance(left, (ParamSpecType, UnpackType)) or isinstance( + right, (ParamSpecType, UnpackType) + ): + # This avoids bogus constraints like T <: P.args + # TODO: can we infer something useful for *T vs P? + return [] + if direction == SUBTYPE_OF: + # We invert direction to account for argument contravariance. + return infer_constraints(left, right, neg_op(direction)) + else: + return infer_constraints(right, left, neg_op(direction)) + + +def infer_callable_arguments_constraints( + template: NormalizedCallableType | Parameters, + actual: NormalizedCallableType | Parameters, + direction: int, +) -> list[Constraint]: + """Infer constraints between argument types of two callables. + + This function essentially extracts four steps from are_parameters_compatible() in + subtypes.py that involve subtype checks between argument types. We keep the argument + matching logic, but ignore various strictness flags present there, and checks that + do not involve subtyping. Then in place of every subtype check we put an infer_constraints() + call for the same types. + """ + res = [] + if direction == SUBTYPE_OF: + left, right = template, actual + else: + left, right = actual, template + left_star = left.var_arg() + left_star2 = left.kw_arg() + right_star = right.var_arg() + right_star2 = right.kw_arg() + + # Numbering of steps below matches the one in are_parameters_compatible() for convenience. + # Phase 1a: compare star vs star arguments. + if left_star is not None and right_star is not None: + res.extend(infer_directed_arg_constraints(left_star.typ, right_star.typ, direction)) + if left_star2 is not None and right_star2 is not None: + res.extend(infer_directed_arg_constraints(left_star2.typ, right_star2.typ, direction)) + + # Phase 1b: compare left args with corresponding non-star right arguments. + for right_arg in right.formal_arguments(): + left_arg = mypy.typeops.callable_corresponding_argument(left, right_arg) + if left_arg is None: + continue + res.extend(infer_directed_arg_constraints(left_arg.typ, right_arg.typ, direction)) + + # Phase 1c: compare left args with right *args. + if right_star is not None: + right_by_position = right.try_synthesizing_arg_from_vararg(None) + assert right_by_position is not None + i = right_star.pos + assert i is not None + while i < len(left.arg_kinds) and left.arg_kinds[i].is_positional(): + left_by_position = left.argument_by_position(i) + assert left_by_position is not None + res.extend( + infer_directed_arg_constraints( + left_by_position.typ, right_by_position.typ, direction + ) + ) + i += 1 + + # Phase 1d: compare left args with right **kwargs. + if right_star2 is not None: + right_names = {name for name in right.arg_names if name is not None} + left_only_names = set() + for name, kind in zip(left.arg_names, left.arg_kinds): + if name is None or kind.is_star() or name in right_names: + continue + left_only_names.add(name) + + right_by_name = right.try_synthesizing_arg_from_kwarg(None) + assert right_by_name is not None + for name in left_only_names: + left_by_name = left.argument_by_name(name) + assert left_by_name is not None + res.extend( + infer_directed_arg_constraints(left_by_name.typ, right_by_name.typ, direction) + ) + return res + + +def filter_imprecise_kinds(cs: list[Constraint]) -> list[Constraint]: + """For each ParamSpec remove all imprecise constraints, if at least one precise available.""" + have_precise = set() + for c in cs: + if not isinstance(c.origin_type_var, ParamSpecType): + continue + if ( + isinstance(c.target, ParamSpecType) + or isinstance(c.target, Parameters) + and not c.target.imprecise_arg_kinds + ): + have_precise.add(c.type_var) + new_cs = [] + for c in cs: + if not isinstance(c.origin_type_var, ParamSpecType) or c.type_var not in have_precise: + new_cs.append(c) + if not isinstance(c.target, Parameters) or not c.target.imprecise_arg_kinds: + new_cs.append(c) + return new_cs diff --git a/micromamba_root/Lib/site-packages/mypy/copytype.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/copytype.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..7220b5e9c09c80fe207737f058879ce07f34abf5 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/copytype.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/copytype.py b/micromamba_root/Lib/site-packages/mypy/copytype.py new file mode 100644 index 0000000000000000000000000000000000000000..9a390a01bdbab4e385c4fc6687695d7d6cced3a6 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/copytype.py @@ -0,0 +1,134 @@ +from __future__ import annotations + +from typing import Any, cast + +from mypy.types import ( + AnyType, + CallableType, + DeletedType, + ErasedType, + Instance, + LiteralType, + NoneType, + Overloaded, + Parameters, + ParamSpecType, + PartialType, + ProperType, + TupleType, + TypeAliasType, + TypedDictType, + TypeType, + TypeVarTupleType, + TypeVarType, + UnboundType, + UninhabitedType, + UnionType, + UnpackType, +) + +# type_visitor needs to be imported after types +from mypy.type_visitor import TypeVisitor # ruff: isort: skip + + +def copy_type(t: ProperType) -> ProperType: + """Create a shallow copy of a type. + + This can be used to mutate the copy with truthiness information. + + Classes compiled with mypyc don't support copy.copy(), so we need + a custom implementation. + """ + return t.accept(TypeShallowCopier()) + + +class TypeShallowCopier(TypeVisitor[ProperType]): + def visit_unbound_type(self, t: UnboundType) -> ProperType: + return t + + def visit_any(self, t: AnyType) -> ProperType: + return self.copy_common(t, AnyType(t.type_of_any, t.source_any, t.missing_import_name)) + + def visit_none_type(self, t: NoneType) -> ProperType: + return self.copy_common(t, NoneType()) + + def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: + dup = UninhabitedType() + dup.ambiguous = t.ambiguous + return self.copy_common(t, dup) + + def visit_erased_type(self, t: ErasedType) -> ProperType: + return self.copy_common(t, ErasedType()) + + def visit_deleted_type(self, t: DeletedType) -> ProperType: + return self.copy_common(t, DeletedType(t.source)) + + def visit_instance(self, t: Instance) -> ProperType: + dup = Instance(t.type, t.args, last_known_value=t.last_known_value) + return self.copy_common(t, dup) + + def visit_type_var(self, t: TypeVarType) -> ProperType: + return self.copy_common(t, t.copy_modified()) + + def visit_param_spec(self, t: ParamSpecType) -> ProperType: + dup = ParamSpecType( + t.name, t.fullname, t.id, t.flavor, t.upper_bound, t.default, prefix=t.prefix + ) + return self.copy_common(t, dup) + + def visit_parameters(self, t: Parameters) -> ProperType: + dup = Parameters( + t.arg_types, + t.arg_kinds, + t.arg_names, + variables=t.variables, + is_ellipsis_args=t.is_ellipsis_args, + ) + return self.copy_common(t, dup) + + def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: + dup = TypeVarTupleType( + t.name, t.fullname, t.id, t.upper_bound, t.tuple_fallback, t.default + ) + return self.copy_common(t, dup) + + def visit_unpack_type(self, t: UnpackType) -> ProperType: + dup = UnpackType(t.type) + return self.copy_common(t, dup) + + def visit_partial_type(self, t: PartialType) -> ProperType: + return self.copy_common(t, PartialType(t.type, t.var, t.value_type)) + + def visit_callable_type(self, t: CallableType) -> ProperType: + return self.copy_common(t, t.copy_modified()) + + def visit_tuple_type(self, t: TupleType) -> ProperType: + return self.copy_common(t, TupleType(t.items, t.partial_fallback, implicit=t.implicit)) + + def visit_typeddict_type(self, t: TypedDictType) -> ProperType: + return self.copy_common( + t, TypedDictType(t.items, t.required_keys, t.readonly_keys, t.fallback) + ) + + def visit_literal_type(self, t: LiteralType) -> ProperType: + return self.copy_common(t, LiteralType(value=t.value, fallback=t.fallback)) + + def visit_union_type(self, t: UnionType) -> ProperType: + return self.copy_common(t, UnionType(t.items)) + + def visit_overloaded(self, t: Overloaded) -> ProperType: + return self.copy_common(t, Overloaded(items=t.items)) + + def visit_type_type(self, t: TypeType) -> ProperType: + # Use cast since the type annotations in TypeType are imprecise. + return self.copy_common(t, TypeType(cast(Any, t.item), is_type_form=t.is_type_form)) + + def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: + assert False, "only ProperTypes supported" + + def copy_common(self, t: ProperType, t2: ProperType) -> ProperType: + t2.line = t.line + t2.column = t.column + t2.can_be_false = t.can_be_false + t2.can_be_true = t.can_be_true + return t2 diff --git a/micromamba_root/Lib/site-packages/mypy/defaults.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/defaults.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..4cc6e3c5518560d2f15d1bcd549c14d83350a32a Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/defaults.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/defaults.py b/micromamba_root/Lib/site-packages/mypy/defaults.py new file mode 100644 index 0000000000000000000000000000000000000000..a39a577d03ac6b680dc2a10cdb595742edab086e --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/defaults.py @@ -0,0 +1,51 @@ +from __future__ import annotations + +import os +from typing import Final + +# Earliest fully supported Python 3.x version. Used as the default Python +# version in tests. Mypy wheels should be built starting with this version, +# and CI tests should be run on this version (and later versions). +PYTHON3_VERSION: Final = (3, 10) + +# Earliest Python 3.x version supported via --python-version 3.x. To run +# mypy, at least version PYTHON3_VERSION is needed. +PYTHON3_VERSION_MIN: Final = (3, 9) # Keep in sync with typeshed's python support + +CACHE_DIR: Final = ".mypy_cache" + +CONFIG_NAMES: Final = ["mypy.ini", ".mypy.ini"] +SHARED_CONFIG_NAMES: Final = ["pyproject.toml", "setup.cfg"] + +USER_CONFIG_FILES: list[str] = ["~/.config/mypy/config", "~/.mypy.ini"] +if os.environ.get("XDG_CONFIG_HOME"): + USER_CONFIG_FILES.insert(0, os.path.join(os.environ["XDG_CONFIG_HOME"], "mypy/config")) +USER_CONFIG_FILES = [os.path.expanduser(f) for f in USER_CONFIG_FILES] + +# This must include all reporters defined in mypy.report. This is defined here +# to make reporter names available without importing mypy.report -- this speeds +# up startup. +REPORTER_NAMES: Final = [ + "linecount", + "any-exprs", + "linecoverage", + "memory-xml", + "cobertura-xml", + "xml", + "xslt-html", + "xslt-txt", + "html", + "txt", + "lineprecision", +] + +# Threshold after which we sometimes filter out most errors to avoid very +# verbose output. The default is to show all errors. +MANY_ERRORS_THRESHOLD: Final = -1 + +RECURSION_LIMIT: Final = 2**14 + +WORKER_START_INTERVAL: Final = 0.01 +WORKER_START_TIMEOUT: Final = 3 +WORKER_CONNECTION_TIMEOUT: Final = 10 +WORKER_DONE_TIMEOUT: Final = 600 diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_os.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/dmypy_os.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..63d2ae5e8b3a2aae47f637064474ea976d6e46cb Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/dmypy_os.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_os.py b/micromamba_root/Lib/site-packages/mypy/dmypy_os.py new file mode 100644 index 0000000000000000000000000000000000000000..184015ffe7203d1ecd313586dccef953bb73621a --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/dmypy_os.py @@ -0,0 +1,43 @@ +from __future__ import annotations + +import sys +from collections.abc import Callable +from typing import Any + +if sys.platform == "win32": + import ctypes + import subprocess + from ctypes.wintypes import DWORD, HANDLE + + PROCESS_QUERY_LIMITED_INFORMATION = ctypes.c_ulong(0x1000) + + kernel32 = ctypes.windll.kernel32 + OpenProcess: Callable[[DWORD, int, int], HANDLE] = kernel32.OpenProcess + GetExitCodeProcess: Callable[[HANDLE, Any], int] = kernel32.GetExitCodeProcess +else: + import os + import signal + + +def alive(pid: int) -> bool: + """Is the process alive?""" + if sys.platform == "win32": + # why can't anything be easy... + status = DWORD() + handle = OpenProcess(PROCESS_QUERY_LIMITED_INFORMATION, 0, pid) + GetExitCodeProcess(handle, ctypes.byref(status)) + return status.value == 259 # STILL_ACTIVE + else: + try: + os.kill(pid, 0) + except OSError: + return False + return True + + +def kill(pid: int) -> None: + """Kill the process.""" + if sys.platform == "win32": + subprocess.check_output(f"taskkill /pid {pid} /f /t") + else: + os.kill(pid, signal.SIGKILL) diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_server.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/dmypy_server.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..6ef463454961fc8030c24254de99320d5e0162fe Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/dmypy_server.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_server.py b/micromamba_root/Lib/site-packages/mypy/dmypy_server.py new file mode 100644 index 0000000000000000000000000000000000000000..5b0e03282a4a6a606af6f6b0ccf9596495f5f037 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/dmypy_server.py @@ -0,0 +1,1126 @@ +"""Server for mypy daemon mode. + +This implements a daemon process which keeps useful state in memory +to enable fine-grained incremental reprocessing of changes. +""" + +from __future__ import annotations + +import argparse +import io +import json +import os +import pickle +import subprocess +import sys +import time +import traceback +from collections.abc import Callable, Sequence, Set as AbstractSet +from contextlib import redirect_stderr, redirect_stdout +from typing import Any, Final, TypeAlias as _TypeAlias + +from librt.base64 import b64encode + +import mypy.build +import mypy.errors +import mypy.main +from mypy.dmypy_util import WriteToConn, receive, send +from mypy.find_sources import InvalidSourceList, create_source_list +from mypy.fscache import FileSystemCache +from mypy.fswatcher import FileData, FileSystemWatcher +from mypy.inspections import InspectionEngine +from mypy.ipc import IPCServer +from mypy.modulefinder import BuildSource, FindModuleCache, SearchPaths, compute_search_paths +from mypy.options import Options +from mypy.server.update import FineGrainedBuildManager, refresh_suppressed_submodules +from mypy.suggestions import SuggestionEngine, SuggestionFailure +from mypy.typestate import reset_global_state +from mypy.util import FancyFormatter, count_stats +from mypy.version import __version__ + +MEM_PROFILE: Final = False # If True, dump memory profile after initialization + +if sys.platform == "win32": + from subprocess import STARTUPINFO + + def daemonize( + options: Options, status_file: str, timeout: int | None = None, log_file: str | None = None + ) -> int: + """Create the daemon process via "dmypy daemon" and pass options via command line + + When creating the daemon grandchild, we create it in a new console, which is + started hidden. We cannot use DETACHED_PROCESS since it will cause console windows + to pop up when starting. See + https://github.com/python/cpython/pull/4150#issuecomment-340215696 + for more on why we can't have nice things. + + It also pickles the options to be unpickled by mypy. + """ + command = [sys.executable, "-m", "mypy.dmypy", "--status-file", status_file, "daemon"] + pickled_options = pickle.dumps(options.snapshot()) + command.append(f'--options-data="{b64encode(pickled_options).decode()}"') + if timeout: + command.append(f"--timeout={timeout}") + if log_file: + command.append(f"--log-file={log_file}") + info = STARTUPINFO() + info.dwFlags = 0x1 # STARTF_USESHOWWINDOW aka use wShowWindow's value + info.wShowWindow = 0 # SW_HIDE aka make the window invisible + try: + subprocess.Popen(command, creationflags=0x10, startupinfo=info) # CREATE_NEW_CONSOLE + return 0 + except subprocess.CalledProcessError as e: + return e.returncode + +else: + + def _daemonize_cb(func: Callable[[], None], log_file: str | None = None) -> int: + """Arrange to call func() in a grandchild of the current process. + + Return 0 for success, exit status for failure, negative if + subprocess killed by signal. + """ + # See https://stackoverflow.com/questions/473620/how-do-you-create-a-daemon-in-python + sys.stdout.flush() + sys.stderr.flush() + pid = os.fork() + if pid: + # Parent process: wait for child in case things go bad there. + npid, sts = os.waitpid(pid, 0) + sig = sts & 0xFF + if sig: + print("Child killed by signal", sig) + return -sig + sts = sts >> 8 + if sts: + print("Child exit status", sts) + return sts + # Child process: do a bunch of UNIX stuff and then fork a grandchild. + try: + os.setsid() # Detach controlling terminal + os.umask(0o27) + devnull = os.open("/dev/null", os.O_RDWR) + os.dup2(devnull, 0) + os.dup2(devnull, 1) + os.dup2(devnull, 2) + os.close(devnull) + pid = os.fork() + if pid: + # Child is done, exit to parent. + os._exit(0) + # Grandchild: run the server. + if log_file: + sys.stdout = sys.stderr = open(log_file, "a", buffering=1) + fd = sys.stdout.fileno() + os.dup2(fd, 2) + os.dup2(fd, 1) + func() + finally: + # Make sure we never get back into the caller. + os._exit(1) + + def daemonize( + options: Options, status_file: str, timeout: int | None = None, log_file: str | None = None + ) -> int: + """Run the mypy daemon in a grandchild of the current process + + Return 0 for success, exit status for failure, negative if + subprocess killed by signal. + """ + return _daemonize_cb(Server(options, status_file, timeout).serve, log_file) + + +# Server code. + +CONNECTION_NAME: Final = "dmypy" + + +def process_start_options(flags: list[str], allow_sources: bool) -> Options: + _, options = mypy.main.process_options( + ["-i"] + flags, require_targets=False, server_options=True + ) + if options.report_dirs: + print("dmypy: Ignoring report generation settings. Start/restart cannot generate reports.") + if options.junit_xml: + print( + "dmypy: Ignoring report generation settings. " + "Start/restart does not support --junit-xml. Pass it to check/recheck instead" + ) + options.junit_xml = None + if not options.incremental: + sys.exit("dmypy: start/restart should not disable incremental mode") + if options.follow_imports not in ("skip", "error", "normal"): + sys.exit("dmypy: follow-imports=silent not supported") + return options + + +def ignore_suppressed_imports(module: str) -> bool: + """Can we skip looking for newly unsuppressed imports to module?""" + # Various submodules of 'encodings' can be suppressed, since it + # uses module-level '__getattr__'. Skip them since there are many + # of them, and following imports to them is kind of pointless. + return module.startswith("encodings.") + + +ModulePathPair: _TypeAlias = tuple[str, str] +ModulePathPairs: _TypeAlias = list[ModulePathPair] +ChangesAndRemovals: _TypeAlias = tuple[ModulePathPairs, ModulePathPairs] + + +class Server: + # NOTE: the instance is constructed in the parent process but + # serve() is called in the grandchild (by daemonize()). + + def __init__(self, options: Options, status_file: str, timeout: int | None = None) -> None: + """Initialize the server with the desired mypy flags.""" + self.options = options + # Snapshot the options info before we muck with it, to detect changes + self.options_snapshot = options.snapshot() + self.timeout = timeout + self.fine_grained_manager: FineGrainedBuildManager | None = None + + if os.path.isfile(status_file): + os.unlink(status_file) + + self.fscache = FileSystemCache() + + options.raise_exceptions = True + options.incremental = True + options.fine_grained_incremental = True + options.show_traceback = True + if options.use_fine_grained_cache: + # Using fine_grained_cache implies generating and caring + # about the fine grained cache + options.cache_fine_grained = True + else: + options.cache_dir = os.devnull + # Fine-grained incremental doesn't support general partial types + # (details in https://github.com/python/mypy/issues/4492) + options.local_partial_types = True + self.status_file = status_file + + # Since the object is created in the parent process we can check + # the output terminal options here. + self.formatter = FancyFormatter(sys.stdout, sys.stderr, options.hide_error_codes) + + def _response_metadata(self) -> dict[str, str]: + py_version = f"{self.options.python_version[0]}_{self.options.python_version[1]}" + return {"platform": self.options.platform, "python_version": py_version} + + def serve(self) -> None: + """Serve requests, synchronously (no thread or fork).""" + + command = None + server = IPCServer(CONNECTION_NAME, self.timeout) + orig_stdout = sys.stdout + orig_stderr = sys.stderr + + try: + with open(self.status_file, "w") as f: + json.dump({"pid": os.getpid(), "connection_name": server.connection_name}, f) + f.write("\n") # I like my JSON with a trailing newline + while True: + with server: + data = receive(server) + sys.stdout = WriteToConn(server, "stdout", sys.stdout.isatty()) + sys.stderr = WriteToConn(server, "stderr", sys.stderr.isatty()) + resp: dict[str, Any] = {} + if "command" not in data: + resp = {"error": "No command found in request"} + else: + command = data["command"] + if not isinstance(command, str): + resp = {"error": "Command is not a string"} + else: + command = data.pop("command") + try: + resp = self.run_command(command, data) + except Exception: + # If we are crashing, report the crash to the client + tb = traceback.format_exception(*sys.exc_info()) + resp = {"error": "Daemon crashed!\n" + "".join(tb)} + resp.update(self._response_metadata()) + resp["final"] = True + send(server, resp) + raise + resp["final"] = True + try: + resp.update(self._response_metadata()) + send(server, resp) + except OSError: + pass # Maybe the client hung up + if command == "stop": + reset_global_state() + sys.exit(0) + finally: + # Revert stdout/stderr so we can see any errors. + sys.stdout = orig_stdout + sys.stderr = orig_stderr + + # If the final command is something other than a clean + # stop, remove the status file. (We can't just + # simplify the logic and always remove the file, since + # that could cause us to remove a future server's + # status file.) + if command != "stop": + os.unlink(self.status_file) + try: + server.cleanup() # try to remove the socket dir on Linux + except OSError: + pass + exc_info = sys.exc_info() + if exc_info[0] and exc_info[0] is not SystemExit: + traceback.print_exception(*exc_info) + + def run_command(self, command: str, data: dict[str, object]) -> dict[str, object]: + """Run a specific command from the registry.""" + key = "cmd_" + command + method = getattr(self.__class__, key, None) + if method is None: + return {"error": f"Unrecognized command '{command}'"} + else: + if command not in {"check", "recheck", "run"}: + # Only the above commands use some error formatting. + del data["is_tty"] + del data["terminal_width"] + ret = method(self, **data) + assert isinstance(ret, dict) + return ret + + # Command functions (run in the server via RPC). + + def cmd_status(self, fswatcher_dump_file: str | None = None) -> dict[str, object]: + """Return daemon status.""" + res: dict[str, object] = {} + res.update(get_meminfo()) + if fswatcher_dump_file: + data = self.fswatcher.dump_file_data() if hasattr(self, "fswatcher") else {} + # Using .dumps and then writing was noticeably faster than using dump + s = json.dumps(data) + with open(fswatcher_dump_file, "w") as f: + f.write(s) + return res + + def cmd_stop(self) -> dict[str, object]: + """Stop daemon.""" + # We need to remove the status file *before* we complete the + # RPC. Otherwise a race condition exists where a subsequent + # command can see a status file from a dying server and think + # it is a live one. + os.unlink(self.status_file) + return {} + + def cmd_run( + self, + version: str, + args: Sequence[str], + export_types: bool, + is_tty: bool, + terminal_width: int, + ) -> dict[str, object]: + """Check a list of files, triggering a restart if needed.""" + stderr = io.StringIO() + stdout = io.StringIO() + try: + # Process options can exit on improper arguments, so we need to catch that and + # capture stderr so the client can report it + with redirect_stderr(stderr): + with redirect_stdout(stdout): + sources, options = mypy.main.process_options( + ["-i"] + list(args), + require_targets=True, + server_options=True, + fscache=self.fscache, + program="mypy-daemon", + header=argparse.SUPPRESS, + ) + # Signal that we need to restart if the options have changed + if not options.compare_stable(self.options_snapshot): + return {"restart": "configuration changed"} + if __version__ != version: + return {"restart": "mypy version changed"} + if self.fine_grained_manager: + manager = self.fine_grained_manager.manager + start_plugins_snapshot = manager.plugins_snapshot + _, current_plugins_snapshot = mypy.build.load_plugins( + options, manager.errors, sys.stdout, extra_plugins=() + ) + if current_plugins_snapshot != start_plugins_snapshot: + return {"restart": "plugins changed"} + except InvalidSourceList as err: + return {"out": "", "err": str(err), "status": 2} + except SystemExit as e: + return {"out": stdout.getvalue(), "err": stderr.getvalue(), "status": e.code} + return self.check(sources, export_types, is_tty, terminal_width) + + def cmd_check( + self, files: Sequence[str], export_types: bool, is_tty: bool, terminal_width: int + ) -> dict[str, object]: + """Check a list of files.""" + try: + sources = create_source_list(files, self.options, self.fscache) + except InvalidSourceList as err: + return {"out": "", "err": str(err), "status": 2} + return self.check(sources, export_types, is_tty, terminal_width) + + def cmd_recheck( + self, + is_tty: bool, + terminal_width: int, + export_types: bool, + remove: list[str] | None = None, + update: list[str] | None = None, + ) -> dict[str, object]: + """Check the same list of files we checked most recently. + + If remove/update is given, they modify the previous list; + if all are None, stat() is called for each file in the previous list. + """ + t0 = time.time() + if not self.fine_grained_manager: + return {"error": "Command 'recheck' is only valid after a 'check' command"} + sources = self.previous_sources + if remove: + removals = set(remove) + sources = [s for s in sources if s.path and s.path not in removals] + if update: + # Sort list of file updates by extension, so *.pyi files are first. + update.sort(key=lambda f: os.path.splitext(f)[1], reverse=True) + + known = {s.path for s in sources if s.path} + added = [p for p in update if p not in known] + try: + added_sources = create_source_list(added, self.options, self.fscache) + except InvalidSourceList as err: + return {"out": "", "err": str(err), "status": 2} + sources = sources + added_sources # Make a copy! + t1 = time.time() + manager = self.fine_grained_manager.manager + manager.log(f"fine-grained increment: cmd_recheck: {t1 - t0:.3f}s") + old_export_types = self.options.export_types + self.options.export_types = self.options.export_types or export_types + if not self.following_imports(): + messages = self.fine_grained_increment( + sources, remove, update, explicit_export_types=export_types + ) + else: + assert remove is None and update is None + messages = self.fine_grained_increment_follow_imports( + sources, explicit_export_types=export_types + ) + res = self.increment_output(messages, sources, is_tty, terminal_width) + self.flush_caches() + self.update_stats(res) + self.options.export_types = old_export_types + return res + + def check( + self, sources: list[BuildSource], export_types: bool, is_tty: bool, terminal_width: int + ) -> dict[str, Any]: + """Check using fine-grained incremental mode. + + If is_tty is True format the output nicely with colors and summary line + (unless disabled in self.options). Also pass the terminal_width to formatter. + """ + old_export_types = self.options.export_types + self.options.export_types = self.options.export_types or export_types + if not self.fine_grained_manager: + res = self.initialize_fine_grained(sources, is_tty, terminal_width) + else: + if not self.following_imports(): + messages = self.fine_grained_increment(sources, explicit_export_types=export_types) + else: + messages = self.fine_grained_increment_follow_imports( + sources, explicit_export_types=export_types + ) + res = self.increment_output(messages, sources, is_tty, terminal_width) + self.flush_caches() + self.update_stats(res) + self.options.export_types = old_export_types + return res + + def flush_caches(self) -> None: + self.fscache.flush() + if self.fine_grained_manager: + self.fine_grained_manager.flush_cache() + + def update_stats(self, res: dict[str, Any]) -> None: + if self.fine_grained_manager: + manager = self.fine_grained_manager.manager + manager.dump_stats() + res["stats"] = manager.stats + manager.stats = {} + + def following_imports(self) -> bool: + """Are we following imports?""" + # TODO: What about silent? + return self.options.follow_imports == "normal" + + def initialize_fine_grained( + self, sources: list[BuildSource], is_tty: bool, terminal_width: int + ) -> dict[str, Any]: + self.fswatcher = FileSystemWatcher(self.fscache) + t0 = time.time() + self.update_sources(sources) + t1 = time.time() + try: + result = mypy.build.build(sources=sources, options=self.options, fscache=self.fscache) + except mypy.errors.CompileError as e: + output = "".join(s + "\n" for s in e.messages) + if e.use_stdout: + out, err = output, "" + else: + out, err = "", output + return {"out": out, "err": err, "status": 2} + messages = result.errors + self.fine_grained_manager = FineGrainedBuildManager(result) + + original_sources_len = len(sources) + if self.following_imports(): + sources = find_all_sources_in_build(self.fine_grained_manager.graph, sources) + self.update_sources(sources) + + self.previous_sources = sources + + # If we are using the fine-grained cache, build hasn't actually done + # the typechecking on the updated files yet. + # Run a fine-grained update starting from the cached data + if result.used_cache: + t2 = time.time() + # Pull times and hashes out of the saved_cache and stick them into + # the fswatcher, so we pick up the changes. + for state in self.fine_grained_manager.graph.values(): + meta = state.meta + if meta is None: + continue + assert state.path is not None + self.fswatcher.set_file_data( + state.path, + FileData(st_mtime=float(meta.mtime), st_size=meta.size, hash=meta.hash), + ) + + changed, removed = self.find_changed(sources) + changed += self.find_added_suppressed( + self.fine_grained_manager.graph, + set(), + self.fine_grained_manager.manager.search_paths, + ) + + # Find anything that has had its dependency list change + for state in self.fine_grained_manager.graph.values(): + if not state.is_fresh(): + assert state.path is not None + changed.append((state.id, state.path)) + + t3 = time.time() + # Run an update + messages = self.fine_grained_manager.update(changed, removed) + + if self.following_imports(): + # We need to do another update to any new files found by following imports. + messages = self.fine_grained_increment_follow_imports(sources) + + t4 = time.time() + self.fine_grained_manager.manager.add_stats( + update_sources_time=t1 - t0, + build_time=t2 - t1, + find_changes_time=t3 - t2, + fg_update_time=t4 - t3, + files_changed=len(removed) + len(changed), + ) + + else: + # Stores the initial state of sources as a side effect. + self.fswatcher.find_changed() + + if MEM_PROFILE: + from mypy.memprofile import print_memory_profile + + print_memory_profile(run_gc=False) + + __, n_notes, __ = count_stats(messages) + status = 1 if messages and n_notes < len(messages) else 0 + # We use explicit sources length to match the logic in non-incremental mode. + messages = self.pretty_messages(messages, original_sources_len, is_tty, terminal_width) + return {"out": "".join(s + "\n" for s in messages), "err": "", "status": status} + + def fine_grained_increment( + self, + sources: list[BuildSource], + remove: list[str] | None = None, + update: list[str] | None = None, + explicit_export_types: bool = False, + ) -> list[str]: + """Perform a fine-grained type checking increment. + + If remove and update are None, determine changed paths by using + fswatcher. Otherwise, assume that only these files have changes. + + Args: + sources: sources passed on the command line + remove: paths of files that have been removed + update: paths of files that have been changed or created + explicit_export_types: --export-type was passed in a check command + (as opposite to being set in dmypy start) + """ + assert self.fine_grained_manager is not None + manager = self.fine_grained_manager.manager + + t0 = time.time() + if remove is None and update is None: + # Use the fswatcher to determine which files were changed + # (updated or added) or removed. + self.update_sources(sources) + changed, removed = self.find_changed(sources) + else: + # Use the remove/update lists to update fswatcher. + # This avoids calling stat() for unchanged files. + changed, removed = self.update_changed(sources, remove or [], update or []) + if explicit_export_types: + # If --export-types is given, we need to force full re-checking of all + # explicitly passed files, since we need to visit each expression. + add_all_sources_to_changed(sources, changed) + changed += self.find_added_suppressed( + self.fine_grained_manager.graph, set(), manager.search_paths + ) + manager.search_paths = compute_search_paths(sources, manager.options, manager.data_dir) + t1 = time.time() + manager.log(f"fine-grained increment: find_changed: {t1 - t0:.3f}s") + messages = self.fine_grained_manager.update(changed, removed) + t2 = time.time() + manager.log(f"fine-grained increment: update: {t2 - t1:.3f}s") + manager.add_stats( + find_changes_time=t1 - t0, + fg_update_time=t2 - t1, + files_changed=len(removed) + len(changed), + ) + + self.previous_sources = sources + return messages + + def fine_grained_increment_follow_imports( + self, sources: list[BuildSource], explicit_export_types: bool = False + ) -> list[str]: + """Like fine_grained_increment, but follow imports.""" + t0 = time.time() + + # TODO: Support file events + + assert self.fine_grained_manager is not None + fine_grained_manager = self.fine_grained_manager + graph = fine_grained_manager.graph + manager = fine_grained_manager.manager + + orig_modules = list(graph.keys()) + + self.update_sources(sources) + changed_paths = self.fswatcher.find_changed() + manager.search_paths = compute_search_paths(sources, manager.options, manager.data_dir) + + t1 = time.time() + manager.log(f"fine-grained increment: find_changed: {t1 - t0:.3f}s") + + # Track all modules encountered so far. New entries for all dependencies + # are added below by other module finding methods below. All dependencies + # in graph but not in `seen` are considered deleted at the end of this method. + seen = {source.module for source in sources} + + # Find changed modules reachable from roots (or in roots) already in graph. + changed, new_files = self.find_reachable_changed_modules( + sources, graph, seen, changed_paths + ) + # Same as in fine_grained_increment(). + self.add_explicitly_new(sources, changed) + if explicit_export_types: + # Same as in fine_grained_increment(). + add_all_sources_to_changed(sources, changed) + sources.extend(new_files) + + # Process changes directly reachable from roots. + messages = fine_grained_manager.update(changed, [], followed=True) + + # Follow deps from changed modules (still within graph). + worklist = changed.copy() + while worklist: + module = worklist.pop() + if module[0] not in graph: + continue + sources2 = self.direct_imports(module, graph) + # Filter anything already seen before. This prevents + # infinite looping if there are any self edges. (Self + # edges are maybe a bug, but...) + sources2 = [source for source in sources2 if source.module not in seen] + changed, new_files = self.find_reachable_changed_modules( + sources2, graph, seen, changed_paths + ) + self.update_sources(new_files) + messages = fine_grained_manager.update(changed, [], followed=True) + worklist.extend(changed) + + t2 = time.time() + + def refresh_file(module: str, path: str) -> list[str]: + return fine_grained_manager.update([(module, path)], [], followed=True) + + for module_id, state in list(graph.items()): + new_messages = refresh_suppressed_submodules( + module_id, state.path, fine_grained_manager.deps, graph, self.fscache, refresh_file + ) + if new_messages is not None: + messages = new_messages + + t3 = time.time() + + # There may be new files that became available, currently treated as + # suppressed imports. Process them. + while True: + new_unsuppressed = self.find_added_suppressed(graph, seen, manager.search_paths) + if not new_unsuppressed: + break + new_files = [BuildSource(mod[1], mod[0], followed=True) for mod in new_unsuppressed] + sources.extend(new_files) + self.update_sources(new_files) + messages = fine_grained_manager.update(new_unsuppressed, [], followed=True) + + for module_id, path in new_unsuppressed: + new_messages = refresh_suppressed_submodules( + module_id, path, fine_grained_manager.deps, graph, self.fscache, refresh_file + ) + if new_messages is not None: + messages = new_messages + + t4 = time.time() + + # Find all original modules in graph that were not reached -- they are deleted. + to_delete = [] + for module_id in orig_modules: + if module_id not in graph: + continue + if module_id not in seen: + module_path = graph[module_id].path + assert module_path is not None + to_delete.append((module_id, module_path)) + if to_delete: + messages = fine_grained_manager.update([], to_delete) + + fix_module_deps(graph) + + self.previous_sources = find_all_sources_in_build(graph) + self.update_sources(self.previous_sources) + + # Store current file state as side effect + self.fswatcher.find_changed() + + t5 = time.time() + + manager.log(f"fine-grained increment: update: {t5 - t1:.3f}s") + manager.add_stats( + find_changes_time=t1 - t0, + fg_update_time=t2 - t1, + refresh_suppressed_time=t3 - t2, + find_added_suppressed_time=t4 - t3, + cleanup_time=t5 - t4, + ) + + return messages + + def find_reachable_changed_modules( + self, + roots: list[BuildSource], + graph: mypy.build.Graph, + seen: set[str], + changed_paths: AbstractSet[str], + ) -> tuple[list[tuple[str, str]], list[BuildSource]]: + """Follow imports within graph from given sources until hitting changed modules. + + If we find a changed module, we can't continue following imports as the imports + may have changed. + + Args: + roots: modules where to start search from + graph: module graph to use for the search + seen: modules we've seen before that won't be visited (mutated here!!). + Needed to accumulate all modules encountered during update and remove + everything that no longer exists. + changed_paths: which paths have changed (stop search here and return any found) + + Return (encountered reachable changed modules, + unchanged files not in sources_set traversed). + """ + changed = [] + new_files = [] + worklist = roots.copy() + seen.update(source.module for source in worklist) + while worklist: + nxt = worklist.pop() + if nxt.module not in seen: + seen.add(nxt.module) + new_files.append(nxt) + if nxt.path in changed_paths: + assert nxt.path is not None # TODO + changed.append((nxt.module, nxt.path)) + elif nxt.module in graph: + state = graph[nxt.module] + ancestors = state.ancestors or [] + for dep in state.dependencies + ancestors: + if dep not in seen: + seen.add(dep) + worklist.append(BuildSource(graph[dep].path, graph[dep].id, followed=True)) + return changed, new_files + + def direct_imports( + self, module: tuple[str, str], graph: mypy.build.Graph + ) -> list[BuildSource]: + """Return the direct imports of module not included in seen.""" + state = graph[module[0]] + return [BuildSource(graph[dep].path, dep, followed=True) for dep in state.dependencies] + + def find_added_suppressed( + self, graph: mypy.build.Graph, seen: set[str], search_paths: SearchPaths + ) -> list[tuple[str, str]]: + """Find suppressed modules that have been added (and not included in seen). + + Args: + seen: reachable modules we've seen before (mutated here!!). + Needed to accumulate all modules encountered during update and remove + everything that no longer exists. + + Return suppressed, added modules. + """ + all_suppressed = set() + for state in graph.values(): + all_suppressed |= state.suppressed_set + + # Filter out things that shouldn't actually be considered suppressed. + # + # TODO: Figure out why these are treated as suppressed + all_suppressed = { + module + for module in all_suppressed + if module not in graph and not ignore_suppressed_imports(module) + } + + # Optimization: skip top-level packages that are obviously not + # there, to avoid calling the relatively slow find_module() + # below too many times. + packages = {module.split(".", 1)[0] for module in all_suppressed} + packages = filter_out_missing_top_level_packages(packages, search_paths, self.fscache) + + # TODO: Namespace packages + + finder = FindModuleCache(search_paths, self.fscache, self.options) + + found = [] + + for module in all_suppressed: + top_level_pkg = module.split(".", 1)[0] + if top_level_pkg not in packages: + # Fast path: non-existent top-level package + continue + result = finder.find_module(module, fast_path=True) + if isinstance(result, str) and module not in seen: + # When not following imports, we only follow imports to .pyi files. + if not self.following_imports() and not result.endswith(".pyi"): + continue + found.append((module, result)) + seen.add(module) + + return found + + def increment_output( + self, messages: list[str], sources: list[BuildSource], is_tty: bool, terminal_width: int + ) -> dict[str, Any]: + status = 1 if messages else 0 + messages = self.pretty_messages(messages, len(sources), is_tty, terminal_width) + return {"out": "".join(s + "\n" for s in messages), "err": "", "status": status} + + def pretty_messages( + self, + messages: list[str], + n_sources: int, + is_tty: bool = False, + terminal_width: int | None = None, + ) -> list[str]: + use_color = self.options.color_output and is_tty + fit_width = self.options.pretty and is_tty + if fit_width: + messages = self.formatter.fit_in_terminal( + messages, fixed_terminal_width=terminal_width + ) + if self.options.error_summary: + summary: str | None = None + n_errors, n_notes, n_files = count_stats(messages) + if n_errors: + summary = self.formatter.format_error( + n_errors, n_files, n_sources, use_color=use_color + ) + elif not messages or n_notes == len(messages): + summary = self.formatter.format_success(n_sources, use_color) + if summary: + # Create new list to avoid appending multiple summaries on successive runs. + messages = messages + [summary] + if use_color: + messages = [self.formatter.colorize(m) for m in messages] + return messages + + def update_sources(self, sources: list[BuildSource]) -> None: + paths = [source.path for source in sources if source.path is not None] + if self.following_imports(): + # Filter out directories (used for namespace packages). + paths = [path for path in paths if self.fscache.isfile(path)] + self.fswatcher.add_watched_paths(paths) + + def update_changed( + self, sources: list[BuildSource], remove: list[str], update: list[str] + ) -> ChangesAndRemovals: + changed_paths = self.fswatcher.update_changed(remove, update) + return self._find_changed(sources, changed_paths) + + def find_changed(self, sources: list[BuildSource]) -> ChangesAndRemovals: + changed_paths = self.fswatcher.find_changed() + return self._find_changed(sources, changed_paths) + + def _find_changed( + self, sources: list[BuildSource], changed_paths: AbstractSet[str] + ) -> ChangesAndRemovals: + # Find anything that has been added or modified + changed = [ + (source.module, source.path) + for source in sources + if source.path and source.path in changed_paths + ] + + # Now find anything that has been removed from the build + modules = {source.module for source in sources} + omitted = [source for source in self.previous_sources if source.module not in modules] + removed = [] + for source in omitted: + path = source.path + assert path + removed.append((source.module, path)) + + self.add_explicitly_new(sources, changed) + + # Find anything that has had its module path change because of added or removed __init__s + last = {s.path: s.module for s in self.previous_sources} + for s in sources: + assert s.path + if s.path in last and last[s.path] != s.module: + # Mark it as removed from its old name and changed at its new name + removed.append((last[s.path], s.path)) + changed.append((s.module, s.path)) + + return changed, removed + + def add_explicitly_new( + self, sources: list[BuildSource], changed: list[tuple[str, str]] + ) -> None: + # Always add modules that were (re-)added, since they may be detected as not changed by + # fswatcher (if they were actually not changed), but they may still need to be checked + # in case they had errors before they were deleted from sources on previous runs. + previous_modules = {source.module for source in self.previous_sources} + changed_set = set(changed) + changed.extend( + [ + (source.module, source.path) + for source in sources + if source.path + and source.module not in previous_modules + and (source.module, source.path) not in changed_set + ] + ) + + def cmd_inspect( + self, + show: str, + location: str, + verbosity: int = 0, + limit: int = 0, + include_span: bool = False, + include_kind: bool = False, + include_object_attrs: bool = False, + union_attrs: bool = False, + force_reload: bool = False, + ) -> dict[str, object]: + """Locate and inspect expression(s).""" + if not self.fine_grained_manager: + return { + "error": 'Command "inspect" is only valid after a "check" command' + " (that produces no parse errors)" + } + engine = InspectionEngine( + self.fine_grained_manager, + verbosity=verbosity, + limit=limit, + include_span=include_span, + include_kind=include_kind, + include_object_attrs=include_object_attrs, + union_attrs=union_attrs, + force_reload=force_reload, + ) + old_inspections = self.options.inspections + self.options.inspections = True + try: + if show == "type": + result = engine.get_type(location) + elif show == "attrs": + result = engine.get_attrs(location) + elif show == "definition": + result = engine.get_definition(location) + else: + assert False, "Unknown inspection kind" + finally: + self.options.inspections = old_inspections + if "out" in result: + assert isinstance(result["out"], str) + result["out"] += "\n" + return result + + def cmd_suggest(self, function: str, callsites: bool, **kwargs: Any) -> dict[str, object]: + """Suggest a signature for a function.""" + if not self.fine_grained_manager: + return { + "error": "Command 'suggest' is only valid after a 'check' command" + " (that produces no parse errors)" + } + engine = SuggestionEngine(self.fine_grained_manager, **kwargs) + try: + if callsites: + out = engine.suggest_callsites(function) + else: + out = engine.suggest(function) + except SuggestionFailure as err: + return {"error": str(err)} + else: + if not out: + out = "No suggestions\n" + elif not out.endswith("\n"): + out += "\n" + return {"out": out, "err": "", "status": 0} + finally: + self.flush_caches() + + def cmd_hang(self) -> dict[str, object]: + """Hang for 100 seconds, as a debug hack.""" + time.sleep(100) + return {} + + +# Misc utilities. + + +MiB: Final = 2**20 + + +def get_meminfo() -> dict[str, Any]: + res: dict[str, Any] = {} + try: + import psutil + except ImportError: + res["memory_psutil_missing"] = ( + "psutil not found, run pip install mypy[dmypy] " + "to install the needed components for dmypy" + ) + else: + process = psutil.Process() + meminfo = process.memory_info() + res["memory_rss_mib"] = meminfo.rss / MiB + res["memory_vms_mib"] = meminfo.vms / MiB + if sys.platform == "win32": + res["memory_maxrss_mib"] = meminfo.peak_wset / MiB + else: + # See https://stackoverflow.com/questions/938733/total-memory-used-by-python-process + import resource # Since it doesn't exist on Windows. + + rusage = resource.getrusage(resource.RUSAGE_SELF) + if sys.platform == "darwin": + factor = 1 + else: + factor = 1024 # Linux + res["memory_maxrss_mib"] = rusage.ru_maxrss * factor / MiB + return res + + +def find_all_sources_in_build( + graph: mypy.build.Graph, extra: Sequence[BuildSource] = () +) -> list[BuildSource]: + result = list(extra) + seen = {source.module for source in result} + for module, state in graph.items(): + if module not in seen: + result.append(BuildSource(state.path, module)) + return result + + +def add_all_sources_to_changed(sources: list[BuildSource], changed: list[tuple[str, str]]) -> None: + """Add all (explicit) sources to the list changed files in place. + + Use this when re-processing of unchanged files is needed (e.g. for + the purpose of exporting types for inspections). + """ + changed_set = set(changed) + changed.extend( + [ + (bs.module, bs.path) + for bs in sources + if bs.path and (bs.module, bs.path) not in changed_set + ] + ) + + +def fix_module_deps(graph: mypy.build.Graph) -> None: + """After an incremental update, update module dependencies to reflect the new state. + + This can make some suppressed dependencies non-suppressed, and vice versa (if modules + have been added to or removed from the build). + """ + for state in graph.values(): + new_suppressed = [] + new_dependencies = [] + for dep in state.dependencies + state.suppressed: + if dep in graph: + new_dependencies.append(dep) + else: + new_suppressed.append(dep) + state.dependencies = new_dependencies + state.dependencies_set = set(new_dependencies) + state.suppressed = new_suppressed + state.suppressed_set = set(new_suppressed) + + +def filter_out_missing_top_level_packages( + packages: set[str], search_paths: SearchPaths, fscache: FileSystemCache +) -> set[str]: + """Quickly filter out obviously missing top-level packages. + + Return packages with entries that can't be found removed. + + This is approximate: some packages that aren't actually valid may be + included. However, all potentially valid packages must be returned. + """ + # Start with a empty set and add all potential top-level packages. + found = set() + paths = ( + search_paths.python_path + + search_paths.mypy_path + + search_paths.package_path + + search_paths.typeshed_path + ) + for p in paths: + try: + entries = fscache.listdir(p) + except Exception: + entries = [] + for entry in entries: + # The code is hand-optimized for mypyc since this may be somewhat + # performance-critical. + if entry.endswith(".py"): + entry = entry[:-3] + elif entry.endswith(".pyi"): + entry = entry[:-4] + elif entry.endswith("-stubs"): + # Possible PEP 561 stub package + entry = entry[:-6] + if entry in packages: + found.add(entry) + return found diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_util.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/dmypy_util.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..cc3b157a202487d57ec5764f72ad715640b3113f Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/dmypy_util.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/dmypy_util.py b/micromamba_root/Lib/site-packages/mypy/dmypy_util.py new file mode 100644 index 0000000000000000000000000000000000000000..eeb918b7877e596a318af637ecf5c0597c1d388d --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/dmypy_util.py @@ -0,0 +1,117 @@ +"""Shared code between dmypy.py and dmypy_server.py. + +This should be pretty lightweight and not depend on other mypy code (other than ipc). +""" + +from __future__ import annotations + +import io +import json +from collections.abc import Iterable, Iterator +from types import TracebackType +from typing import Any, Final, TextIO + +from mypy.ipc import IPCBase + +DEFAULT_STATUS_FILE: Final = ".dmypy.json" + + +def receive(connection: IPCBase) -> Any: + """Receive single JSON data frame from a connection. + + Raise OSError if the data received is not valid JSON or if it is + not a dict. + """ + bdata = connection.read() + if not bdata: + raise OSError("No data received") + try: + data = json.loads(bdata) + except Exception as e: + raise OSError("Data received is not valid JSON") from e + if not isinstance(data, dict): + raise OSError(f"Data received is not a dict ({type(data)})") + return data + + +def send(connection: IPCBase, data: Any) -> None: + """Send data to a connection encoded and framed. + + The data must be JSON-serializable. We assume that a single send call is a + single frame to be sent on the connect. + """ + connection.write(json.dumps(data)) + + +class WriteToConn(TextIO): + """Helper class to write to a connection instead of standard output.""" + + def __init__(self, server: IPCBase, output_key: str, isatty: bool) -> None: + self.server = server + self.output_key = output_key + self._isatty = isatty + + def __enter__(self) -> TextIO: + return self + + def __exit__( + self, + t: type[BaseException] | None, + value: BaseException | None, + traceback: TracebackType | None, + ) -> None: + pass + + def __iter__(self) -> Iterator[str]: + raise io.UnsupportedOperation + + def __next__(self) -> str: + raise io.UnsupportedOperation + + def close(self) -> None: + pass + + def fileno(self) -> int: + raise OSError + + def flush(self) -> None: + pass + + def isatty(self) -> bool: + return self._isatty + + def read(self, n: int = 0) -> str: + raise io.UnsupportedOperation + + def readable(self) -> bool: + return False + + def readline(self, limit: int = 0) -> str: + raise io.UnsupportedOperation + + def readlines(self, hint: int = 0) -> list[str]: + raise io.UnsupportedOperation + + def seek(self, offset: int, whence: int = 0) -> int: + raise io.UnsupportedOperation + + def seekable(self) -> bool: + return False + + def tell(self) -> int: + raise io.UnsupportedOperation + + def truncate(self, size: int | None = 0) -> int: + raise io.UnsupportedOperation + + def write(self, output: str) -> int: + resp: dict[str, Any] = {self.output_key: output} + send(self.server, resp) + return len(output) + + def writable(self) -> bool: + return True + + def writelines(self, lines: Iterable[str]) -> None: + for s in lines: + self.write(s) diff --git a/micromamba_root/Lib/site-packages/mypy/erasetype.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/erasetype.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..4c9f9e8f9aa68140d4e0ae940c42bdce79c1da06 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/erasetype.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/erasetype.py b/micromamba_root/Lib/site-packages/mypy/erasetype.py new file mode 100644 index 0000000000000000000000000000000000000000..cb8d66f292dd3157b781ad8aa3cc5ebdf3e3e6d2 --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/erasetype.py @@ -0,0 +1,301 @@ +from __future__ import annotations + +from collections.abc import Callable, Container +from typing import cast + +from mypy.nodes import ARG_STAR, ARG_STAR2 +from mypy.types import ( + AnyType, + CallableType, + DeletedType, + ErasedType, + Instance, + LiteralType, + NoneType, + Overloaded, + Parameters, + ParamSpecType, + PartialType, + ProperType, + TupleType, + Type, + TypeAliasType, + TypedDictType, + TypeOfAny, + TypeTranslator, + TypeType, + TypeVarId, + TypeVarTupleType, + TypeVarType, + TypeVisitor, + UnboundType, + UninhabitedType, + UnionType, + UnpackType, + get_proper_type, + get_proper_types, +) +from mypy.typevartuples import erased_vars + + +def erase_type(typ: Type) -> ProperType: + """Erase any type variables from a type. + + Also replace tuple types with the corresponding concrete types. + + Examples: + A -> A + B[X] -> B[Any] + Tuple[A, B] -> tuple + Callable[[A1, A2, ...], R] -> Callable[..., Any] + Type[X] -> Type[Any] + """ + typ = get_proper_type(typ) + return typ.accept(EraseTypeVisitor()) + + +class EraseTypeVisitor(TypeVisitor[ProperType]): + def visit_unbound_type(self, t: UnboundType) -> ProperType: + # TODO: replace with an assert after UnboundType can't leak from semantic analysis. + return AnyType(TypeOfAny.from_error) + + def visit_any(self, t: AnyType) -> ProperType: + return t + + def visit_none_type(self, t: NoneType) -> ProperType: + return t + + def visit_uninhabited_type(self, t: UninhabitedType) -> ProperType: + return t + + def visit_erased_type(self, t: ErasedType) -> ProperType: + return t + + def visit_partial_type(self, t: PartialType) -> ProperType: + # Should not get here. + raise RuntimeError("Cannot erase partial types") + + def visit_deleted_type(self, t: DeletedType) -> ProperType: + return t + + def visit_instance(self, t: Instance) -> ProperType: + args = erased_vars(t.type.defn.type_vars, TypeOfAny.special_form) + return Instance(t.type, args, t.line) + + def visit_type_var(self, t: TypeVarType) -> ProperType: + return AnyType(TypeOfAny.special_form) + + def visit_param_spec(self, t: ParamSpecType) -> ProperType: + return AnyType(TypeOfAny.special_form) + + def visit_parameters(self, t: Parameters) -> ProperType: + raise RuntimeError("Parameters should have been bound to a class") + + def visit_type_var_tuple(self, t: TypeVarTupleType) -> ProperType: + # Likely, we can never get here because of aggressive erasure of types that + # can contain this, but better still return a valid replacement. + return t.tuple_fallback.copy_modified(args=[AnyType(TypeOfAny.special_form)]) + + def visit_unpack_type(self, t: UnpackType) -> ProperType: + return AnyType(TypeOfAny.special_form) + + def visit_callable_type(self, t: CallableType) -> ProperType: + # We must preserve the fallback type for overload resolution to work. + any_type = AnyType(TypeOfAny.special_form) + return CallableType( + arg_types=[any_type, any_type], + arg_kinds=[ARG_STAR, ARG_STAR2], + arg_names=[None, None], + ret_type=any_type, + fallback=t.fallback, + is_ellipsis_args=True, + implicit=True, + ) + + def visit_overloaded(self, t: Overloaded) -> ProperType: + return t.fallback.accept(self) + + def visit_tuple_type(self, t: TupleType) -> ProperType: + return t.partial_fallback.accept(self) + + def visit_typeddict_type(self, t: TypedDictType) -> ProperType: + return t.fallback.accept(self) + + def visit_literal_type(self, t: LiteralType) -> ProperType: + # The fallback for literal types should always be either + # something like int or str, or an enum class -- types that + # don't contain any TypeVars. So there's no need to visit it. + return t + + def visit_union_type(self, t: UnionType) -> ProperType: + erased_items = [erase_type(item) for item in t.items] + from mypy.typeops import make_simplified_union + + return make_simplified_union(erased_items) + + def visit_type_type(self, t: TypeType) -> ProperType: + return TypeType.make_normalized( + t.item.accept(self), line=t.line, is_type_form=t.is_type_form + ) + + def visit_type_alias_type(self, t: TypeAliasType) -> ProperType: + raise RuntimeError("Type aliases should be expanded before accepting this visitor") + + +def erase_typevars(t: Type, ids_to_erase: Container[TypeVarId] | None = None) -> Type: + """Replace all type variables in a type with any, + or just the ones in the provided collection. + """ + + if ids_to_erase is None: + return t.accept(TypeVarEraser(None, AnyType(TypeOfAny.special_form))) + + def erase_id(id: TypeVarId) -> bool: + return id in ids_to_erase + + return t.accept(TypeVarEraser(erase_id, AnyType(TypeOfAny.special_form))) + + +def erase_meta_id(id: TypeVarId) -> bool: + return id.is_meta_var() + + +def replace_meta_vars(t: Type, target_type: Type) -> Type: + """Replace unification variables in a type with the target type.""" + return t.accept(TypeVarEraser(erase_meta_id, target_type)) + + +class TypeVarEraser(TypeTranslator): + """Implementation of type erasure""" + + def __init__(self, erase_id: Callable[[TypeVarId], bool] | None, replacement: Type) -> None: + super().__init__() + self.erase_id = erase_id + self.replacement = replacement + + def visit_type_var(self, t: TypeVarType) -> Type: + if self.erase_id is None or self.erase_id(t.id): + return self.replacement + return t + + # TODO: below two methods duplicate some logic with expand_type(). + # In fact, we may want to refactor this whole visitor to use expand_type(). + def visit_instance(self, t: Instance) -> Type: + result = super().visit_instance(t) + assert isinstance(result, ProperType) and isinstance(result, Instance) + if t.type.fullname == "builtins.tuple": + # Normalize Tuple[*Tuple[X, ...], ...] -> Tuple[X, ...] + arg = result.args[0] + if isinstance(arg, UnpackType): + unpacked = get_proper_type(arg.type) + if isinstance(unpacked, Instance): + assert unpacked.type.fullname == "builtins.tuple" + return unpacked + return result + + def visit_tuple_type(self, t: TupleType) -> Type: + result = super().visit_tuple_type(t) + assert isinstance(result, ProperType) and isinstance(result, TupleType) + if len(result.items) == 1: + # Normalize Tuple[*Tuple[X, ...]] -> Tuple[X, ...] + item = result.items[0] + if isinstance(item, UnpackType): + unpacked = get_proper_type(item.type) + if isinstance(unpacked, Instance): + assert unpacked.type.fullname == "builtins.tuple" + if result.partial_fallback.type.fullname != "builtins.tuple": + # If it is a subtype (like named tuple) we need to preserve it, + # this essentially mimics the logic in tuple_fallback(). + return result.partial_fallback.accept(self) + return unpacked + return result + + def visit_callable_type(self, t: CallableType) -> Type: + result = super().visit_callable_type(t) + assert isinstance(result, ProperType) and isinstance(result, CallableType) + # Usually this is done in semanal_typeargs.py, but erasure can create + # a non-normal callable from normal one. + result.normalize_trivial_unpack() + return result + + def visit_type_var_tuple(self, t: TypeVarTupleType) -> Type: + if self.erase_id is None or self.erase_id(t.id): + return t.tuple_fallback.copy_modified(args=[self.replacement]) + return t + + def visit_param_spec(self, t: ParamSpecType) -> Type: + # TODO: we should probably preserve prefix here. + if self.erase_id is None or self.erase_id(t.id): + return self.replacement + return t + + def visit_type_alias_type(self, t: TypeAliasType) -> Type: + # Type alias target can't contain bound type variables (not bound by the type + # alias itself), so it is safe to just erase the arguments. + return t.copy_modified(args=[a.accept(self) for a in t.args]) + + +def remove_instance_last_known_values(t: Type) -> Type: + return t.accept(LastKnownValueEraser()) + + +class LastKnownValueEraser(TypeTranslator): + """Removes the Literal[...] type that may be associated with any + Instance types.""" + + def visit_instance(self, t: Instance) -> Type: + if not t.last_known_value and not t.args: + return t + return t.copy_modified(args=[a.accept(self) for a in t.args], last_known_value=None) + + def visit_type_alias_type(self, t: TypeAliasType) -> Type: + # Type aliases can't contain literal values, because they are + # always constructed as explicit types. + return t + + def visit_union_type(self, t: UnionType) -> Type: + new = cast(UnionType, super().visit_union_type(t)) + # Erasure can result in many duplicate items; merge them. + # Call make_simplified_union only on lists of instance types + # that all have the same fullname, to avoid simplifying too + # much. + instances = [item for item in new.items if isinstance(get_proper_type(item), Instance)] + # Avoid merge in simple cases such as optional types. + if len(instances) > 1: + instances_by_name: dict[str, list[Instance]] = {} + p_new_items = get_proper_types(new.items) + for p_item in p_new_items: + if isinstance(p_item, Instance) and not p_item.args: + instances_by_name.setdefault(p_item.type.fullname, []).append(p_item) + merged: list[Type] = [] + for item in new.items: + orig_item = item + item = get_proper_type(item) + if isinstance(item, Instance) and not item.args: + types = instances_by_name.get(item.type.fullname) + if types is not None: + if len(types) == 1: + merged.append(item) + else: + from mypy.typeops import make_simplified_union + + merged.append(make_simplified_union(types)) + del instances_by_name[item.type.fullname] + else: + merged.append(orig_item) + return UnionType.make_union(merged) + return new + + +def shallow_erase_type_for_equality(typ: Type) -> ProperType: + """Erase type variables from Instance's""" + p_typ = get_proper_type(typ) + if isinstance(p_typ, Instance): + if not p_typ.args: + return p_typ + args = erased_vars(p_typ.type.defn.type_vars, TypeOfAny.special_form) + return Instance(p_typ.type, args, p_typ.line) + if isinstance(p_typ, UnionType): + items = [shallow_erase_type_for_equality(item) for item in p_typ.items] + return UnionType.make_union(items) + return p_typ diff --git a/micromamba_root/Lib/site-packages/mypy/error_formatter.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/error_formatter.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..1cbe5e48725efa9f7771719eeb999caddc7a5d01 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/error_formatter.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/errorcodes.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/errorcodes.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..ecf74de6283e4d0dc9ae94c7e1548301eb665111 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/errorcodes.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/errorcodes.py b/micromamba_root/Lib/site-packages/mypy/errorcodes.py new file mode 100644 index 0000000000000000000000000000000000000000..5c28e8332a76cdc75f2c84964ce7d2e95171696c --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/errorcodes.py @@ -0,0 +1,333 @@ +"""Classification of possible errors mypy can detect. + +These can be used for filtering specific errors. +""" + +from __future__ import annotations + +from collections import defaultdict +from typing import Final + +from mypy_extensions import mypyc_attr + +error_codes: dict[str, ErrorCode] = {} +sub_code_map: dict[str, set[str]] = defaultdict(set) + + +@mypyc_attr(allow_interpreted_subclasses=True) +class ErrorCode: + def __init__( + self, + code: str, + description: str, + category: str, + default_enabled: bool = True, + sub_code_of: ErrorCode | None = None, + ) -> None: + self.code = code + self.description = description + self.category = category + self.default_enabled = default_enabled + self.sub_code_of = sub_code_of + if sub_code_of is not None: + assert sub_code_of.sub_code_of is None, "Nested subcategories are not supported" + sub_code_map[sub_code_of.code].add(code) + error_codes[code] = self + + def __str__(self) -> str: + return f"" + + def __repr__(self) -> str: + """This doesn't fulfill the goals of repr but it's better than the default view.""" + return f"" + + def __eq__(self, other: object) -> bool: + if not isinstance(other, ErrorCode): + return False + return self.code == other.code + + def __hash__(self) -> int: + return hash((self.code,)) + + +ATTR_DEFINED: Final = ErrorCode("attr-defined", "Check that attribute exists", "General") +NAME_DEFINED: Final = ErrorCode("name-defined", "Check that name is defined", "General") +CALL_ARG: Final = ErrorCode( + "call-arg", "Check number, names and kinds of arguments in calls", "General" +) +ARG_TYPE: Final = ErrorCode("arg-type", "Check argument types in calls", "General") +CALL_OVERLOAD: Final = ErrorCode( + "call-overload", "Check that an overload variant matches arguments", "General" +) +VALID_TYPE: Final = ErrorCode("valid-type", "Check that type (annotation) is valid", "General") +NONETYPE_TYPE: Final = ErrorCode( + "nonetype-type", "Check that type (annotation) is not NoneType", "General" +) +VAR_ANNOTATED: Final = ErrorCode( + "var-annotated", "Require variable annotation if type can't be inferred", "General" +) +OVERRIDE: Final = ErrorCode( + "override", "Check that method override is compatible with base class", "General" +) +RETURN: Final = ErrorCode("return", "Check that function always returns a value", "General") +RETURN_VALUE: Final = ErrorCode( + "return-value", "Check that return value is compatible with signature", "General" +) +ASSIGNMENT: Final = ErrorCode( + "assignment", "Check that assigned value is compatible with target", "General" +) +METHOD_ASSIGN: Final = ErrorCode( + "method-assign", + "Check that assignment target is not a method", + "General", + sub_code_of=ASSIGNMENT, +) +TYPE_ARG: Final = ErrorCode("type-arg", "Check that generic type arguments are present", "General") +TYPE_VAR: Final = ErrorCode("type-var", "Check that type variable values are valid", "General") +UNION_ATTR: Final = ErrorCode( + "union-attr", "Check that attribute exists in each item of a union", "General" +) +INDEX: Final = ErrorCode("index", "Check indexing operations", "General") +OPERATOR: Final = ErrorCode("operator", "Check that operator is valid for operands", "General") +LIST_ITEM: Final = ErrorCode( + "list-item", "Check list items in a list expression [item, ...]", "General" +) +DICT_ITEM: Final = ErrorCode( + "dict-item", "Check dict items in a dict expression {key: value, ...}", "General" +) +TYPEDDICT_ITEM: Final = ErrorCode( + "typeddict-item", "Check items when constructing TypedDict", "General" +) +TYPEDDICT_UNKNOWN_KEY: Final = ErrorCode( + "typeddict-unknown-key", + "Check unknown keys when constructing TypedDict", + "General", + sub_code_of=TYPEDDICT_ITEM, +) +HAS_TYPE: Final = ErrorCode( + "has-type", "Check that type of reference can be determined", "General" +) +IMPORT: Final = ErrorCode( + "import", "Require that imported module can be found or has stubs", "General" +) +IMPORT_NOT_FOUND: Final = ErrorCode( + "import-not-found", "Require that imported module can be found", "General", sub_code_of=IMPORT +) +IMPORT_UNTYPED: Final = ErrorCode( + "import-untyped", "Require that imported module has stubs", "General", sub_code_of=IMPORT +) +NO_REDEF: Final = ErrorCode("no-redef", "Check that each name is defined once", "General") +FUNC_RETURNS_VALUE: Final = ErrorCode( + "func-returns-value", "Check that called function returns a value in value context", "General" +) +ABSTRACT: Final = ErrorCode( + "abstract", "Prevent instantiation of classes with abstract attributes", "General" +) +TYPE_ABSTRACT: Final = ErrorCode( + "type-abstract", "Require only concrete classes where Type[...] is expected", "General" +) +VALID_NEWTYPE: Final = ErrorCode( + "valid-newtype", "Check that argument 2 to NewType is valid", "General" +) +STRING_FORMATTING: Final = ErrorCode( + "str-format", "Check that string formatting/interpolation is type-safe", "General" +) +STR_BYTES_PY3: Final = ErrorCode( + "str-bytes-safe", "Warn about implicit coercions related to bytes and string types", "General" +) +EXIT_RETURN: Final = ErrorCode( + "exit-return", "Warn about too general return type for '__exit__'", "General" +) +LITERAL_REQ: Final = ErrorCode("literal-required", "Check that value is a literal", "General") +UNUSED_COROUTINE: Final = ErrorCode( + "unused-coroutine", "Ensure that all coroutines are used", "General" +) +EMPTY_BODY: Final = ErrorCode( + "empty-body", + "A dedicated error code to opt out return errors for empty/trivial bodies", + "General", +) +SAFE_SUPER: Final = ErrorCode( + "safe-super", "Warn about calls to abstract methods with empty/trivial bodies", "General" +) +TOP_LEVEL_AWAIT: Final = ErrorCode( + "top-level-await", "Warn about top level await expressions", "General" +) +AWAIT_NOT_ASYNC: Final = ErrorCode( + "await-not-async", 'Warn about "await" outside coroutine ("async def")', "General" +) +# These error codes aren't enabled by default. +NO_UNTYPED_DEF: Final = ErrorCode( + "no-untyped-def", "Check that every function has an annotation", "General" +) +NO_UNTYPED_CALL: Final = ErrorCode( + "no-untyped-call", + "Disallow calling functions without type annotations from annotated functions", + "General", +) +REDUNDANT_CAST: Final = ErrorCode( + "redundant-cast", "Check that cast changes type of expression", "General" +) +ASSERT_TYPE: Final = ErrorCode("assert-type", "Check that assert_type() call succeeds", "General") +COMPARISON_OVERLAP: Final = ErrorCode( + "comparison-overlap", "Check that types in comparisons and 'in' expressions overlap", "General" +) +NO_ANY_UNIMPORTED: Final = ErrorCode( + "no-any-unimported", 'Reject "Any" types from unfollowed imports', "General" +) +NO_ANY_RETURN: Final = ErrorCode( + "no-any-return", + 'Reject returning value with "Any" type if return type is not "Any"', + "General", +) +UNREACHABLE: Final = ErrorCode( + "unreachable", "Warn about unreachable statements or expressions", "General" +) +ANNOTATION_UNCHECKED: Final = ErrorCode( + "annotation-unchecked", "Notify about type annotations in unchecked functions", "General" +) +TYPEDDICT_READONLY_MUTATED: Final = ErrorCode( + "typeddict-readonly-mutated", "TypedDict's ReadOnly key is mutated", "General" +) +POSSIBLY_UNDEFINED: Final = ErrorCode( + "possibly-undefined", + "Warn about variables that are defined only in some execution paths", + "General", + default_enabled=False, +) +REDUNDANT_EXPR: Final = ErrorCode( + "redundant-expr", "Warn about redundant expressions", "General", default_enabled=False +) +TRUTHY_BOOL: Final = ErrorCode( + "truthy-bool", + "Warn about expressions that could always evaluate to true in boolean contexts", + "General", + default_enabled=False, +) +TRUTHY_FUNCTION: Final = ErrorCode( + "truthy-function", + "Warn about function that always evaluate to true in boolean contexts", + "General", +) +TRUTHY_ITERABLE: Final = ErrorCode( + "truthy-iterable", + "Warn about Iterable expressions that could always evaluate to true in boolean contexts", + "General", + default_enabled=False, +) +STR_UNPACK: Final[ErrorCode] = ErrorCode( + "str-unpack", "Warn about expressions that unpack str", "General" +) +NAME_MATCH: Final = ErrorCode( + "name-match", "Check that type definition has consistent naming", "General" +) +NO_OVERLOAD_IMPL: Final = ErrorCode( + "no-overload-impl", + "Check that overloaded functions outside stub files have an implementation", + "General", +) +IGNORE_WITHOUT_CODE: Final = ErrorCode( + "ignore-without-code", + "Warn about '# type: ignore' comments which do not have error codes", + "General", + default_enabled=False, +) +UNUSED_AWAITABLE: Final = ErrorCode( + "unused-awaitable", + "Ensure that all awaitable values are used", + "General", + default_enabled=False, +) +REDUNDANT_SELF_TYPE: Final = ErrorCode( + "redundant-self", + "Warn about redundant Self type annotations on method first argument", + "General", + default_enabled=False, +) +USED_BEFORE_DEF: Final = ErrorCode( + "used-before-def", "Warn about variables that are used before they are defined", "General" +) +UNUSED_IGNORE: Final = ErrorCode( + "unused-ignore", "Ensure that all type ignores are used", "General", default_enabled=False +) +EXPLICIT_OVERRIDE_REQUIRED: Final = ErrorCode( + "explicit-override", + "Require @override decorator if method is overriding a base class method", + "General", + default_enabled=False, +) +UNIMPORTED_REVEAL: Final = ErrorCode( + "unimported-reveal", + "Require explicit import from typing or typing_extensions for reveal_type", + "General", + default_enabled=False, +) +MUTABLE_OVERRIDE: Final = ErrorCode( + "mutable-override", + "Reject covariant overrides for mutable attributes", + "General", + default_enabled=False, +) +EXHAUSTIVE_MATCH: Final = ErrorCode( + "exhaustive-match", + "Reject match statements that are not exhaustive", + "General", + default_enabled=False, +) +METACLASS: Final = ErrorCode("metaclass", "Ensure that metaclass is valid", "General") +MAYBE_UNRECOGNIZED_STR_TYPEFORM: Final = ErrorCode( + "maybe-unrecognized-str-typeform", + "Error when a string is used where a TypeForm is expected but a string annotation cannot be recognized", + "General", +) + +# Syntax errors are often blocking. +SYNTAX: Final = ErrorCode("syntax", "Report syntax errors", "General") + +# This is a catch-all for remaining uncategorized errors. +MISC: Final = ErrorCode("misc", "Miscellaneous other checks", "General") + +OVERLOAD_CANNOT_MATCH: Final = ErrorCode( + "overload-cannot-match", + "Warn if an @overload signature can never be matched", + "General", + sub_code_of=MISC, +) + +OVERLOAD_OVERLAP: Final = ErrorCode( + "overload-overlap", + "Warn if multiple @overload variants overlap in unsafe ways", + "General", + sub_code_of=MISC, +) + +PROPERTY_DECORATOR: Final = ErrorCode( + "prop-decorator", + "Decorators on top of @property are not supported", + "General", + sub_code_of=MISC, +) + +UNTYPED_DECORATOR: Final = ErrorCode( + "untyped-decorator", "Error if an untyped decorator makes a typed function untyped", "General" +) + +NARROWED_TYPE_NOT_SUBTYPE: Final = ErrorCode( + "narrowed-type-not-subtype", + "Warn if a TypeIs function's narrowed type is not a subtype of the original type", + "General", +) + +EXPLICIT_ANY: Final = ErrorCode( + "explicit-any", "Warn about explicit Any type annotations", "General" +) + +DEPRECATED: Final = ErrorCode( + "deprecated", + "Warn when importing or using deprecated (overloaded) functions, methods or classes", + "General", + default_enabled=False, +) + +# This copy will not include any error codes defined later in the plugins. +mypy_error_codes = error_codes.copy() diff --git a/micromamba_root/Lib/site-packages/mypy/errors.cp314-win_amd64.pyd b/micromamba_root/Lib/site-packages/mypy/errors.cp314-win_amd64.pyd new file mode 100644 index 0000000000000000000000000000000000000000..d0f0b909771906717cc4497c469ca4a3edd45584 Binary files /dev/null and b/micromamba_root/Lib/site-packages/mypy/errors.cp314-win_amd64.pyd differ diff --git a/micromamba_root/Lib/site-packages/mypy/errors.py b/micromamba_root/Lib/site-packages/mypy/errors.py new file mode 100644 index 0000000000000000000000000000000000000000..5ffada781b9ab156165eb14268654cb58163d1ea --- /dev/null +++ b/micromamba_root/Lib/site-packages/mypy/errors.py @@ -0,0 +1,1471 @@ +from __future__ import annotations + +import os.path +import sys +import traceback +from collections import defaultdict +from collections.abc import Callable, Iterable, Iterator +from itertools import chain +from typing import Final, Literal, NoReturn, TextIO, TypeVar +from typing_extensions import Self + +from librt.internal import ( + ReadBuffer, + WriteBuffer, + read_bool, + read_int as read_int_bare, + write_bool, + write_int as write_int_bare, +) + +from mypy import errorcodes as codes +from mypy.cache import ( + ErrorTuple, + read_int, + read_int_list, + read_str, + read_str_opt, + write_int, + write_int_list, + write_str, + write_str_opt, +) +from mypy.error_formatter import ErrorFormatter +from mypy.errorcodes import IMPORT, IMPORT_NOT_FOUND, IMPORT_UNTYPED, ErrorCode, mypy_error_codes +from mypy.nodes import Context +from mypy.options import Options +from mypy.scope import Scope +from mypy.types import Type +from mypy.util import DEFAULT_SOURCE_OFFSET +from mypy.version import __version__ as mypy_version + +T = TypeVar("T") + +# Show error codes for some note-level messages (these usually appear alone +# and not as a comment for a previous error-level message). +SHOW_NOTE_CODES: Final = {codes.ANNOTATION_UNCHECKED.code, codes.DEPRECATED.code} + +# Do not add notes with links to error code docs to errors with these codes. +# We can tweak this set as we get more experience about what is helpful and what is not. +HIDE_LINK_CODES: Final = { + # This is a generic error code, so it has no useful docs + codes.MISC, + # These are trivial and have some custom notes (e.g. for list being invariant) + codes.ASSIGNMENT, + codes.ARG_TYPE, + codes.RETURN_VALUE, + # Undefined name/attribute errors are self-explanatory + codes.ATTR_DEFINED, + codes.NAME_DEFINED, + # Overrides have a custom link to docs + codes.OVERRIDE, +} + +BASE_RTD_URL: Final = "https://mypy.rtfd.io/en/stable/_refs.html#code" + +# Keep track of the original error code when the error code of a message is changed. +# This is used to give notes about out-of-date "type: ignore" comments. +original_error_codes: Final = {codes.LITERAL_REQ: codes.MISC, codes.TYPE_ABSTRACT: codes.MISC} + + +class ErrorInfo: + """Representation of a single error message.""" + + # Description of a sequence of imports that refer to the source file + # related to this error. Each item is a (path, line number) tuple. + import_ctx: list[tuple[str, int]] + # Type and function/method where this error occurred. Unqualified, may be None. + local_ctx: tuple[str | None, str | None] + + # The line number related to this error within file. + line = 0 # -1 if unknown + # The column number related to this error with file. + column = 0 # -1 if unknown + # The end line number related to this error within file. + end_line = 0 # -1 if unknown + # The end column number related to this error with file. + end_column = 0 # -1 if unknown + # Either 'error' or 'note' + severity = "" + # The error message. + message = "" + # The error code. + code: ErrorCode | None = None + + # If True, we should halt build after the file that generated this error. + blocker = False + # Only report this particular messages once per program. + only_once = False + + # These two are used by the daemon: + # The fully-qualified id of the source module for this error. + module: str | None + # Fine-grained incremental target where this was reported + target: str | None + + # Lines where `type: ignores` will have effect on this error, for most errors + # this is just [line]. But sometimes may be custom, e.g. for override errors + # in methods with multi-line definition. + origin_span: Iterable[int] + # For errors on the same line you can use this to customize their sorting + # (lower value means show first). + priority: int + # If True, don't show this message in output, but still record the error. + hidden = False + + # For notes, specifies (optionally) the error this note is attached to. This is used to + # simplify error code matching and de-duplication logic for complex multi-line notes. + parent_error: ErrorInfo | None = None + + def __init__( + self, + *, + import_ctx: list[tuple[str, int]], + local_ctx: tuple[str | None, str | None], + line: int, + column: int, + end_line: int, + end_column: int, + severity: str, + message: str, + code: ErrorCode | None, + blocker: bool, + only_once: bool, + module: str | None, + target: str | None, + origin_span: Iterable[int] | None = None, + priority: int = 0, + parent_error: ErrorInfo | None = None, + ) -> None: + self.import_ctx = import_ctx + self.module = module + self.local_ctx = local_ctx + self.line = line + self.column = column + self.end_line = end_line + self.end_column = end_column + self.severity = severity + self.message = message + self.code = code + self.blocker = blocker + self.only_once = only_once + self.origin_span = origin_span or [line] + self.target = target + self.priority = priority + if parent_error is not None: + assert severity == "note", "Only notes can specify parent errors" + self.parent_error = parent_error + + def write(self, buf: WriteBuffer) -> None: + assert self.parent_error is None, "Parent errors not supported yet" + write_int_bare(buf, len(self.import_ctx)) + for file, line in self.import_ctx: + write_str(buf, file) + write_int(buf, line) + type, function = self.local_ctx + write_str_opt(buf, type) + write_str_opt(buf, function) + write_int(buf, self.line) + write_int(buf, self.column) + write_int(buf, self.end_line) + write_int(buf, self.end_column) + write_str(buf, self.severity) + write_str(buf, self.message) + write_str_opt(buf, self.code.code if self.code else None) + write_bool(buf, self.blocker) + write_bool(buf, self.only_once) + write_str_opt(buf, self.module) + write_str_opt(buf, self.target) + write_int_list(buf, list(self.origin_span)) + write_int(buf, self.priority) + + @classmethod + def read(cls, buf: ReadBuffer) -> ErrorInfo: + return ErrorInfo( + import_ctx=[(read_str(buf), read_int(buf)) for _ in range(read_int_bare(buf))], + local_ctx=(read_str_opt(buf), read_str_opt(buf)), + line=read_int(buf), + column=read_int(buf), + end_line=read_int(buf), + end_column=read_int(buf), + severity=read_str(buf), + message=read_str(buf), + code=mypy_error_codes[code] if (code := read_str_opt(buf)) else None, + blocker=read_bool(buf), + only_once=read_bool(buf), + module=read_str_opt(buf), + target=read_str_opt(buf), + origin_span=read_int_list(buf), + priority=read_int(buf), + ) + + +class ErrorWatcher: + """Context manager that can be used to keep track of new errors recorded + around a given operation. + + Errors maintain a stack of such watchers. The handler is called starting + at the top of the stack, and is propagated down the stack unless filtered + out by one of the ErrorWatcher instances. + """ + + # public attribute for the special treatment of `reveal_type` by + # `MessageBuilder.reveal_type`: + filter_revealed_type: bool + + def __init__( + self, + errors: Errors, + *, + filter_errors: bool | Callable[[str, ErrorInfo], bool] = False, + save_filtered_errors: bool = False, + filter_deprecated: bool = False, + filter_revealed_type: bool = False, + ) -> None: + self.errors = errors + self._has_new_errors = False + self._filter = filter_errors + self._filter_deprecated = filter_deprecated + self.filter_revealed_type = filter_revealed_type + self._filtered: list[ErrorInfo] | None = [] if save_filtered_errors else None + + def __enter__(self) -> Self: + self.errors._watchers.append(self) + return self + + def __exit__(self, exc_type: object, exc_val: object, exc_tb: object) -> Literal[False]: + last = self.errors._watchers.pop() + assert last == self + return False + + def on_error(self, file: str, info: ErrorInfo) -> bool: + """Handler called when a new error is recorded. + + The default implementation just sets the has_new_errors flag + + Return True to filter out the error, preventing it from being seen by other + ErrorWatcher further down the stack and from being recorded by Errors + """ + if info.code == codes.DEPRECATED: + # Deprecated is not a type error, so it is handled on opt-in basis here. + if not self._filter_deprecated: + return False + + self._has_new_errors = True + if isinstance(self._filter, bool): + should_filter = self._filter + elif callable(self._filter): + should_filter = self._filter(file, info) + else: + raise AssertionError(f"invalid error filter: {type(self._filter)}") + if should_filter and self._filtered is not None: + self._filtered.append(info) + + return should_filter + + def has_new_errors(self) -> bool: + return self._has_new_errors + + def filtered_errors(self) -> list[ErrorInfo]: + assert self._filtered is not None + return self._filtered + + +class NonOverlapErrorInfo: + line: int + column: int + end_line: int | None + end_column: int | None + kind: str + + def __init__( + self, *, line: int, column: int, end_line: int | None, end_column: int | None, kind: str + ) -> None: + self.line = line + self.column = column + self.end_line = end_line + self.end_column = end_column + self.kind = kind + + def __eq__(self, other: object) -> bool: + if isinstance(other, NonOverlapErrorInfo): + return ( + self.line == other.line + and self.column == other.column + and self.end_line == other.end_line + and self.end_column == other.end_column + and self.kind == other.kind + ) + return False + + def __hash__(self) -> int: + return hash((self.line, self.column, self.end_line, self.end_column, self.kind)) + + +class IterationDependentErrors: + """An `IterationDependentErrors` instance serves to collect the `unreachable`, + `redundant-expr`, and `redundant-casts` errors, as well as the revealed types and + non-overlapping types, handled by the individual `IterationErrorWatcher` instances + sequentially applied to the same code section.""" + + # One set of `unreachable`, `redundant-expr`, and `redundant-casts` errors per + # iteration step. Meaning of the tuple items: ErrorCode, message, line, column, + # end_line, end_column. + uselessness_errors: list[set[tuple[ErrorCode, str, int, int, int, int]]] + + # One set of unreachable line numbers per iteration step. Not only the lines where + # the error report occurs but really all unreachable lines. + unreachable_lines: list[set[int]] + + # One list of revealed types for each `reveal_type` statement. Each created list + # can grow during the iteration. Meaning of the tuple items: line, column, + # end_line, end_column: + revealed_types: dict[tuple[int, int, int | None, int | None], list[Type]] + + # One dictionary of non-overlapping types per iteration step: + nonoverlapping_types: list[dict[NonOverlapErrorInfo, tuple[Type, Type]]] + + def __init__(self) -> None: + self.uselessness_errors = [] + self.unreachable_lines = [] + self.nonoverlapping_types = [] + self.revealed_types = defaultdict(list) + + def yield_uselessness_error_infos(self) -> Iterator[tuple[str, Context, ErrorCode]]: + """Report only those `unreachable`, `redundant-expr`, and `redundant-casts` + errors that could not be ruled out in any iteration step.""" + + persistent_uselessness_errors = set() + for candidate in set(chain(*self.uselessness_errors)): + if all( + (candidate in errors) or (candidate[2] in lines) + for errors, lines in zip(self.uselessness_errors, self.unreachable_lines) + ): + persistent_uselessness_errors.add(candidate) + for error_info in persistent_uselessness_errors: + context = Context(line=error_info[2], column=error_info[3]) + context.end_line = error_info[4] + context.end_column = error_info[5] + yield error_info[1], context, error_info[0] + + def yield_nonoverlapping_types( + self, + ) -> Iterator[tuple[tuple[list[Type], list[Type]], str, Context]]: + """Report expressions where non-overlapping types were detected for all iterations + were the expression was reachable.""" + + selected = set() + for candidate in set(chain.from_iterable(self.nonoverlapping_types)): + if all( + (candidate in nonoverlap) or (candidate.line in lines) + for nonoverlap, lines in zip(self.nonoverlapping_types, self.unreachable_lines) + ): + selected.add(candidate) + + persistent_nonoverlaps: dict[NonOverlapErrorInfo, tuple[list[Type], list[Type]]] = ( + defaultdict(lambda: ([], [])) + ) + for nonoverlaps in self.nonoverlapping_types: + for candidate, (left, right) in nonoverlaps.items(): + if candidate in selected: + types = persistent_nonoverlaps[candidate] + types[0].append(left) + types[1].append(right) + + for error_info, types in persistent_nonoverlaps.items(): + context = Context(line=error_info.line, column=error_info.column) + context.end_line = error_info.end_line + context.end_column = error_info.end_column + yield (types[0], types[1]), error_info.kind, context + + def yield_revealed_type_infos(self) -> Iterator[tuple[list[Type], Context]]: + """Yield all types revealed in at least one iteration step.""" + + for note_info, types in self.revealed_types.items(): + context = Context(line=note_info[0], column=note_info[1]) + context.end_line = note_info[2] + context.end_column = note_info[3] + yield types, context + + +class IterationErrorWatcher(ErrorWatcher): + """Error watcher that filters and separately collects `unreachable` errors, + `redundant-expr` and `redundant-casts` errors, and revealed types and + non-overlapping types when analysing code sections iteratively to help avoid + making too-hasty reports.""" + + iteration_dependent_errors: IterationDependentErrors + + def __init__( + self, + errors: Errors, + iteration_dependent_errors: IterationDependentErrors, + *, + filter_errors: bool | Callable[[str, ErrorInfo], bool] = False, + save_filtered_errors: bool = False, + filter_deprecated: bool = False, + ) -> None: + super().__init__( + errors, + filter_errors=filter_errors, + save_filtered_errors=save_filtered_errors, + filter_deprecated=filter_deprecated, + ) + self.iteration_dependent_errors = iteration_dependent_errors + iteration_dependent_errors.uselessness_errors.append(set()) + iteration_dependent_errors.nonoverlapping_types.append({}) + iteration_dependent_errors.unreachable_lines.append(set()) + + def on_error(self, file: str, info: ErrorInfo) -> bool: + """Filter out the "iteration-dependent" errors and notes and store their + information to handle them after iteration is completed.""" + + iter_errors = self.iteration_dependent_errors + + if info.code in (codes.UNREACHABLE, codes.REDUNDANT_EXPR, codes.REDUNDANT_CAST): + iter_errors.uselessness_errors[-1].add( + (info.code, info.message, info.line, info.column, info.end_line, info.end_column) + ) + if info.code == codes.UNREACHABLE: + iter_errors.unreachable_lines[-1].update(range(info.line, info.end_line + 1)) + return True + + return super().on_error(file, info) + + +class Errors: + """Container for compile errors. + + This class generates and keeps tracks of compile errors and the + current error context (nested imports). + """ + + # Map from files to generated error messages. Is an OrderedDict so + # that it can be used to order messages based on the order the + # files were processed. + error_info_map: dict[str, list[ErrorInfo]] + + # optimization for legacy codebases with many files with errors + has_blockers: set[str] + + # Files that we have reported the errors for + flushed_files: set[str] + + # Current error context: nested import context/stack, as a list of (path, line) pairs. + import_ctx: list[tuple[str, int]] + + # Path name prefix that is removed from all paths, if set. + ignore_prefix: str | None = None + + # Path to current file. + file: str = "" + + # Ignore some errors on these lines of each file + # (path -> line -> error-codes) + ignored_lines: dict[str, dict[int, list[str]]] + + # Lines that were skipped during semantic analysis e.g. due to ALWAYS_FALSE, MYPY_FALSE, + # or platform/version checks. Those lines would not be type-checked. + skipped_lines: dict[str, set[int]] + + # Lines on which an error was actually ignored. + used_ignored_lines: dict[str, dict[int, list[str]]] + + # Files where all errors should be ignored. + ignored_files: set[str] + + # Collection of reported only_once messages. + only_once_messages: set[str] + + # State for keeping track of the current fine-grained incremental mode target. + # (See mypy.server.update for more about targets.) + # Current module id. + target_module: str | None = None + scope: Scope | None = None + + # Have we seen an import-related error so far? If yes, we filter out other messages + # in some cases to avoid reporting huge numbers of errors. + seen_import_error = False + + # Set this flag to record all raw report() calls. Recorded error (per file) can + # be replayed using by calling set_file() and add_error_info(). + global_watcher = False + recorded: dict[str, list[ErrorInfo]] + + _watchers: list[ErrorWatcher] + + def __init__( + self, + options: Options, + *, + read_source: Callable[[str], list[str] | None] | None = None, + hide_error_codes: bool | None = None, + ) -> None: + self.options = options + self.hide_error_codes = ( + hide_error_codes if hide_error_codes is not None else options.hide_error_codes + ) + # We use fscache to read source code when showing snippets. + self.read_source = read_source + self.initialize() + + def initialize(self) -> None: + self.error_info_map = {} + self.flushed_files = set() + self.import_ctx = [] + self.function_or_member = [None] + self.ignored_lines = {} + self.skipped_lines = {} + self.used_ignored_lines = defaultdict(lambda: defaultdict(list)) + self.ignored_files = set() + self.only_once_messages = set() + self.has_blockers = set() + self.scope = None + self.target_module = None + self.seen_import_error = False + self._watchers = [] + self.global_watcher = False + self.recorded = defaultdict(list) + + def reset(self) -> None: + self.initialize() + + def set_ignore_prefix(self, prefix: str) -> None: + """Set path prefix that will be removed from all paths.""" + prefix = os.path.normpath(prefix) + # Add separator to the end, if not given. + if os.path.basename(prefix) != "": + prefix += os.sep + self.ignore_prefix = prefix + + def simplify_path(self, file: str) -> str: + if self.options.show_absolute_path: + return os.path.abspath(file) + else: + file = os.path.normpath(file) + return remove_path_prefix(file, self.ignore_prefix) + + def set_file( + self, file: str, module: str | None, options: Options, scope: Scope | None = None + ) -> None: + """Set the path and module id of the current file.""" + # The path will be simplified later, in render_messages. That way + # * 'file' is always a key that uniquely identifies a source file + # that mypy read (simplified paths might not be unique); and + # * we only have to simplify in one place, while still supporting + # reporting errors for files other than the one currently being + # processed. + self.file = file + self.target_module = module + self.scope = scope + self.options = options + + def set_file_ignored_lines( + self, file: str, ignored_lines: dict[int, list[str]], ignore_all: bool = False + ) -> None: + self.ignored_lines[file] = ignored_lines + if ignore_all: + self.ignored_files.add(file) + + def set_skipped_lines(self, file: str, skipped_lines: set[int]) -> None: + self.skipped_lines[file] = skipped_lines + + def current_target(self) -> str | None: + """Retrieves the current target from the associated scope. + + If there is no associated scope, use the target module.""" + if self.scope is not None: + return self.scope.current_target() + return self.target_module + + def current_module(self) -> str | None: + return self.target_module + + def import_context(self) -> list[tuple[str, int]]: + """Return a copy of the import context.""" + return self.import_ctx.copy() + + def set_import_context(self, ctx: list[tuple[str, int]]) -> None: + """Replace the entire import context with a new value.""" + self.import_ctx = ctx.copy() + + def report( + self, + line: int, + column: int | None, + message: str, + code: ErrorCode | None = None, + *, + blocker: bool = False, + severity: str = "error", + only_once: bool = False, + origin_span: Iterable[int] | None = None, + offset: int = 0, + end_line: int | None = None, + end_column: int | None = None, + parent_error: ErrorInfo | None = None, + ) -> ErrorInfo: + """Report message at the given line using the current error context. + + Args: + line: line number of error + column: column number of error + message: message to report + code: error code (defaults to 'misc'; not shown for notes) + blocker: if True, don't continue analysis after this error + severity: 'error' or 'note' + only_once: if True, only report this exact message once per build + origin_span: lines where `type: ignore`s have effect for this error + (default is [line]) + offset: number of spaces to prefix this message + end_line: if known, end line of error location + end_column: if known, end column of error location + parent_error: an error this note is attached to (for notes only). + """ + if self.scope: + type = self.scope.current_type_name() + if self.scope.ignored > 0: + type = None # Omit type context if nested function + function = self.scope.current_function_name() + else: + type = None + function = None + + # It looks like there is a bug in how we parse f-strings, + # we cannot simply assert this yet. + if end_line is None or end_line < line: + end_line = line + + if column is None: + column = -1 + if end_column is None: + if column == -1: + end_column = -1 + else: + end_column = column + 1 + if line == end_line and end_column <= column: + # Be defensive, similar to the logic for lines above. + end_column = column + 1 + + if offset: + message = " " * offset + message + + code = code or (parent_error.code if parent_error else None) + if parent_error is not None: + assert code == parent_error.code, "Must have same error code as parent" + assert severity == "note", "Only notes can have parent errors" + code = code or (codes.MISC if not blocker else None) + + info = ErrorInfo( + import_ctx=self.import_context(), + local_ctx=(type, function), + line=line, + column=column, + end_line=end_line, + end_column=end_column, + severity=severity, + message=message, + code=code, + blocker=blocker, + only_once=only_once, + origin_span=origin_span, + module=self.current_module(), + target=self.current_target(), + parent_error=parent_error, + ) + if self.global_watcher: + self.recorded[self.file].append(info) + self.add_error_info(info) + return info + + def _add_error_info(self, file: str, info: ErrorInfo) -> None: + assert file not in self.flushed_files + # process the stack of ErrorWatchers before modifying any internal state + # in case we need to filter out the error entirely + if self._filter_error(file, info): + return + if file not in self.error_info_map: + self.error_info_map[file] = [] + self.error_info_map[file].append(info) + if info.blocker: + self.has_blockers.add(file) + if info.code in (IMPORT, IMPORT_UNTYPED, IMPORT_NOT_FOUND): + self.seen_import_error = True + + def note_for_info( + self, + file: str, + info: ErrorInfo, + message: str, + code: ErrorCode | None, + *, + only_once: bool = False, + priority: int = 0, + ) -> None: + """Generate an additional note for an existing ErrorInfo. + + This skip the logic in add_error_info() and goes to _add_error_info(). + """ + info = ErrorInfo( + import_ctx=info.import_ctx, + local_ctx=info.local_ctx, + line=info.line, + column=info.column, + end_line=info.end_line, + end_column=info.end_column, + severity="note", + message=message, + code=code, + blocker=False, + only_once=only_once, + module=info.module, + target=info.target, + origin_span=info.origin_span, + priority=priority, + ) + self._add_error_info(file, info) + + def report_simple_error( + self, file: str, line: int, message: str, code: ErrorCode | None + ) -> None: + """Generate a simple error in a module. + + This skip the logic in add_error_info() and goes to _add_error_info(). + """ + info = ErrorInfo( + import_ctx=self.import_context(), + local_ctx=(None, None), + line=line, + column=-1, + end_line=line, + end_column=-1, + severity="error", + message=message, + code=code, + blocker=False, + only_once=False, + module=self.current_module(), + # TODO: can we support more precise targets? + target=self.target_module, + ) + self._add_error_info(file, info) + + def get_watchers(self) -> Iterator[ErrorWatcher]: + """Yield the `ErrorWatcher` stack from top to bottom.""" + i = len(self._watchers) + while i > 0: + i -= 1 + yield self._watchers[i] + + def _filter_error(self, file: str, info: ErrorInfo) -> bool: + """ + process ErrorWatcher stack from top to bottom, + stopping early if error needs to be filtered out + """ + return any(w.on_error(file, info) for w in self.get_watchers()) + + def add_error_info(self, info: ErrorInfo, *, file: str | None = None) -> None: + lines = info.origin_span + file = file or self.file + # process the stack of ErrorWatchers before modifying any internal state + # in case we need to filter out the error entirely + # NB: we need to do this both here and in _add_error_info, otherwise we + # might incorrectly update the sets of ignored or only_once messages + if self._filter_error(file, info): + return + if not info.blocker: # Blockers cannot be ignored + if file in self.ignored_lines: + # Check each line in this context for "type: ignore" comments. + # line == end_line for most nodes, so we only loop once. + for scope_line in lines: + if self.is_ignored_error(scope_line, info, self.ignored_lines[file]): + err_code = info.code or codes.MISC + if not self.is_error_code_enabled(err_code): + # Error code is disabled - don't mark the current + # "type: ignore" comment as used. + return + # Annotation requests us to ignore all errors on this line. + self.used_ignored_lines[file][scope_line].append(err_code.code) + return + if file in self.ignored_files: + return + if info.only_once: + if info.message in self.only_once_messages: + return + self.only_once_messages.add(info.message) + if ( + self.seen_import_error + and info.code not in (IMPORT, IMPORT_UNTYPED, IMPORT_NOT_FOUND) + and self.has_many_errors() + ): + # Missing stubs can easily cause thousands of errors about + # Any types, especially when upgrading to mypy 0.900, + # which no longer bundles third-party library stubs. Avoid + # showing too many errors to make it easier to see + # import-related errors. + info.hidden = True + self.report_hidden_errors(file, info) + self._add_error_info(file, info) + ignored_codes = self.ignored_lines.get(file, {}).get(info.line, []) + if ignored_codes and info.code: + # Something is ignored on the line, but not this error, so maybe the error + # code is incorrect. + msg = f'Error code "{info.code.code}" not covered by "type: ignore" comment' + if info.code in original_error_codes: + # If there seems to be a "type: ignore" with a stale error + # code, report a more specific note. + old_code = original_error_codes[info.code].code + if old_code in ignored_codes: + msg = ( + f'Error code changed to {info.code.code}; "type: ignore" comment ' + + "may be out of date" + ) + self.note_for_info(file, info, msg, None, only_once=False) + if ( + self.options.show_error_code_links + and not self.options.hide_error_codes + and info.code is not None + and info.code not in HIDE_LINK_CODES + and info.code.code in mypy_error_codes + ): + message = f"See {BASE_RTD_URL}-{info.code.code} for more info" + if message in self.only_once_messages: + return + self.only_once_messages.add(message) + self.note_for_info(file, info, message, info.code, only_once=True, priority=20) + + def has_many_errors(self) -> bool: + if self.options.many_errors_threshold < 0: + return False + if len(self.error_info_map) >= self.options.many_errors_threshold: + return True + if ( + sum(len(errors) for errors in self.error_info_map.values()) + >= self.options.many_errors_threshold + ): + return True + return False + + def report_hidden_errors(self, file: str, info: ErrorInfo) -> None: + message = ( + "(Skipping most remaining errors due to unresolved imports or missing stubs; " + + "fix these first)" + ) + if message in self.only_once_messages: + return + self.only_once_messages.add(message) + self.note_for_info(file, info, message, None, only_once=True) + + def is_ignored_error(self, line: int, info: ErrorInfo, ignores: dict[int, list[str]]) -> bool: + if info.blocker: + # Blocking errors can never be ignored + return False + if info.code and not self.is_error_code_enabled(info.code): + return True + if line not in ignores: + return False + if not ignores[line]: + # Empty list means that we ignore all errors + return True + if info.code and self.is_error_code_enabled(info.code): + return ( + info.code.code in ignores[line] + or info.code.sub_code_of is not None + and info.code.sub_code_of.code in ignores[line] + ) + return False + + def is_error_code_enabled(self, error_code: ErrorCode) -> bool: + if self.options: + current_mod_disabled = self.options.disabled_error_codes + current_mod_enabled = self.options.enabled_error_codes + else: + current_mod_disabled = set() + current_mod_enabled = set() + + if error_code in current_mod_disabled: + return False + elif error_code in current_mod_enabled: + return True + elif error_code.sub_code_of is not None and error_code.sub_code_of in current_mod_disabled: + return False + else: + return error_code.default_enabled + + def clear_errors_in_targets(self, path: str, targets: set[str]) -> None: + """Remove errors in specific fine-grained targets within a file.""" + if path in self.error_info_map: + new_errors = [] + has_blocker = False + for info in self.error_info_map[path]: + if info.target not in targets: + new_errors.append(info) + has_blocker |= info.blocker + elif info.only_once: + self.only_once_messages.remove(info.message) + self.error_info_map[path] = new_errors + if not has_blocker and path in self.has_blockers: + self.has_blockers.remove(path) + + def generate_unused_ignore_errors(self, file: str, is_typeshed: bool = False) -> None: + if is_typeshed or file in self.ignored_files: + return + ignored_lines = self.ignored_lines[file] + used_ignored_lines = self.used_ignored_lines[file] + for line, ignored_codes in ignored_lines.items(): + if line in self.skipped_lines[file]: + continue + if codes.UNUSED_IGNORE.code in ignored_codes: + continue + used_ignored_codes = set(used_ignored_lines[line]) + unused_ignored_codes = [c for c in ignored_codes if c not in used_ignored_codes] + # `ignore` is used + if not ignored_codes and used_ignored_codes: + continue + # All codes appearing in `ignore[...]` are used + if ignored_codes and not unused_ignored_codes: + continue + # Display detail only when `ignore[...]` specifies more than one error code + unused_codes_message = "" + if len(ignored_codes) > 1 and unused_ignored_codes: + unused_codes_message = f"[{', '.join(unused_ignored_codes)}]" + message = f'Unused "type: ignore{unused_codes_message}" comment' + for unused in unused_ignored_codes: + narrower = set(used_ignored_codes) & codes.sub_code_map[unused] + if narrower: + message += f", use narrower [{', '.join(narrower)}] instead of [{unused}] code" + # Don't use report() since add_error_info will ignore the error! + self.report_simple_error(file, line, message, code=codes.UNUSED_IGNORE) + + def generate_ignore_without_code_errors( + self, file: str, is_warning_unused_ignores: bool, is_typeshed: bool = False + ) -> None: + if is_typeshed or file in self.ignored_files: + return + + used_ignored_lines = self.used_ignored_lines[file] + for line, ignored_codes in self.ignored_lines[file].items(): + if line in self.skipped_lines[file]: + continue + if ignored_codes: + continue + + # If the `type: ignore` is itself unused and that would be warned about, + # let that error stand alone + if is_warning_unused_ignores and not used_ignored_lines[line]: + continue + + codes_hint = "" + ignored_codes = sorted(set(used_ignored_lines[line])) + if ignored_codes: + codes_hint = f' (consider "type: ignore[{", ".join(ignored_codes)}]" instead)' + + message = f'"type: ignore" comment without error code{codes_hint}' + # Don't use report() since add_error_info will ignore the error! + self.report_simple_error(file, line, message, code=codes.IGNORE_WITHOUT_CODE) + + def num_messages(self) -> int: + """Return the number of generated messages.""" + return sum(len(x) for x in self.error_info_map.values()) + + def is_errors(self) -> bool: + """Are there any generated messages?""" + return bool(self.error_info_map) + + def is_blockers(self) -> bool: + """Are the any errors that are blockers?""" + return bool(self.has_blockers) + + def blocker_module(self) -> str | None: + """Return the module with a blocking error, or None if not possible.""" + for path in self.has_blockers: + for err in self.error_info_map[path]: + if err.blocker: + return err.module + return None + + def is_errors_for_file(self, file: str) -> bool: + """Are there any errors for the given file?""" + return file in self.error_info_map and file not in self.ignored_files + + def prefer_simple_messages(self) -> bool: + """Should we generate simple/fast error messages? + + Return True if errors are not shown to user, i.e. errors are ignored + or they are collected for internal use only. + + If True, we should prefer to generate a simple message quickly. + All normal errors should still be reported. + """ + if self.file in self.ignored_files: + # Errors ignored, so no point generating fancy messages + return True + if self.options.ignore_errors: + return True + if self._watchers: + _watcher = self._watchers[-1] + if _watcher._filter is True and _watcher._filtered is None: + # Errors are filtered + return True + return False + + def raise_error(self, use_stdout: bool = True) -> NoReturn: + """Raise a CompileError with the generated messages. + + Render the messages suitable for displaying. + """ + # self.new_messages() will format all messages that haven't already + # been returned from a file_messages() call. + raise CompileError( + self.new_messages(), use_stdout=use_stdout, module_with_blocker=self.blocker_module() + ) + + def format_messages_default( + self, error_tuples: list[ErrorTuple], source_lines: list[str] | None + ) -> list[str]: + """Return a string list that represents the error messages. + + Use a form suitable for displaying to the user. If self.pretty + is True also append a relevant trimmed source code line (only for + severity 'error'). + """ + a: list[str] = [] + for file, line, column, end_line, end_column, severity, message, code in error_tuples: + s = "" + if file is not None: + if self.options.show_column_numbers and line >= 0 and column >= 0: + srcloc = f"{file}:{line}:{1 + column}" + if self.options.show_error_end and end_line >= 0 and end_column >= 0: + srcloc += f":{end_line}:{end_column}" + elif line >= 0: + srcloc = f"{file}:{line}" + else: + srcloc = file + s = f"{srcloc}: {severity}: {message}" + else: + s = message + if ( + not self.hide_error_codes + and code + and (severity != "note" or code in SHOW_NOTE_CODES) + ): + # If note has an error code, it is related to a previous error. Avoid + # displaying duplicate error codes. + s = f"{s} [{code}]" + a.append(s) + if self.options.pretty: + # Add source code fragment and a location marker. + if severity == "error" and source_lines and line > 0: + source_line = source_lines[line - 1] + source_line_expanded = source_line.expandtabs() + min_column = len(source_line) - len(source_line.lstrip()) + if column < min_column: + # Something went wrong, take first non-empty column. + column = min_column + + # Shifts column after tab expansion + column = len(source_line[:column].expandtabs()) + end_column = len(source_line[:end_column].expandtabs()) + + # Note, currently coloring uses the offset to detect source snippets, + # so these offsets should not be arbitrary. + a.append(" " * DEFAULT_SOURCE_OFFSET + source_line_expanded) + marker = "^" + if end_line == line and end_column > column: + marker = f'^{"~" * (end_column - column - 1)}' + elif end_line != line: + # just highlight the first line instead + marker = f'^{"~" * (len(source_line_expanded) - column - 1)}' + a.append(" " * (DEFAULT_SOURCE_OFFSET + column) + marker) + return a + + def file_messages(self, path: str) -> list[ErrorTuple]: + """Return an error tuple list of new error messages from a given file.""" + if path not in self.error_info_map: + return [] + + error_info = self.error_info_map[path] + error_info = [info for info in error_info if not info.hidden] + error_info = self.remove_duplicates(self.sort_messages(error_info)) + return self.render_messages(path, error_info) + + def format_messages( + self, path: str, error_tuples: list[ErrorTuple], formatter: ErrorFormatter | None = None + ) -> list[str]: + """Return a string list of new error messages from a given file. + + Use a form suitable for displaying to the user. + """ + self.flushed_files.add(path) + if formatter is not None: + errors = create_errors(error_tuples) + return [formatter.report_error(err) for err in errors] + + source_lines = None + if self.options.pretty and self.read_source: + # Find shadow file mapping and read source lines if a shadow file exists for the given path. + # If shadow file mapping is not found, read source lines + mapped_path = self.find_shadow_file_mapping(path) + if mapped_path: + source_lines = self.read_source(mapped_path) + else: + source_lines = self.read_source(path) + return self.format_messages_default(error_tuples, source_lines) + + def find_shadow_file_mapping(self, path: str) -> str | None: + """Return the shadow file path for a given source file path or None.""" + if self.options.shadow_file is None: + return None + + for i in self.options.shadow_file: + if i[0] == path: + return i[1] + return None + + def new_messages(self) -> list[str]: + """Return a string list of new error messages. + + Use a form suitable for displaying to the user. + Errors from different files are ordered based on the order in which + they first generated an error. + """ + msgs = [] + for path in self.error_info_map.keys(): + if path not in self.flushed_files: + error_tuples = self.file_messages(path) + msgs.extend(self.format_messages(path, error_tuples)) + return msgs + + def targets(self) -> set[str]: + """Return a set of all targets that contain errors.""" + # TODO: Make sure that either target is always defined or that not being defined + # is okay for fine-grained incremental checking. + return { + info.target for errs in self.error_info_map.values() for info in errs if info.target + } + + def render_messages(self, file: str, errors: list[ErrorInfo]) -> list[ErrorTuple]: + """Translate the messages into a sequence of tuples. + + Each tuple is of form (path, line, col, severity, message, code). + The rendered sequence includes information about error contexts. + The path item may be None. If the line item is negative, the + line number is not defined for the tuple. + """ + file = self.simplify_path(file) + result: list[ErrorTuple] = [] + prev_import_context: list[tuple[str, int]] = [] + prev_function: str | None = None + prev_type: str | None = None + + for e in errors: + # Report module import context, if different from previous message. + if not self.options.show_error_context: + pass + elif e.import_ctx != prev_import_context: + last = len(e.import_ctx) - 1 + i = last + while i >= 0: + path, line = e.import_ctx[i] + fmt = "{}:{}: note: In module imported here" + if i < last: + fmt = "{}:{}: note: ... from here" + if i > 0: + fmt += "," + else: + fmt += ":" + # Remove prefix to ignore from path (if present) to + # simplify path. + path = remove_path_prefix(path, self.ignore_prefix) + result.append((None, -1, -1, -1, -1, "note", fmt.format(path, line), None)) + i -= 1 + + # Report context within a source file. + type, function = e.local_ctx + if not self.options.show_error_context: + pass + elif function != prev_function or type != prev_type: + if function is None: + if type is None: + result.append((file, -1, -1, -1, -1, "note", "At top level:", None)) + else: + result.append((file, -1, -1, -1, -1, "note", f'In class "{type}":', None)) + else: + + if type is None: + msg = f'In function "{function}":' + else: + msg = 'In member "{}" of class "{}":'.format(function, type) + result.append((file, -1, -1, -1, -1, "note", msg, None)) + + elif type != prev_type: + if type is None: + result.append((file, -1, -1, -1, -1, "note", "At top level:", None)) + else: + result.append((file, -1, -1, -1, -1, "note", f'In class "{type}":', None)) + + code = e.code.code if e.code is not None else None + result.append( + (file, e.line, e.column, e.end_line, e.end_column, e.severity, e.message, code) + ) + + prev_import_context = e.import_ctx + prev_function = function + prev_type = type + + return result + + def sort_messages(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: + """Sort an array of error messages locally by line number. + + I.e., sort a run of consecutive messages with the same + context by line number, but otherwise retain the general + ordering of the messages. + """ + result: list[ErrorInfo] = [] + i = 0 + while i < len(errors): + i0 = i + # Find neighbouring errors with the same context and file. + while i + 1 < len(errors) and errors[i + 1].import_ctx == errors[i].import_ctx: + i += 1 + i += 1 + + # Sort the errors specific to a file according to line number and column. + a = sorted(errors[i0:i], key=lambda x: (x.line, x.column)) + a = self.sort_within_context(a) + result.extend(a) + return result + + def sort_within_context(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: + """For the same location decide which messages to show first/last. + + Currently, we only compare within the same error code, to decide the + order of various additional notes. + """ + result = [] + i = 0 + while i < len(errors): + i0 = i + # Find neighbouring errors with the same position and error code. + while ( + i + 1 < len(errors) + and errors[i + 1].line == errors[i].line + and errors[i + 1].column == errors[i].column + and errors[i + 1].end_line == errors[i].end_line + and errors[i + 1].end_column == errors[i].end_column + and errors[i + 1].code == errors[i].code + ): + i += 1 + i += 1 + + # Sort the messages specific to a given error by priority. + a = sorted(errors[i0:i], key=lambda x: x.priority) + result.extend(a) + return result + + def remove_duplicates(self, errors: list[ErrorInfo]) -> list[ErrorInfo]: + filtered_errors = [] + seen_by_line: defaultdict[int, set[tuple[str, str]]] = defaultdict(set) + removed = set() + for err in errors: + if err.parent_error is not None: + # Notes with specified parent are removed together with error below. + filtered_errors.append(err) + elif (err.severity, err.message) not in seen_by_line[err.line]: + filtered_errors.append(err) + seen_by_line[err.line].add((err.severity, err.message)) + else: + removed.add(err) + return [ + err + for err in filtered_errors + if err.parent_error is None or err.parent_error not in removed + ] + + +class CompileError(Exception): + """Exception raised when there is a compile error. + + It can be a parse, semantic analysis, type check or other + compilation-related error. + + CompileErrors raised from an errors object carry all of the + messages that have not been reported out by error streaming. + This is patched up by build.build to contain either all error + messages (if errors were streamed) or none (if they were not). + + """ + + messages: list[str] + use_stdout = False + # Can be set in case there was a module with a blocking error + module_with_blocker: str | None = None + + def __init__( + self, messages: list[str], use_stdout: bool = False, module_with_blocker: str | None = None + ) -> None: + super().__init__("\n".join(messages)) + self.messages = messages + self.use_stdout = use_stdout + self.module_with_blocker = module_with_blocker + + +def remove_path_prefix(path: str, prefix: str | None) -> str: + """If path starts with prefix, return copy of path with the prefix removed. + Otherwise, return path. If path is None, return None. + """ + if prefix is not None and path.startswith(prefix): + return path[len(prefix) :] + else: + return path + + +def report_internal_error( + err: Exception, + file: str | None, + line: int, + errors: Errors | None, + options: Options, + stdout: TextIO | None = None, + stderr: TextIO | None = None, +) -> NoReturn: + """Report internal error and exit. + + This optionally starts pdb or shows a traceback. + """ + stdout = stdout or sys.stdout + stderr = stderr or sys.stderr + # Dump out errors so far, they often provide a clue. + # But catch unexpected errors rendering them. + if errors: + try: + for msg in errors.new_messages(): + print(msg) + except Exception as e: + print("Failed to dump errors:", repr(e), file=stderr) + + # Compute file:line prefix for official-looking error messages. + if file: + if line: + prefix = f"{file}:{line}: " + else: + prefix = f"{file}: " + else: + prefix = "" + + # Print "INTERNAL ERROR" message. + print( + f"{prefix}error: INTERNAL ERROR --", + "Please try using mypy master on GitHub:\n" + "https://mypy.readthedocs.io/en/stable/common_issues.html" + "#using-a-development-mypy-build", + file=stderr, + ) + if options.show_traceback: + print("Please report a bug at https://github.com/python/mypy/issues", file=stderr) + else: + print( + "If this issue continues with mypy master, " + "please report a bug at https://github.com/python/mypy/issues", + file=stderr, + ) + print(f"version: {mypy_version}", file=stderr) + + # If requested, drop into pdb. This overrides show_tb. + if options.pdb: + print("Dropping into pdb", file=stderr) + import pdb + + pdb.post_mortem(sys.exc_info()[2]) + + # If requested, print traceback, else print note explaining how to get one. + if options.raise_exceptions: + raise err + if not options.show_traceback: + if not options.pdb: + print( + "{}note: please use --show-traceback to print a traceback " + "when reporting a bug".format(prefix), + file=stderr, + ) + else: + tb = traceback.extract_stack()[:-2] + tb2 = traceback.extract_tb(sys.exc_info()[2]) + print("Traceback (most recent call last):") + for s in traceback.format_list(tb + tb2): + print(s.rstrip("\n")) + print(f"{type(err).__name__}: {err}", file=stdout) + print(f"{prefix}note: use --pdb to drop into pdb", file=stderr) + + # Exit. The caller has nothing more to say. + # We use exit code 2 to signal that this is no ordinary error. + raise SystemExit(2) + + +class MypyError: + def __init__( + self, + file_path: str, + line: int, + column: int, + end_line: int, + end_column: int, + message: str, + errorcode: str | None, + severity: Literal["error", "note"], + ) -> None: + self.file_path = file_path + self.line = line + self.column = column + self.end_line = end_line + self.end_column = end_column + self.message = message + self.errorcode = errorcode + self.severity = severity + self.hints: list[str] = [] + + +# (file_path, line, column) +_ErrorLocation = tuple[str, int, int] + + +def create_errors(error_tuples: list[ErrorTuple]) -> list[MypyError]: + errors: list[MypyError] = [] + latest_error_at_location: dict[_ErrorLocation, MypyError] = {} + + for error_tuple in error_tuples: + file_path, line, column, end_line, end_column, severity, message, errorcode = error_tuple + if file_path is None: + continue + + assert severity in ("error", "note") + if severity == "note": + error_location = (file_path, line, column) + error = latest_error_at_location.get(error_location) + if error is None: + # This is purely a note, with no error correlated to it + error = MypyError( + file_path, + line, + column, + end_line, + end_column, + message, + errorcode, + severity="note", + ) + errors.append(error) + continue + + error.hints.append(message) + + else: + error = MypyError( + file_path, line, column, end_line, end_column, message, errorcode, severity="error" + ) + errors.append(error) + error_location = (file_path, line, column) + latest_error_at_location[error_location] = error + + return errors diff --git a/micromamba_root/envs/hf_sync/DLLs/_ctypes.pyd b/micromamba_root/envs/hf_sync/DLLs/_ctypes.pyd new file mode 100644 index 0000000000000000000000000000000000000000..20d7811bb5ba4f3f8f6d5d5315d65fa3c0fcac9f --- /dev/null +++ b/micromamba_root/envs/hf_sync/DLLs/_ctypes.pyd @@ -0,0 +1,3 @@ +version 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