mirror of https://github.com/m-labs/artiq.git
compiler: give suggestions in diagnostics for unbound variable.
This uses the Jaro-Winkler edit distance, which seemed like the best fit for identifiers, even though it is intended for people's names.
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@ -11,6 +11,8 @@ from collections import OrderedDict, defaultdict
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from pythonparser import ast, algorithm, source, diagnostic, parse_buffer
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from pythonparser import lexer as source_lexer, parser as source_parser
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from Levenshtein import jaro_winkler
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from ..language import core as language_core
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from . import types, builtins, asttyped, prelude
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from .transforms import ASTTypedRewriter, Inferencer, IntMonomorphizer
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@ -225,10 +227,29 @@ class StitchingASTTypedRewriter(ASTTypedRewriter):
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if node.id in self.host_environment:
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return self.quote(self.host_environment[node.id], node.loc)
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else:
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diag = diagnostic.Diagnostic("fatal",
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"name '{name}' is not bound to anything", {"name":node.id},
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node.loc)
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self.engine.process(diag)
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suggestion = self._most_similar_ident(node.id)
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if suggestion is not None:
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diag = diagnostic.Diagnostic("fatal",
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"name '{name}' is not bound to anything; did you mean '{suggestion}'?",
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{"name": node.id, "suggestion": suggestion},
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node.loc)
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self.engine.process(diag)
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else:
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diag = diagnostic.Diagnostic("fatal",
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"name '{name}' is not bound to anything", {"name": node.id},
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node.loc)
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self.engine.process(diag)
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def _most_similar_ident(self, id):
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names = set()
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names.update(self.host_environment.keys())
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for typing_env in reversed(self.env_stack):
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names.update(typing_env.keys())
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sorted_names = sorted(names, key=lambda other: jaro_winkler(id, other), reverse=True)
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if len(sorted_names) > 0:
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if jaro_winkler(id, sorted_names[0]) > 0.0:
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return sorted_names[0]
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class StitchingInferencer(Inferencer):
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def __init__(self, engine, value_map, quote):
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3
setup.py
3
setup.py
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@ -27,7 +27,8 @@ requirements = [
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"sphinx", "sphinx-argparse", "pyserial", "numpy", "scipy",
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"python-dateutil", "prettytable", "h5py", "pydaqmx", "pyelftools",
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"quamash", "pyqtgraph", "pygit2", "aiohttp",
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"llvmlite_artiq", "pythonparser", "lit", "OutputCheck",
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"llvmlite_artiq", "pythonparser", "python-Levenshtein",
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"lit", "OutputCheck",
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]
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scripts = [
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