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import railroad
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import pyparsing
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import typing
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from typing import (
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List,
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NamedTuple,
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Generic,
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TypeVar,
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Dict,
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Callable,
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Set,
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Iterable,
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)
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from jinja2 import Template
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from io import StringIO
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import inspect
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jinja2_template_source = """\
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<!DOCTYPE html>
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<html>
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<head>
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{% if not head %}
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<style type="text/css">
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.railroad-heading {
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font-family: monospace;
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}
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</style>
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{% else %}
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{{ head | safe }}
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{% endif %}
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</head>
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<body>
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{{ body | safe }}
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{% for diagram in diagrams %}
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<div class="railroad-group">
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<h1 class="railroad-heading">{{ diagram.title }}</h1>
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<div class="railroad-description">{{ diagram.text }}</div>
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<div class="railroad-svg">
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{{ diagram.svg }}
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</div>
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</div>
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{% endfor %}
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</body>
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</html>
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"""
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template = Template(jinja2_template_source)
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# Note: ideally this would be a dataclass, but we're supporting Python 3.5+ so we can't do this yet
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NamedDiagram = NamedTuple(
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"NamedDiagram",
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[("name", str), ("diagram", typing.Optional[railroad.DiagramItem]), ("index", int)],
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)
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"""
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A simple structure for associating a name with a railroad diagram
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"""
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T = TypeVar("T")
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class EachItem(railroad.Group):
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"""
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Custom railroad item to compose a:
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- Group containing a
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- OneOrMore containing a
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- Choice of the elements in the Each
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with the group label indicating that all must be matched
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"""
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all_label = "[ALL]"
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def __init__(self, *items):
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choice_item = railroad.Choice(len(items) - 1, *items)
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one_or_more_item = railroad.OneOrMore(item=choice_item)
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super().__init__(one_or_more_item, label=self.all_label)
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class AnnotatedItem(railroad.Group):
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"""
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Simple subclass of Group that creates an annotation label
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"""
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def __init__(self, label: str, item):
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super().__init__(item=item, label="[{}]".format(label) if label else label)
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class EditablePartial(Generic[T]):
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"""
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Acts like a functools.partial, but can be edited. In other words, it represents a type that hasn't yet been
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constructed.
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"""
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# We need this here because the railroad constructors actually transform the data, so can't be called until the
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# entire tree is assembled
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def __init__(self, func: Callable[..., T], args: list, kwargs: dict):
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self.func = func
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self.args = args
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self.kwargs = kwargs
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@classmethod
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def from_call(cls, func: Callable[..., T], *args, **kwargs) -> "EditablePartial[T]":
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"""
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If you call this function in the same way that you would call the constructor, it will store the arguments
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as you expect. For example EditablePartial.from_call(Fraction, 1, 3)() == Fraction(1, 3)
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"""
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return EditablePartial(func=func, args=list(args), kwargs=kwargs)
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@property
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def name(self):
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return self.kwargs["name"]
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def __call__(self) -> T:
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"""
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Evaluate the partial and return the result
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"""
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args = self.args.copy()
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kwargs = self.kwargs.copy()
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# This is a helpful hack to allow you to specify varargs parameters (e.g. *args) as keyword args (e.g.
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# args=['list', 'of', 'things'])
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arg_spec = inspect.getfullargspec(self.func)
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if arg_spec.varargs in self.kwargs:
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args += kwargs.pop(arg_spec.varargs)
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return self.func(*args, **kwargs)
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def railroad_to_html(diagrams: List[NamedDiagram], **kwargs) -> str:
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"""
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Given a list of NamedDiagram, produce a single HTML string that visualises those diagrams
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:params kwargs: kwargs to be passed in to the template
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"""
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data = []
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for diagram in diagrams:
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if diagram.diagram is None:
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continue
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io = StringIO()
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diagram.diagram.writeSvg(io.write)
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title = diagram.name
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if diagram.index == 0:
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title += " (root)"
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data.append({"title": title, "text": "", "svg": io.getvalue()})
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return template.render(diagrams=data, **kwargs)
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def resolve_partial(partial: "EditablePartial[T]") -> T:
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"""
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Recursively resolves a collection of Partials into whatever type they are
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"""
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if isinstance(partial, EditablePartial):
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partial.args = resolve_partial(partial.args)
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partial.kwargs = resolve_partial(partial.kwargs)
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return partial()
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elif isinstance(partial, list):
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return [resolve_partial(x) for x in partial]
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elif isinstance(partial, dict):
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return {key: resolve_partial(x) for key, x in partial.items()}
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else:
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return partial
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def to_railroad(
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element: pyparsing.ParserElement,
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diagram_kwargs: typing.Optional[dict] = None,
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vertical: int = 3,
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show_results_names: bool = False,
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show_groups: bool = False,
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) -> List[NamedDiagram]:
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"""
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Convert a pyparsing element tree into a list of diagrams. This is the recommended entrypoint to diagram
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creation if you want to access the Railroad tree before it is converted to HTML
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:param element: base element of the parser being diagrammed
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:param diagram_kwargs: kwargs to pass to the Diagram() constructor
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:param vertical: (optional) - int - limit at which number of alternatives should be
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shown vertically instead of horizontally
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:param show_results_names - bool to indicate whether results name annotations should be
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included in the diagram
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:param show_groups - bool to indicate whether groups should be highlighted with an unlabeled
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surrounding box
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"""
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# Convert the whole tree underneath the root
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lookup = ConverterState(diagram_kwargs=diagram_kwargs or {})
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_to_diagram_element(
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element,
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lookup=lookup,
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parent=None,
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vertical=vertical,
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show_results_names=show_results_names,
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show_groups=show_groups,
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)
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root_id = id(element)
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# Convert the root if it hasn't been already
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if root_id in lookup:
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if not element.customName:
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lookup[root_id].name = ""
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lookup[root_id].mark_for_extraction(root_id, lookup, force=True)
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# Now that we're finished, we can convert from intermediate structures into Railroad elements
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diags = list(lookup.diagrams.values())
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if len(diags) > 1:
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# collapse out duplicate diags with the same name
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seen = set()
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deduped_diags = []
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for d in diags:
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# don't extract SkipTo elements, they are uninformative as subdiagrams
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if d.name == "...":
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continue
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if d.name is not None and d.name not in seen:
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seen.add(d.name)
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deduped_diags.append(d)
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resolved = [resolve_partial(partial) for partial in deduped_diags]
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else:
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# special case - if just one diagram, always display it, even if
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# it has no name
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resolved = [resolve_partial(partial) for partial in diags]
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return sorted(resolved, key=lambda diag: diag.index)
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def _should_vertical(
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specification: int, exprs: Iterable[pyparsing.ParserElement]
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) -> bool:
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"""
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Returns true if we should return a vertical list of elements
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"""
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if specification is None:
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return False
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else:
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return len(_visible_exprs(exprs)) >= specification
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class ElementState:
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"""
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State recorded for an individual pyparsing Element
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"""
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# Note: this should be a dataclass, but we have to support Python 3.5
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def __init__(
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self,
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element: pyparsing.ParserElement,
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converted: EditablePartial,
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parent: EditablePartial,
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number: int,
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name: str = None,
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parent_index: typing.Optional[int] = None,
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):
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#: The pyparsing element that this represents
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self.element: pyparsing.ParserElement = element
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#: The name of the element
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self.name: typing.Optional[str] = name
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#: The output Railroad element in an unconverted state
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self.converted: EditablePartial = converted
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#: The parent Railroad element, which we store so that we can extract this if it's duplicated
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self.parent: EditablePartial = parent
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#: The order in which we found this element, used for sorting diagrams if this is extracted into a diagram
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self.number: int = number
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#: The index of this inside its parent
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self.parent_index: typing.Optional[int] = parent_index
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#: If true, we should extract this out into a subdiagram
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self.extract: bool = False
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#: If true, all of this element's children have been filled out
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self.complete: bool = False
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def mark_for_extraction(
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self, el_id: int, state: "ConverterState", name: str = None, force: bool = False
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):
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"""
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Called when this instance has been seen twice, and thus should eventually be extracted into a sub-diagram
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:param el_id: id of the element
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:param state: element/diagram state tracker
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:param name: name to use for this element's text
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:param force: If true, force extraction now, regardless of the state of this. Only useful for extracting the
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root element when we know we're finished
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"""
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self.extract = True
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# Set the name
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if not self.name:
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if name:
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# Allow forcing a custom name
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self.name = name
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elif self.element.customName:
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self.name = self.element.customName
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else:
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self.name = ""
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# Just because this is marked for extraction doesn't mean we can do it yet. We may have to wait for children
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# to be added
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# Also, if this is just a string literal etc, don't bother extracting it
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if force or (self.complete and _worth_extracting(self.element)):
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state.extract_into_diagram(el_id)
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class ConverterState:
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"""
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Stores some state that persists between recursions into the element tree
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"""
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def __init__(self, diagram_kwargs: typing.Optional[dict] = None):
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#: A dictionary mapping ParserElements to state relating to them
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self._element_diagram_states: Dict[int, ElementState] = {}
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#: A dictionary mapping ParserElement IDs to subdiagrams generated from them
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self.diagrams: Dict[int, EditablePartial[NamedDiagram]] = {}
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#: The index of the next unnamed element
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self.unnamed_index: int = 1
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#: The index of the next element. This is used for sorting
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self.index: int = 0
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#: Shared kwargs that are used to customize the construction of diagrams
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self.diagram_kwargs: dict = diagram_kwargs or {}
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self.extracted_diagram_names: Set[str] = set()
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def __setitem__(self, key: int, value: ElementState):
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self._element_diagram_states[key] = value
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def __getitem__(self, key: int) -> ElementState:
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return self._element_diagram_states[key]
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def __delitem__(self, key: int):
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del self._element_diagram_states[key]
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def __contains__(self, key: int):
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return key in self._element_diagram_states
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def generate_unnamed(self) -> int:
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"""
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Generate a number used in the name of an otherwise unnamed diagram
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"""
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self.unnamed_index += 1
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return self.unnamed_index
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def generate_index(self) -> int:
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"""
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Generate a number used to index a diagram
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"""
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self.index += 1
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return self.index
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def extract_into_diagram(self, el_id: int):
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"""
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Used when we encounter the same token twice in the same tree. When this
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happens, we replace all instances of that token with a terminal, and
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create a new subdiagram for the token
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"""
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position = self[el_id]
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# Replace the original definition of this element with a regular block
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if position.parent:
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ret = EditablePartial.from_call(railroad.NonTerminal, text=position.name)
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if "item" in position.parent.kwargs:
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position.parent.kwargs["item"] = ret
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elif "items" in position.parent.kwargs:
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position.parent.kwargs["items"][position.parent_index] = ret
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# If the element we're extracting is a group, skip to its content but keep the title
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if position.converted.func == railroad.Group:
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content = position.converted.kwargs["item"]
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else:
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content = position.converted
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self.diagrams[el_id] = EditablePartial.from_call(
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NamedDiagram,
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name=position.name,
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diagram=EditablePartial.from_call(
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railroad.Diagram, content, **self.diagram_kwargs
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),
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index=position.number,
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)
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del self[el_id]
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def _worth_extracting(element: pyparsing.ParserElement) -> bool:
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"""
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Returns true if this element is worth having its own sub-diagram. Simply, if any of its children
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themselves have children, then its complex enough to extract
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"""
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children = element.recurse()
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return any(child.recurse() for child in children)
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def _apply_diagram_item_enhancements(fn):
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"""
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decorator to ensure enhancements to a diagram item (such as results name annotations)
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get applied on return from _to_diagram_element (we do this since there are several
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returns in _to_diagram_element)
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"""
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def _inner(
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element: pyparsing.ParserElement,
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parent: typing.Optional[EditablePartial],
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lookup: ConverterState = None,
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vertical: int = None,
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index: int = 0,
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name_hint: str = None,
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show_results_names: bool = False,
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show_groups: bool = False,
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) -> typing.Optional[EditablePartial]:
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ret = fn(
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element,
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parent,
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lookup,
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vertical,
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index,
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name_hint,
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show_results_names,
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show_groups,
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)
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# apply annotation for results name, if present
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if show_results_names and ret is not None:
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element_results_name = element.resultsName
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if element_results_name:
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# add "*" to indicate if this is a "list all results" name
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element_results_name += "" if element.modalResults else "*"
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ret = EditablePartial.from_call(
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railroad.Group, item=ret, label=element_results_name
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)
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return ret
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return _inner
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def _visible_exprs(exprs: Iterable[pyparsing.ParserElement]):
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non_diagramming_exprs = (
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pyparsing.ParseElementEnhance,
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pyparsing.PositionToken,
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pyparsing.And._ErrorStop,
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)
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return [
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e
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for e in exprs
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if not (e.customName or e.resultsName or isinstance(e, non_diagramming_exprs))
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]
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@_apply_diagram_item_enhancements
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def _to_diagram_element(
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element: pyparsing.ParserElement,
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parent: typing.Optional[EditablePartial],
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lookup: ConverterState = None,
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vertical: int = None,
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index: int = 0,
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name_hint: str = None,
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show_results_names: bool = False,
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show_groups: bool = False,
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) -> typing.Optional[EditablePartial]:
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"""
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Recursively converts a PyParsing Element to a railroad Element
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:param lookup: The shared converter state that keeps track of useful things
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:param index: The index of this element within the parent
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:param parent: The parent of this element in the output tree
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:param vertical: Controls at what point we make a list of elements vertical. If this is an integer (the default),
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it sets the threshold of the number of items before we go vertical. If True, always go vertical, if False, never
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do so
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:param name_hint: If provided, this will override the generated name
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:param show_results_names: bool flag indicating whether to add annotations for results names
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:returns: The converted version of the input element, but as a Partial that hasn't yet been constructed
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:param show_groups: bool flag indicating whether to show groups using bounding box
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"""
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exprs = element.recurse()
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name = name_hint or element.customName or element.__class__.__name__
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# Python's id() is used to provide a unique identifier for elements
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el_id = id(element)
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element_results_name = element.resultsName
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# Here we basically bypass processing certain wrapper elements if they contribute nothing to the diagram
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if not element.customName:
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if isinstance(
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element,
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(
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# pyparsing.TokenConverter,
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# pyparsing.Forward,
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pyparsing.Located,
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),
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):
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# However, if this element has a useful custom name, and its child does not, we can pass it on to the child
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if exprs:
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if not exprs[0].customName:
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propagated_name = name
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else:
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propagated_name = None
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return _to_diagram_element(
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element.expr,
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parent=parent,
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lookup=lookup,
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vertical=vertical,
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index=index,
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name_hint=propagated_name,
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show_results_names=show_results_names,
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show_groups=show_groups,
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)
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# If the element isn't worth extracting, we always treat it as the first time we say it
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if _worth_extracting(element):
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if el_id in lookup:
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# If we've seen this element exactly once before, we are only just now finding out that it's a duplicate,
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# so we have to extract it into a new diagram.
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looked_up = lookup[el_id]
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looked_up.mark_for_extraction(el_id, lookup, name=name_hint)
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ret = EditablePartial.from_call(railroad.NonTerminal, text=looked_up.name)
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return ret
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elif el_id in lookup.diagrams:
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# If we have seen the element at least twice before, and have already extracted it into a subdiagram, we
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# just put in a marker element that refers to the sub-diagram
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ret = EditablePartial.from_call(
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railroad.NonTerminal, text=lookup.diagrams[el_id].kwargs["name"]
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)
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return ret
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# Recursively convert child elements
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# Here we find the most relevant Railroad element for matching pyparsing Element
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# We use ``items=[]`` here to hold the place for where the child elements will go once created
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if isinstance(element, pyparsing.And):
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# detect And's created with ``expr*N`` notation - for these use a OneOrMore with a repeat
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# (all will have the same name, and resultsName)
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if not exprs:
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return None
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if len(set((e.name, e.resultsName) for e in exprs)) == 1:
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ret = EditablePartial.from_call(
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railroad.OneOrMore, item="", repeat=str(len(exprs))
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)
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elif _should_vertical(vertical, exprs):
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ret = EditablePartial.from_call(railroad.Stack, items=[])
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else:
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ret = EditablePartial.from_call(railroad.Sequence, items=[])
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elif isinstance(element, (pyparsing.Or, pyparsing.MatchFirst)):
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if not exprs:
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return None
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if _should_vertical(vertical, exprs):
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ret = EditablePartial.from_call(railroad.Choice, 0, items=[])
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else:
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ret = EditablePartial.from_call(railroad.HorizontalChoice, items=[])
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elif isinstance(element, pyparsing.Each):
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if not exprs:
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return None
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ret = EditablePartial.from_call(EachItem, items=[])
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elif isinstance(element, pyparsing.NotAny):
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ret = EditablePartial.from_call(AnnotatedItem, label="NOT", item="")
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elif isinstance(element, pyparsing.FollowedBy):
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ret = EditablePartial.from_call(AnnotatedItem, label="LOOKAHEAD", item="")
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elif isinstance(element, pyparsing.PrecededBy):
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ret = EditablePartial.from_call(AnnotatedItem, label="LOOKBEHIND", item="")
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elif isinstance(element, pyparsing.Group):
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if show_groups:
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ret = EditablePartial.from_call(AnnotatedItem, label="", item="")
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else:
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ret = EditablePartial.from_call(railroad.Group, label="", item="")
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elif isinstance(element, pyparsing.TokenConverter):
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ret = EditablePartial.from_call(
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AnnotatedItem, label=type(element).__name__.lower(), item=""
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)
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elif isinstance(element, pyparsing.Opt):
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ret = EditablePartial.from_call(railroad.Optional, item="")
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elif isinstance(element, pyparsing.OneOrMore):
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ret = EditablePartial.from_call(railroad.OneOrMore, item="")
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elif isinstance(element, pyparsing.ZeroOrMore):
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ret = EditablePartial.from_call(railroad.ZeroOrMore, item="")
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elif isinstance(element, pyparsing.Group):
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ret = EditablePartial.from_call(
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railroad.Group, item=None, label=element_results_name
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)
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elif isinstance(element, pyparsing.Empty) and not element.customName:
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# Skip unnamed "Empty" elements
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ret = None
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elif len(exprs) > 1:
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ret = EditablePartial.from_call(railroad.Sequence, items=[])
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elif len(exprs) > 0 and not element_results_name:
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ret = EditablePartial.from_call(railroad.Group, item="", label=name)
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else:
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terminal = EditablePartial.from_call(railroad.Terminal, element.defaultName)
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ret = terminal
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if ret is None:
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return
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# Indicate this element's position in the tree so we can extract it if necessary
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lookup[el_id] = ElementState(
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element=element,
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converted=ret,
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parent=parent,
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parent_index=index,
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number=lookup.generate_index(),
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)
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if element.customName:
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lookup[el_id].mark_for_extraction(el_id, lookup, element.customName)
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i = 0
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for expr in exprs:
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# Add a placeholder index in case we have to extract the child before we even add it to the parent
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if "items" in ret.kwargs:
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ret.kwargs["items"].insert(i, None)
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item = _to_diagram_element(
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expr,
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parent=ret,
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lookup=lookup,
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vertical=vertical,
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index=i,
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show_results_names=show_results_names,
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show_groups=show_groups,
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)
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# Some elements don't need to be shown in the diagram
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if item is not None:
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if "item" in ret.kwargs:
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ret.kwargs["item"] = item
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elif "items" in ret.kwargs:
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# If we've already extracted the child, don't touch this index, since it's occupied by a nonterminal
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ret.kwargs["items"][i] = item
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i += 1
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elif "items" in ret.kwargs:
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# If we're supposed to skip this element, remove it from the parent
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del ret.kwargs["items"][i]
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# If all this items children are none, skip this item
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if ret and (
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("items" in ret.kwargs and len(ret.kwargs["items"]) == 0)
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or ("item" in ret.kwargs and ret.kwargs["item"] is None)
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):
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ret = EditablePartial.from_call(railroad.Terminal, name)
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# Mark this element as "complete", ie it has all of its children
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|
if el_id in lookup:
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lookup[el_id].complete = True
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if el_id in lookup and lookup[el_id].extract and lookup[el_id].complete:
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lookup.extract_into_diagram(el_id)
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|
if ret is not None:
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ret = EditablePartial.from_call(
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|
railroad.NonTerminal, text=lookup.diagrams[el_id].kwargs["name"]
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)
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return ret
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