diff --git a/metaflow/client/core.py b/metaflow/client/core.py index e6852b71901..18b4d1c4d97 100644 --- a/metaflow/client/core.py +++ b/metaflow/client/core.py @@ -2121,8 +2121,9 @@ def parent_steps(self) -> Iterator["Step"]: Parent step """ graph_info = self.task["_graph_info"].data + start_step = graph_info.get("start_step", "start") - if self.id != "start": + if self.id != start_step: flow, run, _ = self.path_components for node_name, attributes in graph_info["steps"].items(): if self.id in attributes["next"]: @@ -2139,8 +2140,9 @@ def child_steps(self) -> Iterator["Step"]: Child step """ graph_info = self.task["_graph_info"].data + end_step = graph_info.get("end_step", "end") - if self.id != "end": + if self.id != end_step: flow, run, _ = self.path_components for next_step in graph_info["steps"][self.id]["next"]: yield Step(f"{flow}/{run}/{next_step}", _namespace_check=False) @@ -2153,7 +2155,7 @@ class Run(MetaflowObject): Attributes ---------- data : MetaflowData - a shortcut to run['end'].task.data, i.e. data produced by this run. + A shortcut to the terminal step's task data produced by this run. successful : bool True if the run completed successfully. finished : bool @@ -2165,7 +2167,7 @@ class Run(MetaflowObject): trigger : MetaflowTrigger Information about event(s) that triggered this run (if present). See `MetaflowTrigger`. end_task : Task - `Task` for the end step (if it is present already). + `Task` for the terminal step (if it is present already). """ _NAME = "run" @@ -2176,6 +2178,36 @@ def _iter_filter(self, x): # exclude _parameters step return x.id[0] != "_" + @property + def _graph_endpoints(self): + """ + Returns (start_step_name, end_step_name) from ``_parameters`` task + metadata. + + The metadata is written by ``persist_constants``, which every + runtime path calls before any step executes — the native runtime + directly, and orchestrators (Argo Workflows, Airflow, Step + Functions) through the ``init`` command they insert into their + generated command line. Falls back to the literal + ``("start", "end")`` for old runs that predate custom endpoint + support. + """ + if not hasattr(self, "_cached_endpoints"): + start, end = "start", "end" + try: + params_meta = self["_parameters"].task.metadata_dict + start = params_meta.get("start_step", "start") + end = params_meta.get("end_step", "end") + except (KeyError, MetaflowNotFound): + # Expected for old runs without _parameters or metadata. + pass + except Exception: + # Transient error (network, metadata service) -- do NOT cache + # the fallback so a subsequent access can retry. + return (start, end) + self._cached_endpoints = (start, end) + return self._cached_endpoints + def steps(self, *tags: str) -> Iterator[Step]: """ [Legacy function - do not use] @@ -2298,17 +2330,18 @@ def finished_at(self) -> Optional[datetime]: @property def end_task(self) -> Optional[Task]: """ - Returns the Task corresponding to the 'end' step. + Returns the Task corresponding to the terminal step. - This returns None if the end step does not yet exist. + This returns None if the terminal step does not yet exist. Returns ------- Task, optional - The 'end' task + The terminal step's task """ try: - end_step = self["end"] + _, end_step_name = self._graph_endpoints + end_step = self[end_step_name] except KeyError: return None @@ -2481,8 +2514,9 @@ def trigger(self) -> Optional[Trigger]: Trigger, optional Container of triggering events """ - if "start" in self and self["start"].task: - meta = self["start"].task.metadata_dict.get("execution-triggers") + start_step, _ = self._graph_endpoints + if start_step in self and self[start_step].task: + meta = self[start_step].task.metadata_dict.get("execution-triggers") if meta: return Trigger(json.loads(meta)) return None diff --git a/metaflow/decorators.py b/metaflow/decorators.py index 54c41ef4834..6bd45e726a4 100644 --- a/metaflow/decorators.py +++ b/metaflow/decorators.py @@ -588,6 +588,27 @@ def _base_step_decorator(decotype, *args, **kwargs): func = args[0] if isinstance(func, (StepMutator, UserStepDecoratorBase)): func = func._my_step + + # Step decorator applied to a class with a synthesized step method. + # This branch exists to support an upcoming FunctionSpec feature + # (currently shipped as an out-of-tree extension): its metaclass + # (FunctionSpecMeta) creates a single `@step(start=True, end=True)` + # method on the class and sets `_function_spec_step_name` to its + # attribute name. That lets class-level step decorators like + # ``@retry``/``@resources`` forward to the synthetic step. + # + # The `_function_spec_step_name` attribute is not set anywhere else + # in this repo — it is deliberately an extension contract. See the + # DAGNode module comment in graph.py for the wider context. This + # hook may be removed once FunctionSpec is folded into core. + if isinstance(func, type) and hasattr(func, "_function_spec_step_name"): + step_func = getattr(func, func._function_spec_step_name) + if hasattr(step_func, "is_step"): + step_func.decorators.append( + decotype(attributes=kwargs, statically_defined=True) + ) + return func + if not hasattr(func, "is_step"): raise BadStepDecoratorException(decotype.name, func) @@ -1009,7 +1030,11 @@ def step( def step( - f: Union[Callable[[FlowSpecDerived], None], Callable[[FlowSpecDerived, Any], None]], + f=None, + *, + start=False, + end=False, + node_info=None, ): """ Marks a method in a FlowSpec as a Metaflow Step. Note that this @@ -1034,20 +1059,41 @@ def foo(self): Parameters ---------- - f : Union[Callable[[FlowSpecDerived], None], Callable[[FlowSpecDerived, Any], None]] - Function to make into a Metaflow Step + f : callable, optional + Function to make into a Metaflow Step. When using keyword arguments + (e.g. ``@step(start=True)``), this is ``None`` and a decorator + function is returned instead. + start : bool, default False + Mark this step as the start (entry) step of the flow. + end : bool, default False + Mark this step as the end (terminal) step of the flow. + node_info : dict, optional + Extra metadata to attach to this step's DAGNode. Extensions can use + this to store arbitrary information accessible via ``flow._graph`` + (live references) and ``_graph_info`` (serialized via ``to_pod``). Returns ------- - Union[Callable[[FlowSpecDerived, StepFlag], None], Callable[[FlowSpecDerived, Any, StepFlag], None]] - Function that is a Metaflow Step + callable + The decorated function, or a decorator if keyword arguments were used. """ - f.is_step = True - f.decorators = [] - f.config_decorators = [] - f.wrappers = [] - f.name = f.__name__ - return f + + def _apply(func): + func.is_step = True + func.decorators = [] + func.config_decorators = [] + func.wrappers = [] + func.name = func.__name__ + func.is_start_step = start + func.is_end_step = end + func.node_info = node_info or {} + return func + + if f is not None: + # Called as @step (no parens) + return _apply(f) + # Called as @step(start=True) etc. + return _apply def _import_plugin_decorators(globals_dict): diff --git a/metaflow/events.py b/metaflow/events.py index 54c52ecd7d3..0d5972c5ef3 100644 --- a/metaflow/events.py +++ b/metaflow/events.py @@ -57,18 +57,39 @@ def __init__(self, _meta=None): @classmethod def from_runs(cls, run_objs: List["metaflow.Run"]): run_objs.sort(key=lambda x: x.finished_at, reverse=True) - trigger = Trigger( - [ + valid_runs = [] + meta = [] + for run_obj in run_objs: + end_task = run_obj.end_task + if end_task is None: + continue + valid_runs.append(run_obj) + end_step_name = end_task.parent.id + meta.append( { "type": "run", "timestamp": run_obj.finished_at, - "name": "metaflow.%s.%s" % (run_obj.parent.id, run_obj["end"].id), - "id": run_obj.end_task.pathspec, + "name": "metaflow.%s.%s" % (run_obj.parent.id, end_step_name), + "id": end_task.pathspec, } - for run_obj in run_objs - ] - ) - trigger._runs = run_objs + ) + # For custom-named end steps, also emit the well-known ".end" + # alias so downstream code that filters on "metaflow..end" + # keeps matching. This mirrors the dual-emit in + # argo_workflows_decorator.py so the Argo publish path and the + # programmatic Trigger.from_runs path stay symmetric. + if end_step_name != "end": + meta.append( + { + "type": "run", + "timestamp": run_obj.finished_at, + "name": "metaflow.%s.end" % run_obj.parent.id, + "id": end_task.pathspec, + } + ) + + trigger = Trigger(meta) + trigger._runs = valid_runs return trigger @property diff --git a/metaflow/flowspec.py b/metaflow/flowspec.py index b09d95c4c6f..307c19df2c5 100644 --- a/metaflow/flowspec.py +++ b/metaflow/flowspec.py @@ -522,6 +522,8 @@ def _set_constants(self, graph, kwargs, config_options): graph_info = { "file": os.path.basename(os.path.abspath(sys.argv[0])), + "start_step": graph.start_step, + "end_step": graph.end_step, "parameters": parameters_info, "constants": constants_info, "steps": steps_info, diff --git a/metaflow/graph.py b/metaflow/graph.py index 1c5dd53bfc5..aa79ad916cb 100644 --- a/metaflow/graph.py +++ b/metaflow/graph.py @@ -46,20 +46,79 @@ def deindent_docstring(doc): return "" +# --------------------------------------------------------------------------- +# Note on "sourceless" DAGNodes (used by FunctionSpec) +# --------------------------------------------------------------------------- +# FunctionSpec is an upcoming FlowSpec-like construct, currently shipped as an +# out-of-tree extension, that represents a single-computation spec (one +# `@step(start=True, end=True)` method synthesized by a metaclass). Because +# the synthetic step is built dynamically (typically via compile()+exec()), +# `inspect.getsourcelines()` on the resulting function fails and we cannot +# feed it to ast.parse(). +# +# To support FunctionSpec without pulling it into core, DAGNode accepts +# optional `name` and `num_args` kwargs and tolerates `func_ast=None`: +# callers that have an AST (the common @step path) use the AST branch; +# callers that don't (FunctionSpec-style synthesized single steps) supply +# the attributes directly. This is safe for single-step flows because they +# have no `self.next()` transitions to analyze. +# +# `FunctionSpecMeta` sets `_function_spec_step_name` on the generated class +# so step decorators applied at the class level (e.g. `@retry`) can find the +# synthetic step. See also `_create_sourceless_single_step_node` below and +# `_base_step_decorator` in decorators.py. +# +# These hooks may become unnecessary if FunctionSpec is folded into core; +# they are intentionally minimal and narrowly scoped for now. +# --------------------------------------------------------------------------- + + class DAGNode(object): def __init__( - self, func_ast, decos, wrappers, config_decorators, doc, source_file, lineno + self, + func_ast, + decos, + wrappers, + config_decorators, + doc, + source_file, + lineno, + is_start_step=False, + is_end_step=False, + node_info=None, + name=None, + num_args=None, ): - self.name = func_ast.name + # `name` and `num_args` are optional fallbacks used when `func_ast` + # is None (e.g. for FunctionSpec-synthesized steps — see the module + # comment above). The normal @step path always passes a `func_ast` + # and both values are derived from it. + if func_ast is None and name is None: + raise ValueError("name is required when func_ast is None") + + # Prefer explicit `name` (the attribute name under which the step was + # discovered) over the AST-derived `def` name. This matters when a + # metaclass renames a function via __name__ — the attribute name is + # what getattr(cls, node.name) later looks up in FlowSpec._init_graph. + self.name = name if name is not None else func_ast.name self.source_file = source_file # lineno is the start line of decorators in source_file # func_ast.lineno is lines from decorators start to def of function - self.func_lineno = lineno + func_ast.lineno - 1 + if func_ast is not None: + self.func_lineno = lineno + func_ast.lineno - 1 + else: + self.func_lineno = lineno self.decorators = decos self.wrappers = wrappers self.config_decorators = config_decorators self.doc = deindent_docstring(doc) self.parallel_step = any(getattr(deco, "IS_PARALLEL", False) for deco in decos) + # Explicit start/end annotations from @step(start=True) / @step(end=True) + self.is_start_step = is_start_step + self.is_end_step = is_end_step + # Generic metadata dict for extensions to attach extra info to this node. + # Serialized to _graph_info via to_pod; live references accessible via flow._graph. + self.node_info = node_info or {} # these attributes are populated by _parse self.tail_next_lineno = 0 @@ -67,13 +126,17 @@ def __init__( self.out_funcs = [] self.has_tail_next = False self.invalid_tail_next = False - self.num_args = 0 + # num_args: derived from the AST by _parse() in the normal @step path; + # passed in explicitly by callers that synthesize a step without an AST + # (see module comment above). + self.num_args = 0 if num_args is None else num_args self.switch_cases = {} self.condition = None self.foreach_param = None self.num_parallel = 0 self.parallel_foreach = False - self._parse(func_ast, lineno) + if func_ast is not None: + self._parse(func_ast, lineno) # these attributes are populated by _traverse_graph self.in_funcs = set() @@ -140,10 +203,9 @@ def _parse(self, func_ast, lineno): self.num_args = len(func_ast.args.args) tail = func_ast.body[-1] - # end doesn't need a transition - if self.name == "end": - # TYPE: end - self.type = "end" + # Note: type assignment for start/end steps is handled by + # FlowGraph._identify_start_end() based on graph structure, + # not by name. # ensure that the tail an expression if not isinstance(tail, ast.Expr): @@ -212,10 +274,10 @@ def _parse(self, func_ast, lineno): self.type = "split" self.invalid_tail_next = False elif len(self.out_funcs) == 1: - # TYPE: linear - if self.name == "start": - self.type = "start" - elif self.num_args > 1: + # TYPE: linear (or join) + # Note: "start" type is assigned later by + # FlowGraph._identify_start_end() based on structure. + if self.num_args > 1: self.type = "join" else: self.type = "linear" @@ -259,29 +321,138 @@ def __init__(self, flow): self.doc = deindent_docstring(flow.__doc__) # nodes sorted in topological order. self.sorted_nodes = [] + self._identify_start_end() self._traverse_graph() self._postprocess() + def _identify_start_end(self): + """ + Determine the start and end steps. + + Uses explicit @step(start=True) / @step(end=True) annotations if present. + Falls back to steps named "start" / "end" for backward compatibility. + Sets self.start_step and self.end_step to step name strings, or None + if the graph is malformed (validated later by lint). + """ + + def _resolve(attr, fallback_name): + """Find the unique annotated step, or fall back to a named step.""" + annotated = [ + name for name, node in self.nodes.items() if getattr(node, attr) + ] + if len(annotated) == 1: + return annotated[0] + if len(annotated) == 0: + return fallback_name if fallback_name in self.nodes else None + return None # Multiple annotated, lint will catch. + + self.start_step = _resolve("is_start_step", "start") + self.end_step = _resolve("is_end_step", "end") + + # Single-step flow ergonomics: if the flow has exactly one step, that + # step is implicitly both the entry and terminal node. Lets users write + # a bare @step on the single-step case instead of requiring + # @step(start=True, end=True). Skipped when more than one step exists, + # so the explicit-annotation contract still holds for real DAGs. + if len(self.nodes) == 1: + (only_step,) = self.nodes + self.start_step = self.end_step = only_step + + # Assign node types for graph traversal. + # Only upgrade "linear" -> "start" for the entry point; do NOT override + # "split", "foreach", etc. since those types are needed for + # split/join balance checking. + if self.start_step and self.start_step == self.end_step: + # Single-step flow: terminal node that is also the entry point. + self.nodes[self.start_step].type = "end" + else: + if self.start_step: + node = self.nodes[self.start_step] + if node.type in (None, "linear"): + node.type = "start" + if self.end_step: + self.nodes[self.end_step].type = "end" + + def _create_sourceless_single_step_node( + self, name, func, is_start_step, is_end_step + ): + """Create a DAGNode for a dynamically-generated single-step method. + + When ``inspect.getsourcelines()`` fails (e.g. for steps synthesized + via ``compile()`` + ``exec()`` by extension metaclasses like + ``FunctionSpecMeta``), this method builds a DAGNode without AST + parsing. This is safe because single-step flows (``start=True, + end=True``) have no ``self.next()`` transitions to analyze. + + See the module-level comment on DAGNode for the broader FunctionSpec + context. This path may be removed once FunctionSpec is folded into + core; it's intentionally narrow to keep the core FlowSpec path + unaffected. + """ + code = getattr(func, "__code__", None) + source_file = inspect.getsourcefile(func) or inspect.getfile(func) + lineno = getattr(code, "co_firstlineno", 0) + + try: + num_args = len(inspect.signature(func).parameters) + except (TypeError, ValueError): + num_args = getattr(code, "co_argcount", 0) + + return DAGNode( + None, + func.decorators, + func.wrappers, + func.config_decorators, + func.__doc__, + source_file, + lineno, + is_start_step=is_start_step, + is_end_step=is_end_step, + node_info=getattr(func, "node_info", None), + name=name, + num_args=num_args, + ) + def _create_nodes(self, flow): nodes = {} for element in dir(flow): func = getattr(flow, element) if callable(func) and hasattr(func, "is_step"): - source_file = inspect.getsourcefile(func) - source_lines, lineno = inspect.getsourcelines(func) - # This also works for code (strips out leading whitspace based on - # first line) - source_code = deindent_docstring("".join(source_lines)) - function_ast = ast.parse(source_code).body[0] - node = DAGNode( - function_ast, - func.decorators, - func.wrappers, - func.config_decorators, - func.__doc__, - source_file, - lineno, - ) + is_start = getattr(func, "is_start_step", False) + is_end = getattr(func, "is_end_step", False) + + try: + source_file = inspect.getsourcefile(func) or inspect.getfile(func) + source_lines, lineno = inspect.getsourcelines(func) + except OSError: + # No readable source — only tolerated for synthesized + # single-step methods (see DAGNode module comment for + # the FunctionSpec context). Any other @step without a + # source file is genuinely broken, so re-raise. + if is_start and is_end: + node = self._create_sourceless_single_step_node( + element, func, is_start, is_end + ) + else: + raise + else: + # This also works for code (strips out leading whitespace based on + # first line) + source_code = deindent_docstring("".join(source_lines)) + function_ast = ast.parse(source_code).body[0] + node = DAGNode( + function_ast, + func.decorators, + func.wrappers, + func.config_decorators, + func.__doc__, + source_file, + lineno, + is_start_step=is_start, + is_end_step=is_end, + node_info=getattr(func, "node_info", None), + name=element, + ) nodes[element] = node return nodes @@ -338,8 +509,8 @@ def traverse(node, seen, split_parents, split_branches): split_branches + ([n] if add_split_branch else []), ) - if "start" in self: - traverse(self["start"], [], [], []) + if self.start_step and self.start_step in self: + traverse(self[self.start_step], [], [], []) # fix the order of in_funcs for node in self.nodes.values(): @@ -445,6 +616,7 @@ def node_to_dict(name, node): for deco in chain(node.wrappers, node.config_decorators) ], "next": node.out_funcs, + "node_info": to_pod(node.node_info), } if d["type"] == "split-foreach": d["foreach_artifact"] = node.foreach_param @@ -493,9 +665,27 @@ def populate_block(start_name, end_name): break return resulting_list - graph_structure = populate_block("start", "end") + if self.start_step is None or self.end_step is None: + missing = [] + if self.start_step is None: + missing.append("start") + if self.end_step is None: + missing.append("end") + raise ValueError( + "Cannot compute graph structure: no %s step identified. " + "Use @step(start=True)/@step(end=True) or name your steps " + "'start'/'end'." % " or ".join(missing) + ) - steps_info["end"] = node_to_dict("end", self.nodes["end"]) - graph_structure.append("end") + if self.start_step == self.end_step: + # Single-step flow + graph_structure = [] + else: + graph_structure = populate_block(self.start_step, self.end_step) + + steps_info[self.end_step] = node_to_dict( + self.end_step, self.nodes[self.end_step] + ) + graph_structure.append(self.end_step) return steps_info, graph_structure diff --git a/metaflow/lint.py b/metaflow/lint.py index 8f82c813b0d..b95e7ba0e95 100644 --- a/metaflow/lint.py +++ b/metaflow/lint.py @@ -58,23 +58,97 @@ def check_reserved_words(graph): @linter.ensure_fundamentals @linter.check def check_basic_steps(graph): - msg = "Add %s *%s* step in your flow." - for prefix, node in (("a", "start"), ("an", "end")): - if node not in graph: - raise LintWarn(msg % (prefix, node)) + if graph.start_step is None: + annotated = [name for name, node in graph.nodes.items() if node.is_start_step] + if len(annotated) > 1: + raise LintWarn( + "Multiple steps annotated with @step(start=True): %s. " + "Exactly one is allowed." % ", ".join(sorted(annotated)) + ) + raise LintWarn( + "Your flow must have exactly one start step. Either name a step " + "'start' or use @step(start=True)." + ) + if graph.end_step is None: + annotated = [name for name, node in graph.nodes.items() if node.is_end_step] + if len(annotated) > 1: + raise LintWarn( + "Multiple steps annotated with @step(end=True): %s. " + "Exactly one is allowed." % ", ".join(sorted(annotated)) + ) + raise LintWarn( + "Your flow must have exactly one end step. Either name a step " + "'end' or use @step(end=True)." + ) + + +@linter.ensure_fundamentals +@linter.check +def check_annotation_name_conflict(graph): + """Detect conflict between @step(start/end=True) and legacy step names.""" + if ( + graph.start_step is not None + and graph.start_step != "start" + and "start" in graph.nodes + ): + raise LintWarn( + "Ambiguous start step: step '%s' is annotated with @step(start=True) " + "but a step named 'start' also exists. Remove the 'start' name or " + "the @step(start=True) annotation." % graph.start_step + ) + + if graph.end_step is not None and graph.end_step != "end" and "end" in graph.nodes: + raise LintWarn( + "Ambiguous end step: step '%s' is annotated with @step(end=True) " + "but a step named 'end' also exists. Remove the 'end' name or " + "the @step(end=True) annotation." % graph.end_step + ) + + +@linter.ensure_static_graph +@linter.check +def check_start_end_degree(graph): + """Validate that the start step has no incoming and the end step has no outgoing.""" + if graph.start_step is None or graph.end_step is None: + return + + start_node = graph[graph.start_step] + if start_node.in_funcs: + raise LintWarn( + "The start step *%s* has incoming transitions from %s. " + "A start step must have no incoming transitions." + % (graph.start_step, ", ".join(start_node.in_funcs)), + start_node.func_lineno, + start_node.source_file, + ) + + end_node = graph[graph.end_step] + if end_node.out_funcs: + raise LintWarn( + "The end step *%s* has outgoing transitions. " + "An end step must have no outgoing transitions (no self.next())." + % graph.end_step, + end_node.func_lineno, + end_node.source_file, + ) @linter.ensure_static_graph @linter.check def check_that_end_is_end(graph): - msg0 = "The *end* step should not have a step.next() transition. " "Just remove it." + if graph.end_step is None: + return + + node = graph[graph.end_step] + msg0 = ( + "The terminal step *%s* should not have a self.next() transition. " + "Just remove it." % graph.end_step + ) msg1 = ( - "The *end* step should not be a join step (it gets an extra " - "argument). Add a join step before it." + "The terminal step *%s* should not be a join step (it gets an extra " + "argument). Add a join step before it." % graph.end_step ) - node = graph["end"] - if node.has_tail_next or node.invalid_tail_next: raise LintWarn(msg0, node.tail_next_lineno, node.source_file) if node.num_args > 1: @@ -192,11 +266,14 @@ def check_path(node, seen): @linter.ensure_static_graph @linter.check def check_for_orphans(graph): + if graph.start_step is None: + return + msg = ( - "Step *{0.name}* is unreachable from the start step. Add " - "self.next({0.name}) in another step or remove *{0.name}*." + "Step *{0.name}* is unreachable from the entry step *%s*. Add " + "self.next({0.name}) in another step or remove *{0.name}*." % graph.start_step ) - seen = set(["start"]) + seen = set([graph.start_step]) def traverse(node): for n in node.out_funcs: @@ -204,7 +281,7 @@ def traverse(node): seen.add(n) traverse(graph[n]) - traverse(graph["start"]) + traverse(graph[graph.start_step]) nodeset = frozenset(n.name for n in graph) orphans = nodeset - seen if orphans: @@ -215,9 +292,12 @@ def traverse(node): @linter.ensure_static_graph @linter.check def check_split_join_balance(graph): + if graph.start_step is None or graph.end_step is None: + return + msg0 = ( - "Step *end* reached before a split started at step(s) *{roots}* " - "were joined. Add a join step before *end*." + "The terminal step *{end}* was reached before a split started at step(s) " + "*{roots}* were joined. Add a join step before *{end}*." ) msg1 = ( "Step *{0.name}* seems like a join step (it takes an extra input " @@ -253,7 +333,9 @@ def traverse(node, split_stack): _, split_roots = split_stack.pop() roots = ", ".join(split_roots) raise LintWarn( - msg0.format(roots=roots), node.func_lineno, node.source_file + msg0.format(roots=roots, end=graph.end_step), + node.func_lineno, + node.source_file, ) elif node.type == "join": new_stack = split_stack @@ -301,7 +383,7 @@ def parents(n): continue traverse(graph[n], new_stack) - traverse(graph["start"], []) + traverse(graph[graph.start_step], []) @linter.ensure_static_graph diff --git a/metaflow/plugins/airflow/airflow.py b/metaflow/plugins/airflow/airflow.py index a2c39899599..43ef65efacb 100644 --- a/metaflow/plugins/airflow/airflow.py +++ b/metaflow/plugins/airflow/airflow.py @@ -289,7 +289,7 @@ def _to_job(self, node): # The below if/else block handles "input paths". # Input Paths help manage dataflow across the graph. - if node.name == "start": + if node.name == self.graph.start_step: # POSSIBLE_FUTURE_IMPROVEMENT: # We can extract metadata about the possible upstream sensor triggers. # There is a previous commit (7bdf6) in the `airflow` branch that has `SensorMetaExtractor` class and @@ -561,7 +561,7 @@ def _step_cli(self, node, paths, code_package_url, user_code_retries): "--with=airflow_internal", ] - if node.name == "start": + if node.name == self.graph.start_step: # We need a separate unique ID for the special _parameters task task_id_params = "%s-params" % AIRFLOW_MACROS.create_task_id( self.contains_foreach @@ -749,7 +749,7 @@ def _visit(node, workflow, exit_node=None): ), **airflow_dag_args ) - workflow = _visit(self.graph["start"], workflow) + workflow = _visit(self.graph[self.graph.start_step], workflow) workflow.set_parameters(self.parameters) if len(appending_sensors) > 0: diff --git a/metaflow/plugins/airflow/airflow_cli.py b/metaflow/plugins/airflow/airflow_cli.py index b3afba4189a..75420475c6c 100644 --- a/metaflow/plugins/airflow/airflow_cli.py +++ b/metaflow/plugins/airflow/airflow_cli.py @@ -371,7 +371,7 @@ def traverse_graph(node, state): for func in node.out_funcs: traverse_graph(graph[func], state) - traverse_graph(graph["start"], {}) + traverse_graph(graph[graph.start_step], {}) def _validate_workflow(flow, graph, flow_datastore, metadata, workflow_timeout): diff --git a/metaflow/plugins/argo/argo_workflows.py b/metaflow/plugins/argo/argo_workflows.py index 105c65ae598..b49c0f252f6 100644 --- a/metaflow/plugins/argo/argo_workflows.py +++ b/metaflow/plugins/argo/argo_workflows.py @@ -1206,8 +1206,9 @@ def _is_recursive_node(self, node): return node.name in self.recursive_nodes def _matching_conditional_join(self, node): - # If no earlier conditional join step is found during parsing, then 'end' is always one. - return self.matching_conditional_join_dict.get(node.name, "end") + # If no earlier conditional join step is found during parsing, + # fall back to the graph's terminal step. + return self.matching_conditional_join_dict.get(node.name, self.graph.end_step) # Visit every node and yield the uber DAGTemplate(s). def _dag_templates(self): @@ -1243,7 +1244,7 @@ def _visit( # helper variable for recursive conditional inputs has_foreach_inputs = False - if node.name == "start": + if node.name == self.graph.start_step: # Start node has no dependencies. dag_task = DAGTask(self._sanitize(node.name)).template( self._sanitize(node.name) @@ -1945,7 +1946,9 @@ def build_ancestor_tree(node_groups, switch_ancestors): for daemon_template in self._daemon_templates() ] - templates, dag_tasks = _visit(node=self.graph["start"], dag_tasks=daemon_tasks) + templates, dag_tasks = _visit( + node=self.graph[self.graph.start_step], dag_tasks=daemon_tasks + ) # Add the DAG template only after fully traversing the graph so we are guaranteed to have all the dag_tasks collected. templates.append( Template(self.flow.name).dag(DAGTemplate().fail_fast().tasks(dag_tasks)) @@ -1997,7 +2000,7 @@ def _container_templates(self): # input paths and parallel join will derive input paths based on a # formulaic approach using `num-parallel` and `task-id-entropy`. if not ( - node.name == "start" + node.name == self.graph.start_step or (node.type == "join" and self.graph[node.in_funcs[0]].parallel_step) ): # For parallel joins we don't pass the INPUT_PATHS but are dynamically constructed. @@ -2160,7 +2163,7 @@ def _container_templates(self): % self.auto_emit_argo_events, ] - if node.name == "start": + if node.name == self.graph.start_step: # Execute `init` before any step of the workflow executes task_id_params = "%s-params" % task_id init = ( @@ -2457,7 +2460,7 @@ def _container_templates(self): # input paths and parallel join will derive input paths based on a # formulaic approach. if not ( - node.name == "start" + node.name == self.graph.start_step or (node.type == "join" and self.graph[node.in_funcs[0]].parallel_step) ): inputs.append(Parameter("input-paths")) @@ -2511,7 +2514,7 @@ def _container_templates(self): outputs = [] # @parallel steps will not have a task-id as an output parameter since task-ids # are derived at runtime. - if not (node.name == "end" or node.parallel_step): + if not (node.name == self.graph.end_step or node.parallel_step): outputs = [Parameter("task-id").valueFrom({"path": "/mnt/out/task_id"})] # If this step is a split-switch one, we need to output the switch step name @@ -2983,7 +2986,7 @@ def _lifecycle_hooks(self): def _lifecycle_hook_from_deco(self, deco): from kubernetes import client as kubernetes_sdk - start_step = [step for step in self.graph if step.name == "start"][0] + start_step = self.graph[self.graph.start_step] # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster, # and it might contain the required libraries, allowing us to start up faster. start_kube_deco = [ @@ -3130,7 +3133,7 @@ def _exit_hook_templates(self): def _error_msg_capture_hook_templates(self): from kubernetes import client as kubernetes_sdk - start_step = [step for step in self.graph if step.name == "start"][0] + start_step = self.graph[self.graph.start_step] # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster, # and it might contain the required libraries, allowing us to start up faster. resources = dict( @@ -3693,7 +3696,7 @@ def _heartbeat_daemon_template(self): # We want to grab the base image used by the start step, as this is known to be pullable from within the cluster, # and it might contain the required libraries, allowing us to start up faster. - start_step = next(step for step in self.flow if step.name == "start") + start_step = self.graph[self.graph.start_step] resources = dict( [deco for deco in start_step.decorators if deco.name == "kubernetes"][ 0 diff --git a/metaflow/plugins/argo/argo_workflows_decorator.py b/metaflow/plugins/argo/argo_workflows_decorator.py index 67c8fd91363..172d5c77ab4 100644 --- a/metaflow/plugins/argo/argo_workflows_decorator.py +++ b/metaflow/plugins/argo/argo_workflows_decorator.py @@ -65,7 +65,7 @@ def task_pre_step( # size of the metadata field yet! However we don't really need this # metadata outside of the start step so we can save a few bytes in the # db. - if step_name == "start": + if step_name == graph.start_step: meta["execution-triggers"] = json.dumps(triggers) meta["argo-workflow-template"] = os.environ["ARGO_WORKFLOW_TEMPLATE"] @@ -152,33 +152,49 @@ def task_finished( # place explicit dependencies on namespaced events. Also, argo events # sensors don't allow for filtering against absent fields - which limits # our ability to subset non-project namespaced events. + # For the end step, we always publish with the well-known ".end" + # suffix (in addition to its actual name) so @trigger_on_finish + # subscribers — which don't know the publisher's end step name at + # deploy time — continue to work with custom-named end steps. # TODO: Check length limits for fields in Argo Events - event = ArgoEvent( - name="metaflow.%s.%s" + event_names = [ + "metaflow.%s.%s" % (current.get("project_flow_name", flow.name), step_name) - ) - # There should only be one event generated even when the task is retried. - # Take care to only add to the list and not modify existing values. - event.add_to_payload("id", current.pathspec) - event.add_to_payload("pathspec", current.pathspec) - event.add_to_payload("flow_name", flow.name) - event.add_to_payload("run_id", self.run_id) - event.add_to_payload("step_name", step_name) - event.add_to_payload("task_id", self.task_id) - # Add @project decorator related fields. These are used to subset - # @trigger_on_finish related filters. - for key in ( - "project_name", - "branch_name", - "is_user_branch", - "is_production", - "project_flow_name", - ): - if current.get(key): - event.add_to_payload(key, current.get(key)) - # Add more fields here... - event.add_to_payload("auto-generated-by-metaflow", True) - # Keep in mind that any errors raised here will fail the run but the task - # will still be marked as success. That's why we explicitly swallow any - # errors and instead print them to std.err. - event.safe_publish(ignore_errors=True) + ] + if step_name == graph.end_step and step_name != "end": + event_names.append( + "metaflow.%s.end" % current.get("project_flow_name", flow.name) + ) + + # Note on idempotency: we publish one ArgoEvent per name in + # event_names (1 for most steps, 2 for custom-named end steps + # due to the ".end" alias). Retries of the same task will + # re-publish the same event(s); the `id` payload (current.pathspec) + # is stable across retries so Argo Events-side filtering can + # dedupe if needed. When adding fields below, only add to the + # payload — don't mutate existing values. + for event_name in event_names: + event = ArgoEvent(name=event_name) + event.add_to_payload("id", current.pathspec) + event.add_to_payload("pathspec", current.pathspec) + event.add_to_payload("flow_name", flow.name) + event.add_to_payload("run_id", self.run_id) + event.add_to_payload("step_name", step_name) + event.add_to_payload("task_id", self.task_id) + # Add @project decorator related fields. These are used to subset + # @trigger_on_finish related filters. + for key in ( + "project_name", + "branch_name", + "is_user_branch", + "is_production", + "project_flow_name", + ): + if current.get(key): + event.add_to_payload(key, current.get(key)) + # Add more fields here... + event.add_to_payload("auto-generated-by-metaflow", True) + # Keep in mind that any errors raised here will fail the run but the task + # will still be marked as success. That's why we explicitly swallow any + # errors and instead print them to std.err. + event.safe_publish(ignore_errors=True) diff --git a/metaflow/plugins/aws/step_functions/step_functions.py b/metaflow/plugins/aws/step_functions/step_functions.py index 3c36a97efe9..b3e191bd987 100644 --- a/metaflow/plugins/aws/step_functions/step_functions.py +++ b/metaflow/plugins/aws/step_functions/step_functions.py @@ -240,7 +240,9 @@ def get_existing_deployment(cls, name): workflow = StepFunctionsClient().get(name) if workflow is not None: try: - start = json.loads(workflow["definition"])["States"]["start"] + definition = json.loads(workflow["definition"]) + start_state_name = definition.get("StartAt", "start") + start = definition["States"][start_state_name] parameters = start["Parameters"]["Parameters"] return parameters.get("metaflow.owner"), parameters.get( "metaflow.production_token" @@ -271,13 +273,22 @@ def get_execution(cls, state_machine_name, name): ) try: state_machine_arn = state_machine.get("stateMachineArn") + definition = json.loads(state_machine.get("definition")) + start_state_name = definition.get("StartAt", "start") + # Explicit guards rather than chained .get() so we produce + # readable errors if the state machine has an unexpected shape + # (e.g., deployed by something other than Metaflow). + states = definition.get("States") or {} + start_state = states.get(start_state_name) + if start_state is None: + raise StepFunctionsException( + "State machine *%s* has no state named *%s* in its " + "States block." % (state_machine_name, start_state_name) + ) environment_vars = ( - json.loads(state_machine.get("definition")) - .get("States") - .get("start") - .get("Parameters") - .get("ContainerOverrides") - .get("Environment") + start_state.get("Parameters", {}) + .get("ContainerOverrides", {}) + .get("Environment", []) ) parameters = { item.get("Name"): item.get("Value") for item in environment_vars @@ -478,10 +489,10 @@ def _visit(node, workflow, exit_node=None): ) return workflow - workflow = Workflow(self.name).start_at("start") + workflow = Workflow(self.name).start_at(self.graph.start_step) if self.workflow_timeout: workflow.timeout_seconds(self.workflow_timeout) - return _visit(self.graph["start"], workflow) + return _visit(self.graph[self.graph.start_step], workflow) def _cron(self): schedule = self.flow._flow_decorators.get("schedule") @@ -597,7 +608,7 @@ def _batch(self, node): # Store production token within the `start` step, so that subsequent # `step-functions create` calls can perform a rudimentary authorization # check. - if node.name == "start": + if node.name == self.graph.start_step: attrs["metaflow.production_token"] = self.production_token # Add env vars from the optional @environment decorator. @@ -610,7 +621,7 @@ def _batch(self, node): if S3_ENDPOINT_URL is not None: env["METAFLOW_S3_ENDPOINT_URL"] = S3_ENDPOINT_URL - if node.name == "start": + if node.name == self.graph.start_step: # metaflow.run_id maps to AWS Step Functions State Machine Execution in all # cases except for when within a for-each construct that relies on # Distributed Map. To work around this issue, we pass the run id from the @@ -956,7 +967,7 @@ def _step_cli(self, node, paths, code_package_url, user_code_retries): "--with=step_functions_internal", ] - if node.name == "start": + if node.name == self.graph.start_step: # We need a separate unique ID for the special _parameters task task_id_params = "%s-params" % task_id # Export user-defined parameters into runtime environment diff --git a/metaflow/plugins/cards/card_cli.py b/metaflow/plugins/cards/card_cli.py index a44c31bfc98..5fed227de30 100644 --- a/metaflow/plugins/cards/card_cli.py +++ b/metaflow/plugins/cards/card_cli.py @@ -649,6 +649,15 @@ def create( full_pathspec = "/".join([flowname, pathspec]) graph_dict, _ = ctx.obj.graph.output_steps() + # Backward-compat: `graph` keeps the old shape (dict of step_name -> info) + # so third-party card modules that expect the pre-annotation format continue + # to work. New cards should use `graph_info` which carries start/end + # metadata needed for flows with custom-named entry/terminal steps. + graph_info = { + "steps": graph_dict, + "start_step": ctx.obj.graph.start_step, + "end_step": ctx.obj.graph.end_step, + } if card_uuid is None: card_uuid = str(uuid.uuid4()).replace("-", "") @@ -698,16 +707,33 @@ def create( # then check for render_error_card and accordingly # store the exception as a string or raise the exception try: + # Probe for `graph_info` support so we can stay backward compatible + # with third-party card modules whose __init__ only accepts `graph`. + import inspect as _inspect + + try: + accepts_graph_info = ( + "graph_info" in _inspect.signature(filtered_card).parameters + ) + except (TypeError, ValueError): + accepts_graph_info = False + + extra_kwargs = {"graph_info": graph_info} if accepts_graph_info else {} + if options is not None: mf_card = filtered_card( options=options, components=component_arr, graph=graph_dict, flow=ctx.obj.flow, + **extra_kwargs, ) else: mf_card = filtered_card( - components=component_arr, graph=graph_dict, flow=ctx.obj.flow + components=component_arr, + graph=graph_dict, + flow=ctx.obj.flow, + **extra_kwargs, ) except TypeError as e: if render_error_card: diff --git a/metaflow/plugins/cards/card_modules/basic.py b/metaflow/plugins/cards/card_modules/basic.py index f578a9e03fc..79e83963300 100644 --- a/metaflow/plugins/cards/card_modules/basic.py +++ b/metaflow/plugins/cards/card_modules/basic.py @@ -12,7 +12,17 @@ CSS_PATH = os.path.join(ABS_DIR_PATH, "bundle.css") -def transform_flow_graph(step_info): +def transform_flow_graph(graph): + # new graph format + if "steps" in graph and "start_step" in graph and "end_step" in graph: + step_info = graph["steps"] + start_step = graph["start_step"] + end_step = graph["end_step"] + else: + step_info = graph + start_step = "start" if "start" in graph else None + end_step = "end" if "end" in graph else None + def node_to_type(node_type): if node_type in ["linear", "start", "end", "join"]: return node_type @@ -47,7 +57,11 @@ def node_to_type(node_type): graph_dict[stepname] = node_info - return graph_dict + return { + "steps": graph_dict, + "start_step": start_step, + "end_step": end_step, + } def read_file(path): @@ -603,9 +617,15 @@ class ErrorCard(MetaflowCard): RELOAD_POLICY = MetaflowCard.RELOAD_POLICY_ONCHANGE - def __init__(self, options={}, components=[], graph=None, **kwargs): + def __init__( + self, options={}, components=[], graph=None, graph_info=None, **kwargs + ): self._only_repr = True - self._graph = None if graph is None else transform_flow_graph(graph) + # Prefer graph_info (carries start_step/end_step metadata) when available + _graph_source = graph_info if graph_info is not None else graph + self._graph = ( + None if _graph_source is None else transform_flow_graph(_graph_source) + ) self._components = components def reload_content_token(self, task, data): @@ -664,11 +684,15 @@ def __init__( options=dict(only_repr=True), components=[], graph=None, + graph_info=None, flow=None, **kwargs ): self._only_repr = True - self._graph = None if graph is None else transform_flow_graph(graph) + _graph_source = graph_info if graph_info is not None else graph + self._graph = ( + None if _graph_source is None else transform_flow_graph(_graph_source) + ) self._flow = flow if "only_repr" in options: self._only_repr = options["only_repr"] @@ -700,13 +724,17 @@ def __init__( options=dict(only_repr=True), components=[], graph=None, + graph_info=None, flow=None, **kwargs ): self._only_repr = True # Default max artifact size uses the global MAX_ARTIFACT_SIZE constant (200MB) self._max_artifact_size = MAX_ARTIFACT_SIZE - self._graph = None if graph is None else transform_flow_graph(graph) + _graph_source = graph_info if graph_info is not None else graph + self._graph = ( + None if _graph_source is None else transform_flow_graph(_graph_source) + ) self._flow = flow if "only_repr" 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ae={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:qh,tag:"^comment|^|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^|^",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:((?!\*)[punct])|[^\s*]))|^_+(?:((?!_)[punct])|([^\s_]))/,rDelimAst:/^[^_*]*?__[^_*]*?\*[^_*]*?(?=__)|[^*]+(?=[^*])|(?!\*)[punct](\*+)(?=[\s]|$)|[^punct\s](\*+)(?!\*)(?=[punct\s]|$)|(?!\*)[punct\s](\*+)(?=[^punct\s])|[\s](\*+)(?!\*)(?=[punct])|(?!\*)[punct](\*+)(?!\*)(?=[punct])|[^punct\s](\*+)(?=[^punct\s])/,rDelimUnd:/^[^_*]*?\*\*[^_*]*?_[^_*]*?(?=\*\*)|[^_]+(?=[^_])|(?!_)[punct](_+)(?=[\s]|$)|[^punct\s](_+)(?!_)(?=[punct\s]|$)|(?!_)[punct\s](_+)(?=[^punct\s])|[\s](_+)(?!_)(?=[punct])|(?!_)[punct](_+)(?!_)(?=[punct])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:qh,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\`^|~",ae.punctuation=st(ae.punctuation,"u").replace(/punctuation/g,ae._punctuation).getRegex(),ae.blockSkip=/\[[^[\]]*?\]\([^\(\)]*?\)|`[^`]*?`|<[^<>]*?>/g,ae.anyPunctuation=/\\[punct]/g,ae._escapes=/\\([punct])/g,ae._comment=st(Fe._comment).replace("(?:-->|$)","-->").getRegex(),ae.emStrong.lDelim=st(ae.emStrong.lDelim,"u").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimAst=st(ae.emStrong.rDelimAst,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimUnd=st(ae.emStrong.rDelimUnd,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.anyPunctuation=st(ae.anyPunctuation,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._escapes=st(ae._escapes,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,ae._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,ae.autolink=st(ae.autolink).replace("scheme",ae._scheme).replace("email",ae._email).getRegex(),ae._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,ae.tag=st(ae.tag).replace("comment",ae._comment).replace("attribute",ae._attribute).getRegex(),ae._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,ae._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,ae._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,ae.link=st(ae.link).replace("label",ae._label).replace("href",ae._href).replace("title",ae._title).getRegex(),ae.reflink=st(ae.reflink).replace("label",ae._label).replace("ref",Fe._label).getRegex(),ae.nolink=st(ae.nolink).replace("ref",Fe._label).getRegex(),ae.reflinkSearch=st(ae.reflinkSearch,"g").replace("reflink",ae.reflink).replace("nolink",ae.nolink).getRegex(),ae.normal={...ae},ae.pedantic={...ae.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:st(/^!?\[(label)\]\((.*?)\)/).replace("label",ae._label).getRegex(),reflink:st(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",ae._label).getRegex()},ae.gfm={...ae.normal,escape:st(ae.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\.5&&(i="x"+i.toString(16)),t+="&#"+i+";";return t}class cr{constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||vo,this.options.tokenizer=this.options.tokenizer||new Hh,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:Fe.normal,inline:ae.normal};this.options.pedantic?(n.block=Fe.pedantic,n.inline=ae.pedantic):this.options.gfm&&(n.block=Fe.gfm,this.options.breaks?n.inline=ae.breaks:n.inline=ae.gfm),this.tokenizer.rules=n}static get rules(){return{block:Fe,inline:ae}}static lex(t,n){return new cr(n).lex(t)}static lexInline(t,n){return new cr(n).inlineTokens(t)}lex(t){t=t.replace(/\r\n|\r/g,` -`),this.blockTokens(t,this.tokens);let n;for(;n=this.inlineQueue.shift();)this.inlineTokens(n.src,n.tokens);return this.tokens}blockTokens(t,n=[]){this.options.pedantic?t=t.replace(/\t/g," ").replace(/^ +$/gm,""):t=t.replace(/^( *)(\t+)/gm,(a,u,l)=>u+" ".repeat(l.length));let i,r,s,o;for(;t;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some(a=>(i=a.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))){if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length),i.raw.length===1&&n.length>0?n[n.length-1].raw+=` +`+f.slice(o);else{if(l||c.search(/[^ ]/)>=4||k.test(c)||w.test(c)||x.test(c))break;h+=` +`+f}!l&&!f.trim()&&(l=!0),i+=d+` +`,t=t.substring(d.length+1),c=f.slice(o)}}y.loose||(u?y.loose=!0:/\n *\n *$/.test(i)&&(u=!0)),this.options.gfm&&(r=/^\[[ xX]\] /.exec(h),r&&(s=r[0]!=="[ ] ",h=h.replace(/^\[[ xX]\] +/,""))),y.items.push({type:"list_item",raw:i,task:!!r,checked:s,loose:!1,text:h}),y.raw+=i}y.items[y.items.length-1].raw=i.trimRight(),y.items[y.items.length-1].text=h.trimRight(),y.raw=y.raw.trimRight();const v=y.items.length;for(a=0;ak.type==="space"),x=_.length>0&&_.some(k=>/\n.*\n/.test(k.raw));y.loose=x}if(y.loose)for(a=0;a$/,"$1").replace(this.rules.inline._escapes,"$1"):"",s=n[3]?n[3].substring(1,n[3].length-1).replace(this.rules.inline._escapes,"$1"):n[3];return{type:"def",tag:i,raw:n[0],href:r,title:s}}}table(t){const n=this.rules.block.table.exec(t);if(n){const i={type:"table",header:z6(n[1]).map(r=>({text:r})),align:n[2].replace(/^ *|\| *$/g,"").split(/ *\| */),rows:n[3]&&n[3].trim()?n[3].replace(/\n[ \t]*$/,"").split(` +`):[]};if(i.header.length===i.align.length){i.raw=n[0];let r=i.align.length,s,o,a,l;for(s=0;s({text:u}));for(r=i.header.length,o=0;o/i.test(n[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&/^<(pre|code|kbd|script)(\s|>)/i.test(n[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&/^<\/(pre|code|kbd|script)(\s|>)/i.test(n[0])&&(this.lexer.state.inRawBlock=!1),{type:this.options.sanitize?"text":"html",raw:n[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:this.options.sanitize?this.options.sanitizer?this.options.sanitizer(n[0]):yn(n[0]):n[0]}}link(t){const n=this.rules.inline.link.exec(t);if(n){const i=n[2].trim();if(!this.options.pedantic&&/^$/.test(i))return;const o=_h(i.slice(0,-1),"\\");if((i.length-o.length)%2===0)return}else{const o=aj(n[2],"()");if(o>-1){const l=(n[0].indexOf("!")===0?5:4)+n[1].length+o;n[2]=n[2].substring(0,o),n[0]=n[0].substring(0,l).trim(),n[3]=""}}let r=n[2],s="";if(this.options.pedantic){const o=/^([^'"]*[^\s])\s+(['"])(.*)\2/.exec(r);o&&(r=o[1],s=o[3])}else s=n[3]?n[3].slice(1,-1):"";return r=r.trim(),/^$/.test(i)?r=r.slice(1):r=r.slice(1,-1)),B6(n,{href:r&&r.replace(this.rules.inline._escapes,"$1"),title:s&&s.replace(this.rules.inline._escapes,"$1")},n[0],this.lexer)}}reflink(t,n){let i;if((i=this.rules.inline.reflink.exec(t))||(i=this.rules.inline.nolink.exec(t))){let r=(i[2]||i[1]).replace(/\s+/g," ");if(r=n[r.toLowerCase()],!r){const s=i[0].charAt(0);return{type:"text",raw:s,text:s}}return B6(i,r,i[0],this.lexer)}}emStrong(t,n,i=""){let r=this.rules.inline.emStrong.lDelim.exec(t);if(!r||r[3]&&i.match(/[\p{L}\p{N}]/u))return;if(!(r[1]||r[2]||"")||!i||this.rules.inline.punctuation.exec(i)){const o=r[0].length-1;let a,l,u=o,c=0;const f=r[0][0]==="*"?this.rules.inline.emStrong.rDelimAst:this.rules.inline.emStrong.rDelimUnd;for(f.lastIndex=0,n=n.slice(-1*t.length+o);(r=f.exec(n))!=null;){if(a=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!a)continue;if(l=a.length,r[3]||r[4]){u+=l;continue}else if((r[5]||r[6])&&o%3&&!((o+l)%3)){c+=l;continue}if(u-=l,u>0)continue;l=Math.min(l,l+u+c);const d=t.slice(0,o+r.index+l+1);if(Math.min(o,l)%2){const p=d.slice(1,-1);return{type:"em",raw:d,text:p,tokens:this.lexer.inlineTokens(p)}}const h=d.slice(2,-2);return{type:"strong",raw:d,text:h,tokens:this.lexer.inlineTokens(h)}}}}codespan(t){const n=this.rules.inline.code.exec(t);if(n){let i=n[2].replace(/\n/g," ");const r=/[^ ]/.test(i),s=/^ /.test(i)&&/ $/.test(i);return r&&s&&(i=i.substring(1,i.length-1)),i=yn(i,!0),{type:"codespan",raw:n[0],text:i}}}br(t){const n=this.rules.inline.br.exec(t);if(n)return{type:"br",raw:n[0]}}del(t){const n=this.rules.inline.del.exec(t);if(n)return{type:"del",raw:n[0],text:n[2],tokens:this.lexer.inlineTokens(n[2])}}autolink(t,n){const i=this.rules.inline.autolink.exec(t);if(i){let r,s;return i[2]==="@"?(r=yn(this.options.mangle?n(i[1]):i[1]),s="mailto:"+r):(r=yn(i[1]),s=r),{type:"link",raw:i[0],text:r,href:s,tokens:[{type:"text",raw:r,text:r}]}}}url(t,n){let i;if(i=this.rules.inline.url.exec(t)){let r,s;if(i[2]==="@")r=yn(this.options.mangle?n(i[0]):i[0]),s="mailto:"+r;else{let o;do o=i[0],i[0]=this.rules.inline._backpedal.exec(i[0])[0];while(o!==i[0]);r=yn(i[0]),i[1]==="www."?s="http://"+i[0]:s=i[0]}return{type:"link",raw:i[0],text:r,href:s,tokens:[{type:"text",raw:r,text:r}]}}}inlineText(t,n){const i=this.rules.inline.text.exec(t);if(i){let r;return this.lexer.state.inRawBlock?r=this.options.sanitize?this.options.sanitizer?this.options.sanitizer(i[0]):yn(i[0]):i[0]:r=yn(this.options.smartypants?n(i[0]):i[0]),{type:"text",raw:i[0],text:r}}}}const Ae={newline:/^(?: *(?:\n|$))+/,code:/^( {4}[^\n]+(?:\n(?: *(?:\n|$))*)?)+/,fences:/^ {0,3}(`{3,}(?=[^`\n]*(?:\n|$))|~{3,})([^\n]*)(?:\n|$)(?:|([\s\S]*?)(?:\n|$))(?: {0,3}\1[~`]* *(?=\n|$)|$)/,hr:/^ {0,3}((?:-[\t ]*){3,}|(?:_[ \t]*){3,}|(?:\*[ \t]*){3,})(?:\n+|$)/,heading:/^ {0,3}(#{1,6})(?=\s|$)(.*)(?:\n+|$)/,blockquote:/^( {0,3}> ?(paragraph|[^\n]*)(?:\n|$))+/,list:/^( {0,3}bull)([ \t][^\n]+?)?(?:\n|$)/,html:"^ {0,3}(?:<(script|pre|style|textarea)[\\s>][\\s\\S]*?(?:[^\\n]*\\n+|$)|comment[^\\n]*(\\n+|$)|<\\?[\\s\\S]*?(?:\\?>\\n*|$)|\\n*|$)|\\n*|$)|)[\\s\\S]*?(?:(?:\\n *)+\\n|$)|<(?!script|pre|style|textarea)([a-z][\\w-]*)(?:attribute)*? */?>(?=[ \\t]*(?:\\n|$))[\\s\\S]*?(?:(?:\\n *)+\\n|$)|(?=[ \\t]*(?:\\n|$))[\\s\\S]*?(?:(?:\\n *)+\\n|$))",def:/^ {0,3}\[(label)\]: *(?:\n *)?([^<\s][^\s]*|<.*?>)(?:(?: +(?:\n *)?| *\n *)(title))? *(?:\n+|$)/,table:vh,lheading:/^((?:(?!^bull ).|\n(?!\n|bull ))+?)\n {0,3}(=+|-+) *(?:\n+|$)/,_paragraph:/^([^\n]+(?:\n(?!hr|heading|lheading|blockquote|fences|list|html|table| +\n)[^\n]+)*)/,text:/^[^\n]+/};Ae._label=/(?!\s*\])(?:\\.|[^\[\]\\])+/,Ae._title=/(?:"(?:\\"?|[^"\\])*"|'[^'\n]*(?:\n[^'\n]+)*\n?'|\([^()]*\))/,Ae.def=it(Ae.def).replace("label",Ae._label).replace("title",Ae._title).getRegex(),Ae.bullet=/(?:[*+-]|\d{1,9}[.)])/,Ae.listItemStart=it(/^( *)(bull) */).replace("bull",Ae.bullet).getRegex(),Ae.list=it(Ae.list).replace(/bull/g,Ae.bullet).replace("hr","\\n+(?=\\1?(?:(?:- *){3,}|(?:_ *){3,}|(?:\\* *){3,})(?:\\n+|$))").replace("def","\\n+(?="+Ae.def.source+")").getRegex(),Ae._tag="address|article|aside|base|basefont|blockquote|body|caption|center|col|colgroup|dd|details|dialog|dir|div|dl|dt|fieldset|figcaption|figure|footer|form|frame|frameset|h[1-6]|head|header|hr|html|iframe|legend|li|link|main|menu|menuitem|meta|nav|noframes|ol|optgroup|option|p|param|section|source|summary|table|tbody|td|tfoot|th|thead|title|tr|track|ul",Ae._comment=/|$)/,Ae.html=it(Ae.html,"i").replace("comment",Ae._comment).replace("tag",Ae._tag).replace("attribute",/ +[a-zA-Z:_][\w.:-]*(?: *= *"[^"\n]*"| *= *'[^'\n]*'| *= *[^\s"'=<>`]+)?/).getRegex(),Ae.lheading=it(Ae.lheading).replace(/bull/g,Ae.bullet).getRegex(),Ae.paragraph=it(Ae._paragraph).replace("hr",Ae.hr).replace("heading"," {0,3}#{1,6} ").replace("|lheading","").replace("|table","").replace("blockquote"," {0,3}>").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ae._tag).getRegex(),Ae.blockquote=it(Ae.blockquote).replace("paragraph",Ae.paragraph).getRegex(),Ae.normal={...Ae},Ae.gfm={...Ae.normal,table:"^ *([^\\n ].*\\|.*)\\n {0,3}(?:\\| *)?(:?-+:? *(?:\\| *:?-+:? *)*)(?:\\| *)?(?:\\n((?:(?! *\\n|hr|heading|blockquote|code|fences|list|html).*(?:\\n|$))*)\\n*|$)"},Ae.gfm.table=it(Ae.gfm.table).replace("hr",Ae.hr).replace("heading"," {0,3}#{1,6} ").replace("blockquote"," {0,3}>").replace("code"," {4}[^\\n]").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ae._tag).getRegex(),Ae.gfm.paragraph=it(Ae._paragraph).replace("hr",Ae.hr).replace("heading"," {0,3}#{1,6} ").replace("|lheading","").replace("table",Ae.gfm.table).replace("blockquote"," {0,3}>").replace("fences"," {0,3}(?:`{3,}(?=[^`\\n]*\\n)|~{3,})[^\\n]*\\n").replace("list"," {0,3}(?:[*+-]|1[.)]) ").replace("html",")|<(?:script|pre|style|textarea|!--)").replace("tag",Ae._tag).getRegex(),Ae.pedantic={...Ae.normal,html:it(`^ *(?:comment *(?:\\n|\\s*$)|<(tag)[\\s\\S]+? *(?:\\n{2,}|\\s*$)|\\s]*)*?/?> *(?:\\n{2,}|\\s*$))`).replace("comment",Ae._comment).replace(/tag/g,"(?!(?:a|em|strong|small|s|cite|q|dfn|abbr|data|time|code|var|samp|kbd|sub|sup|i|b|u|mark|ruby|rt|rp|bdi|bdo|span|br|wbr|ins|del|img)\\b)\\w+(?!:|[^\\w\\s@]*@)\\b").getRegex(),def:/^ *\[([^\]]+)\]: *]+)>?(?: +(["(][^\n]+[")]))? *(?:\n+|$)/,heading:/^(#{1,6})(.*)(?:\n+|$)/,fences:vh,lheading:/^(.+?)\n {0,3}(=+|-+) *(?:\n+|$)/,paragraph:it(Ae.normal._paragraph).replace("hr",Ae.hr).replace("heading",` *#{1,6} *[^ +]`).replace("lheading",Ae.lheading).replace("blockquote"," {0,3}>").replace("|fences","").replace("|list","").replace("|html","").getRegex()};const ae={escape:/^\\([!"#$%&'()*+,\-./:;<=>?@\[\]\\^_`{|}~])/,autolink:/^<(scheme:[^\s\x00-\x1f<>]*|email)>/,url:vh,tag:"^comment|^|^<[a-zA-Z][\\w-]*(?:attribute)*?\\s*/?>|^<\\?[\\s\\S]*?\\?>|^|^",link:/^!?\[(label)\]\(\s*(href)(?:\s+(title))?\s*\)/,reflink:/^!?\[(label)\]\[(ref)\]/,nolink:/^!?\[(ref)\](?:\[\])?/,reflinkSearch:"reflink|nolink(?!\\()",emStrong:{lDelim:/^(?:\*+(?:((?!\*)[punct])|[^\s*]))|^_+(?:((?!_)[punct])|([^\s_]))/,rDelimAst:/^[^_*]*?__[^_*]*?\*[^_*]*?(?=__)|[^*]+(?=[^*])|(?!\*)[punct](\*+)(?=[\s]|$)|[^punct\s](\*+)(?!\*)(?=[punct\s]|$)|(?!\*)[punct\s](\*+)(?=[^punct\s])|[\s](\*+)(?!\*)(?=[punct])|(?!\*)[punct](\*+)(?!\*)(?=[punct])|[^punct\s](\*+)(?=[^punct\s])/,rDelimUnd:/^[^_*]*?\*\*[^_*]*?_[^_*]*?(?=\*\*)|[^_]+(?=[^_])|(?!_)[punct](_+)(?=[\s]|$)|[^punct\s](_+)(?!_)(?=[punct\s]|$)|(?!_)[punct\s](_+)(?=[^punct\s])|[\s](_+)(?!_)(?=[punct])|(?!_)[punct](_+)(?!_)(?=[punct])/},code:/^(`+)([^`]|[^`][\s\S]*?[^`])\1(?!`)/,br:/^( {2,}|\\)\n(?!\s*$)/,del:vh,text:/^(`+|[^`])(?:(?= {2,}\n)|[\s\S]*?(?:(?=[\\`^|~",ae.punctuation=it(ae.punctuation,"u").replace(/punctuation/g,ae._punctuation).getRegex(),ae.blockSkip=/\[[^[\]]*?\]\([^\(\)]*?\)|`[^`]*?`|<[^<>]*?>/g,ae.anyPunctuation=/\\[punct]/g,ae._escapes=/\\([punct])/g,ae._comment=it(Ae._comment).replace("(?:-->|$)","-->").getRegex(),ae.emStrong.lDelim=it(ae.emStrong.lDelim,"u").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimAst=it(ae.emStrong.rDelimAst,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.emStrong.rDelimUnd=it(ae.emStrong.rDelimUnd,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae.anyPunctuation=it(ae.anyPunctuation,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._escapes=it(ae._escapes,"gu").replace(/punct/g,ae._punctuation).getRegex(),ae._scheme=/[a-zA-Z][a-zA-Z0-9+.-]{1,31}/,ae._email=/[a-zA-Z0-9.!#$%&'*+/=?^_`{|}~-]+(@)[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)+(?![-_])/,ae.autolink=it(ae.autolink).replace("scheme",ae._scheme).replace("email",ae._email).getRegex(),ae._attribute=/\s+[a-zA-Z:_][\w.:-]*(?:\s*=\s*"[^"]*"|\s*=\s*'[^']*'|\s*=\s*[^\s"'=<>`]+)?/,ae.tag=it(ae.tag).replace("comment",ae._comment).replace("attribute",ae._attribute).getRegex(),ae._label=/(?:\[(?:\\.|[^\[\]\\])*\]|\\.|`[^`]*`|[^\[\]\\`])*?/,ae._href=/<(?:\\.|[^\n<>\\])+>|[^\s\x00-\x1f]*/,ae._title=/"(?:\\"?|[^"\\])*"|'(?:\\'?|[^'\\])*'|\((?:\\\)?|[^)\\])*\)/,ae.link=it(ae.link).replace("label",ae._label).replace("href",ae._href).replace("title",ae._title).getRegex(),ae.reflink=it(ae.reflink).replace("label",ae._label).replace("ref",Ae._label).getRegex(),ae.nolink=it(ae.nolink).replace("ref",Ae._label).getRegex(),ae.reflinkSearch=it(ae.reflinkSearch,"g").replace("reflink",ae.reflink).replace("nolink",ae.nolink).getRegex(),ae.normal={...ae},ae.pedantic={...ae.normal,strong:{start:/^__|\*\*/,middle:/^__(?=\S)([\s\S]*?\S)__(?!_)|^\*\*(?=\S)([\s\S]*?\S)\*\*(?!\*)/,endAst:/\*\*(?!\*)/g,endUnd:/__(?!_)/g},em:{start:/^_|\*/,middle:/^()\*(?=\S)([\s\S]*?\S)\*(?!\*)|^_(?=\S)([\s\S]*?\S)_(?!_)/,endAst:/\*(?!\*)/g,endUnd:/_(?!_)/g},link:it(/^!?\[(label)\]\((.*?)\)/).replace("label",ae._label).getRegex(),reflink:it(/^!?\[(label)\]\s*\[([^\]]*)\]/).replace("label",ae._label).getRegex()},ae.gfm={...ae.normal,escape:it(ae.escape).replace("])","~|])").getRegex(),_extended_email:/[A-Za-z0-9._+-]+(@)[a-zA-Z0-9-_]+(?:\.[a-zA-Z0-9-_]*[a-zA-Z0-9])+(?![-_])/,url:/^((?:ftp|https?):\/\/|www\.)(?:[a-zA-Z0-9\-]+\.?)+[^\s<]*|^email/,_backpedal:/(?:[^?!.,:;*_'"~()&]+|\([^)]*\)|&(?![a-zA-Z0-9]+;$)|[?!.,:;*_'"~)]+(?!$))+/,del:/^(~~?)(?=[^\s~])([\s\S]*?[^\s~])\1(?=[^~]|$)/,text:/^([`~]+|[^`~])(?:(?= {2,}\n)|(?=[a-zA-Z0-9.!#$%&'*+\/=?_`{\|}~-]+@)|[\s\S]*?(?:(?=[\\.5&&(i="x"+i.toString(16)),t+="&#"+i+";";return t}class Qi{constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||ro,this.options.tokenizer=this.options.tokenizer||new xh,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};const n={block:Ae.normal,inline:ae.normal};this.options.pedantic?(n.block=Ae.pedantic,n.inline=ae.pedantic):this.options.gfm&&(n.block=Ae.gfm,this.options.breaks?n.inline=ae.breaks:n.inline=ae.gfm),this.tokenizer.rules=n}static get rules(){return{block:Ae,inline:ae}}static lex(t,n){return new Qi(n).lex(t)}static lexInline(t,n){return new Qi(n).inlineTokens(t)}lex(t){t=t.replace(/\r\n|\r/g,` +`),this.blockTokens(t,this.tokens);let n;for(;n=this.inlineQueue.shift();)this.inlineTokens(n.src,n.tokens);return this.tokens}blockTokens(t,n=[]){this.options.pedantic?t=t.replace(/\t/g," ").replace(/^ +$/gm,""):t=t.replace(/^( *)(\t+)/gm,(a,l,u)=>l+" ".repeat(u.length));let i,r,s,o;for(;t;)if(!(this.options.extensions&&this.options.extensions.block&&this.options.extensions.block.some(a=>(i=a.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))){if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length),i.raw.length===1&&n.length>0?n[n.length-1].raw+=` `:n.push(i);continue}if(i=this.tokenizer.code(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&(r.type==="paragraph"||r.type==="text")?(r.raw+=` `+i.raw,r.text+=` `+i.text,this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i);continue}if(i=this.tokenizer.fences(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.heading(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.hr(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.blockquote(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.list(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.html(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.def(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&(r.type==="paragraph"||r.type==="text")?(r.raw+=` `+i.raw,r.text+=` -`+i.raw,this.inlineQueue[this.inlineQueue.length-1].src=r.text):this.tokens.links[i.tag]||(this.tokens.links[i.tag]={href:i.href,title:i.title});continue}if(i=this.tokenizer.table(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.lheading(t)){t=t.substring(i.raw.length),n.push(i);continue}if(s=t,this.options.extensions&&this.options.extensions.startBlock){let a=1/0;const u=t.slice(1);let l;this.options.extensions.startBlock.forEach(function(c){l=c.call({lexer:this},u),typeof l=="number"&&l>=0&&(a=Math.min(a,l))}),a<1/0&&a>=0&&(s=t.substring(0,a+1))}if(this.state.top&&(i=this.tokenizer.paragraph(s))){r=n[n.length-1],o&&r.type==="paragraph"?(r.raw+=` +`+i.raw,this.inlineQueue[this.inlineQueue.length-1].src=r.text):this.tokens.links[i.tag]||(this.tokens.links[i.tag]={href:i.href,title:i.title});continue}if(i=this.tokenizer.table(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.lheading(t)){t=t.substring(i.raw.length),n.push(i);continue}if(s=t,this.options.extensions&&this.options.extensions.startBlock){let a=1/0;const l=t.slice(1);let u;this.options.extensions.startBlock.forEach(function(c){u=c.call({lexer:this},l),typeof u=="number"&&u>=0&&(a=Math.min(a,u))}),a<1/0&&a>=0&&(s=t.substring(0,a+1))}if(this.state.top&&(i=this.tokenizer.paragraph(s))){r=n[n.length-1],o&&r.type==="paragraph"?(r.raw+=` `+i.raw,r.text+=` `+i.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i),o=s.length!==t.length,t=t.substring(i.raw.length);continue}if(i=this.tokenizer.text(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&r.type==="text"?(r.raw+=` `+i.raw,r.text+=` -`+i.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i);continue}if(t){const a="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(a);break}else throw new Error(a)}}return this.state.top=!0,n}inline(t,n=[]){return this.inlineQueue.push({src:t,tokens:n}),n}inlineTokens(t,n=[]){let i,r,s,o=t,a,u,l;if(this.tokens.links){const c=Object.keys(this.tokens.links);if(c.length>0)for(;(a=this.tokenizer.rules.inline.reflinkSearch.exec(o))!=null;)c.includes(a[0].slice(a[0].lastIndexOf("[")+1,-1))&&(o=o.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;(a=this.tokenizer.rules.inline.blockSkip.exec(o))!=null;)o=o.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;(a=this.tokenizer.rules.inline.anyPunctuation.exec(o))!=null;)o=o.slice(0,a.index)+"++"+o.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;t;)if(u||(l=""),u=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some(c=>(i=c.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))){if(i=this.tokenizer.escape(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.tag(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&i.type==="text"&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(i=this.tokenizer.link(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(i.raw.length),r=n[n.length-1],r&&i.type==="text"&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(i=this.tokenizer.emStrong(t,o,l)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.codespan(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.br(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.del(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.autolink(t,x4)){t=t.substring(i.raw.length),n.push(i);continue}if(!this.state.inLink&&(i=this.tokenizer.url(t,x4))){t=t.substring(i.raw.length),n.push(i);continue}if(s=t,this.options.extensions&&this.options.extensions.startInline){let c=1/0;const f=t.slice(1);let d;this.options.extensions.startInline.forEach(function(h){d=h.call({lexer:this},f),typeof d=="number"&&d>=0&&(c=Math.min(c,d))}),c<1/0&&c>=0&&(s=t.substring(0,c+1))}if(i=this.tokenizer.inlineText(s,iU)){t=t.substring(i.raw.length),i.raw.slice(-1)!=="_"&&(l=i.raw.slice(-1)),u=!0,r=n[n.length-1],r&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(t){const c="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(c);break}else throw new Error(c)}}return n}}let Gh=class{constructor(t){this.options=t||vo}code(t,n,i){const r=(n||"").match(/\S*/)[0];if(this.options.highlight){const s=this.options.highlight(t,r);s!=null&&s!==t&&(i=!0,t=s)}return t=t.replace(/\n$/,"")+` -`,r?'
'+(i?t:kn(t,!0))+`
-`:"
"+(i?t:kn(t,!0))+`
+`+i.text,this.inlineQueue.pop(),this.inlineQueue[this.inlineQueue.length-1].src=r.text):n.push(i);continue}if(t){const a="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(a);break}else throw new Error(a)}}return this.state.top=!0,n}inline(t,n=[]){return this.inlineQueue.push({src:t,tokens:n}),n}inlineTokens(t,n=[]){let i,r,s,o=t,a,l,u;if(this.tokens.links){const c=Object.keys(this.tokens.links);if(c.length>0)for(;(a=this.tokenizer.rules.inline.reflinkSearch.exec(o))!=null;)c.includes(a[0].slice(a[0].lastIndexOf("[")+1,-1))&&(o=o.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;(a=this.tokenizer.rules.inline.blockSkip.exec(o))!=null;)o=o.slice(0,a.index)+"["+"a".repeat(a[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);for(;(a=this.tokenizer.rules.inline.anyPunctuation.exec(o))!=null;)o=o.slice(0,a.index)+"++"+o.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;t;)if(l||(u=""),l=!1,!(this.options.extensions&&this.options.extensions.inline&&this.options.extensions.inline.some(c=>(i=c.call({lexer:this},t,n))?(t=t.substring(i.raw.length),n.push(i),!0):!1))){if(i=this.tokenizer.escape(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.tag(t)){t=t.substring(i.raw.length),r=n[n.length-1],r&&i.type==="text"&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(i=this.tokenizer.link(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(i.raw.length),r=n[n.length-1],r&&i.type==="text"&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(i=this.tokenizer.emStrong(t,o,u)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.codespan(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.br(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.del(t)){t=t.substring(i.raw.length),n.push(i);continue}if(i=this.tokenizer.autolink(t,j6)){t=t.substring(i.raw.length),n.push(i);continue}if(!this.state.inLink&&(i=this.tokenizer.url(t,j6))){t=t.substring(i.raw.length),n.push(i);continue}if(s=t,this.options.extensions&&this.options.extensions.startInline){let c=1/0;const f=t.slice(1);let d;this.options.extensions.startInline.forEach(function(h){d=h.call({lexer:this},f),typeof d=="number"&&d>=0&&(c=Math.min(c,d))}),c<1/0&&c>=0&&(s=t.substring(0,c+1))}if(i=this.tokenizer.inlineText(s,cj)){t=t.substring(i.raw.length),i.raw.slice(-1)!=="_"&&(u=i.raw.slice(-1)),l=!0,r=n[n.length-1],r&&r.type==="text"?(r.raw+=i.raw,r.text+=i.text):n.push(i);continue}if(t){const c="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(c);break}else throw new Error(c)}}return n}}let wh=class{constructor(t){this.options=t||ro}code(t,n,i){const r=(n||"").match(/\S*/)[0];if(this.options.highlight){const s=this.options.highlight(t,r);s!=null&&s!==t&&(i=!0,t=s)}return t=t.replace(/\n$/,"")+` +`,r?'
'+(i?t:yn(t,!0))+`
+`:"
"+(i?t:yn(t,!0))+`
`}blockquote(t){return`
${t}
`}html(t,n){return t}heading(t,n,i,r){if(this.options.headerIds){const s=this.options.headerPrefix+r.slug(i);return`${t} @@ -60,25 +60,23 @@ ${t} `}tablerow(t){return` ${t} `}tablecell(t,n){const i=n.header?"th":"td";return(n.align?`<${i} align="${n.align}">`:`<${i}>`)+t+` -`}strong(t){return`${t}`}em(t){return`${t}`}codespan(t){return`${t}`}br(){return this.options.xhtml?"
":"
"}del(t){return`${t}`}link(t,n,i){if(t=b4(this.options.sanitize,this.options.baseUrl,t),t===null)return i;let r='",r}image(t,n,i){if(t=b4(this.options.sanitize,this.options.baseUrl,t),t===null)return i;let r=`${i}":">",r}text(t){return t}};class v2{strong(t){return t}em(t){return t}codespan(t){return t}del(t){return t}html(t){return t}text(t){return t}link(t,n,i){return""+i}image(t,n,i){return""+i}br(){return""}}class Vh{constructor(){this.seen={}}serialize(t){return t.toLowerCase().trim().replace(/<[!\/a-z].*?>/ig,"").replace(/[\u2000-\u206F\u2E00-\u2E7F\\'!"#$%&()*+,./:;<=>?@[\]^`{|}~]/g,"").replace(/\s/g,"-")}getNextSafeSlug(t,n){let i=t,r=0;if(this.seen.hasOwnProperty(i)){r=this.seen[t];do r++,i=t+"-"+r;while(this.seen.hasOwnProperty(i))}return n||(this.seen[t]=r,this.seen[i]=0),i}slug(t,n={}){const i=this.serialize(t);return this.getNextSafeSlug(i,n.dryrun)}}class Ur{constructor(t){this.options=t||vo,this.options.renderer=this.options.renderer||new Gh,this.renderer=this.options.renderer,this.renderer.options=this.options,this.textRenderer=new v2,this.slugger=new Vh}static parse(t,n){return new Ur(n).parse(t)}static parseInline(t,n){return new Ur(n).parseInline(t)}parse(t,n=!0){let i="",r,s,o,a,u,l,c,f,d,h,p,g,m,y,b,v,_,x,k;const w=t.length;for(r=0;r0&&b.tokens[0].type==="paragraph"?(b.tokens[0].text=x+" "+b.tokens[0].text,b.tokens[0].tokens&&b.tokens[0].tokens.length>0&&b.tokens[0].tokens[0].type==="text"&&(b.tokens[0].tokens[0].text=x+" "+b.tokens[0].tokens[0].text)):b.tokens.unshift({type:"text",text:x}):y+=x),y+=this.parse(b.tokens,m),d+=this.renderer.listitem(y,_,v);i+=this.renderer.list(d,p,g);continue}case"html":{i+=this.renderer.html(h.text,h.block);continue}case"paragraph":{i+=this.renderer.paragraph(this.parseInline(h.tokens));continue}case"text":{for(d=h.tokens?this.parseInline(h.tokens):h.text;r+1{i=i.concat(this.walkTokens(r[s],n))}):r.tokens&&(i=i.concat(this.walkTokens(r.tokens,n)))}return i}use(...t){const 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t=[],n=[],i=[];for(const s of Y(this.measures))for(const o of Y(this.measures[s]))for(const a of this.measures[s][o])i.push(a),t.push(o),n.push(s==="*"?null:er(s));return{type:"aggregate",groupby:[...this.dimensions].map(er),ops:t,fields:n,as:i}}}class Rc extends ct{constructor(t,n,i,r){super(t),this.model=n,this.name=i,this.data=r;for(const s of ir){const o=n.facet[s];if(o){const{bin:a,sort:u}=o;this[s]={name:n.getName(`${s}_domain`),fields:[ne(o),...wt(a)?[ne(o,{binSuffix:"end"})]:[]],...ao(u)?{sortField:u}:G(u)?{sortIndexField:Mc(o,s)}:{}}}}this.childModel=n.child}hash(){let t="Facet";for(const n of ir)this[n]&&(t+=` ${n.charAt(0)}:${Ve(this[n])}`);return t}get fields(){var n;const t=[];for(const i of ir)(n=this[i])!=null&&n.fields&&t.push(...this[i].fields);return t}dependentFields(){const t=new Set(this.fields);for(const n of ir)this[n]&&(this[n].sortField&&t.add(this[n].sortField.field),this[n].sortIndexField&&t.add(this[n].sortIndexField));return t}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const t={};for(const n of ro){const i=this.childModel.component.scales[n];if(i&&!i.merged){const r=i.get("type"),s=i.get("range");if(an(r)&&vu(s)){const o=Am(this.childModel,n),a=l6(o);a?t[n]=a:K(_x(n))}}}return t}assembleRowColumnHeaderData(t,n,i){const r={row:"y",column:"x",facet:void 0}[t],s=[],o=[],a=[];r&&i&&i[r]&&(n?(s.push(`distinct_${i[r]}`),o.push("max")):(s.push(i[r]),o.push("distinct")),a.push(`distinct_${i[r]}`));const{sortField:u,sortIndexField:l}=this[t];if(u){const{op:c=W1,field:f}=u;s.push(f),o.push(c),a.push(ne(u,{forAs:!0}))}else l&&(s.push(l),o.push("max"),a.push(l));return{name:this[t].name,source:n??this.data,transform:[{type:"aggregate",groupby:this[t].fields,...s.length?{fields:s,ops:o,as:a}:{}}]}}assembleFacetHeaderData(t){var u;const{columns:n}=this.model.layout,{layoutHeaders:i}=this.model.component,r=[],s={};for(const l of Gw){for(const c of Vw){const f=(i[l]&&i[l][c])??[];for(const d of 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pO(t)?this._data={values:[{type:"Sphere"}]}:(dO(t)||va(t))&&(this._data={});this._generator=va(t),t.name&&(this._name=t.name),n&&!pt(n)&&(this._data.format=n)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(t){this._name=t}set parent(t){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source nodes are roots and cannot be removed.")}hash(){throw new Error("Cannot hash sources")}assemble(){return{name:this._name,...this._data,transform:[]}}}var qL=function(e,t,n,i,r){if(i==="m")throw new TypeError("Private method is not writable");if(i==="a"&&!r)throw new TypeError("Private accessor was defined without a setter");if(typeof t=="function"?e!==t||!r:!t.has(e))throw new TypeError("Cannot write private member to an object whose class did not declare it");return i==="a"?r.call(e,n):r?r.value=n:t.set(e,n),n},J2e=function(e,t,n,i){if(n==="a"&&!i)throw new TypeError("Private accessor was defined without a getter");if(typeof t=="function"?e!==t||!i:!t.has(e))throw new TypeError("Cannot read private member from an object whose class did not declare it");return n==="m"?i:n==="a"?i.call(e):i?i.value:t.get(e)},wh;function Qw(e){return e instanceof Lu||e instanceof _h||e instanceof xh}class e6{constructor(){wh.set(this,void 0),qL(this,wh,!1,"f")}setModified(){qL(this,wh,!0,"f")}get modifiedFlag(){return J2e(this,wh,"f")}}wh=new WeakMap;class Iu extends e6{getNodeDepths(t,n,i){i.set(t,n);for(const r of t.children)this.getNodeDepths(r,n+1,i);return i}optimize(t){const i=[...this.getNodeDepths(t,0,new Map).entries()].sort((r,s)=>s[1]-r[1]);for(const r of i)this.run(r[0]);return this.modifiedFlag}}class t6 extends e6{optimize(t){this.run(t);for(const n of t.children)this.optimize(n);return this.modifiedFlag}}class Q2e extends t6{mergeNodes(t,n){const 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0:s.zero}return!1}function Uye(e,t,n,i,r=!1){const s=qye(t,n,i,r),{type:o}=e;return ys(t)?o!==void 0?L0e(t,o)?J(n)&&!O0e(o,n.type)?(K(Ihe(o,s)),s):o:(K(Lhe(t,o,s)),s):s:null}function qye(e,t,n,i){var r;switch(t.type){case"nominal":case"ordinal":{if(gc(e)||gx(e)==="discrete")return e==="shape"&&t.type==="ordinal"&&K(kx(e,"ordinal")),"ordinal";if(hx(e))return"band";if(Ut(e)||Jd(e)){if(He(["rect","bar","image","rule","tick"],n.type)||i)return"band"}else if(n.type==="arc"&&e in dx)return"band";const s=n[bi(e)];return Cu(s)||_c(t)&&((r=t.axis)!=null&&r.tickBand)?"band":"point"}case"temporal":return gc(e)?"time":gx(e)==="discrete"?(K(kx(e,"temporal")),"ordinal"):J(t)&&t.timeUnit&&on(t.timeUnit).utc?"utc":hx(e)?"band":"time";case"quantitative":return gc(e)?J(t)&&wt(t.bin)?"bin-ordinal":"linear":gx(e)==="discrete"?(K(kx(e,"quantitative")),"ordinal"):hx(e)?"band":"linear";case"geojson":return}throw new Error(dN(t.type))}function Wye(e,{ignoreRange:t}={}){uI(e),GL(e);for(const n of R0e)rI(e,n);t||oI(e)}function uI(e){Mt(e)?e.component.scales=Hye(e):e.component.scales=Vye(e)}function Hye(e){const{encoding:t,mark:n,markDef:i}=e,r={};for(const s of px){const o=Kt(t[s]);if(o&&n===jN&&s===yi&&o.type===yc)continue;let a=o&&o.scale;if(o&&a!==null&&a!==!1){a??(a={});const u=vR(t,s),l=Uye(a,s,o,i,u);r[s]=new ZL(e.scaleName(`${s}`,!0),{value:l,explicit:a.type===l})}}return r}const Gye=fO((e,t)=>MN(e)-MN(t));function Vye(e){var t;const n=e.component.scales={},i={},r=e.component.resolve;for(const s of e.children){uI(s);for(const o of Y(s.component.scales))if((t=r.scale)[o]??(t[o]=AL(o,e)),r.scale[o]==="shared"){const a=i[o],u=s.component.scales[o].getWithExplicit("type");a?E0e(a.value,u.value)?i[o]=ba(a,u,"type","scale",Gye):(r.scale[o]="independent",delete i[o]):i[o]=u}}for(const s of Y(i)){const o=e.scaleName(s,!0),a=i[s];n[s]=new ZL(o,a);for(const u of e.children){const l=u.component.scales[s];l&&(u.renameScale(l.get("name"),o),l.merged=!0)}}return n}class c6{constructor(){this.nameMap={}}rename(t,n){this.nameMap[t]=n}has(t){return this.nameMap[t]!==void 0}get(t){for(;this.nameMap[t]&&t!==this.nameMap[t];)t=this.nameMap[t];return t}}function Mt(e){return(e==null?void 0:e.type)==="unit"}function Ii(e){return(e==null?void 0:e.type)==="facet"}function f6(e){return(e==null?void 0:e.type)==="concat"}function Ic(e){return(e==null?void 0:e.type)==="layer"}class d6{constructor(t,n,i,r,s,o,a){this.type=n,this.parent=i,this.config=s,this.parent=i,this.config=s,this.view=bn(a),this.name=t.name??r,this.title=pa(t.title)?{text:t.title}:t.title?bn(t.title):void 0,this.scaleNameMap=i?i.scaleNameMap:new c6,this.projectionNameMap=i?i.projectionNameMap:new c6,this.signalNameMap=i?i.signalNameMap:new c6,this.data=t.data,this.description=t.description,this.transforms=qge(t.transform??[]),this.layout=n==="layer"||n==="unit"?{}:Ype(t,n,s),this.component={data:{sources:i?i.component.data.sources:[],outputNodes:i?i.component.data.outputNodes:{},outputNodeRefCounts:i?i.component.data.outputNodeRefCounts:{},isFaceted:H1(t)||(i==null?void 0:i.component.data.isFaceted)&&t.data===void 0},layoutSize:new co,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:{scale:{},axis:{},legend:{},...o?Re(o):{}},selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){Wye(this)}parseProjection(){zL(this)}renameTopLevelLayoutSizeSignal(){this.getName("width")!=="width"&&this.renameSignal(this.getName("width"),"width"),this.getName("height")!=="height"&&this.renameSignal(this.getName("height"),"height")}parseLegends(){RL(this)}assembleEncodeFromView(t){const{style:n,...i}=t,r={};for(const s of Y(i)){const o=i[s];o!==void 0&&(r[s]=Et(o))}return r}assembleGroupEncodeEntry(t){let n={};return this.view&&(n=this.assembleEncodeFromView(this.view)),!t&&(this.description&&(n.description=Et(this.description)),this.type==="unit"||this.type==="layer")?{width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height"),...n}:pt(n)?void 0:n}assembleLayout(){if(!this.layout)return;const{spacing:t,...n}=this.layout,{component:i,config:r}=this,s=h2e(i.layoutHeaders,r);return{padding:t,...this.assembleDefaultLayout(),...n,...s?{titleBand:s}:{}}}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:t}=this.component;let n=[];for(const i of ir)t[i].title&&n.push(a2e(this,i));for(const i of Gw)n=n.concat(u2e(this,i));return n}assembleAxes(){return Yme(this.component.axes,this.config)}assembleLegends(){return LL(this)}assembleProjections(){return L2e(this)}assembleTitle(){const{encoding:t,...n}=this.title??{},i={...YM(this.config.title).nonMarkTitleProperties,...n,...t?{encode:{update:t}}:{}};if(i.text)return He(["unit","layer"],this.type)?He(["middle",void 0],i.anchor)&&(i.frame??(i.frame="group")):i.anchor??(i.anchor="start"),pt(i)?void 0:i}assembleGroup(t=[]){const n={};t=t.concat(this.assembleSignals()),t.length>0&&(n.signals=t);const i=this.assembleLayout();i&&(n.layout=i),n.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const r=!this.parent||Ii(this.parent)?YL(this):[];r.length>0&&(n.scales=r);const s=this.assembleAxes();s.length>0&&(n.axes=s);const o=this.assembleLegends();return o.length>0&&(n.legends=o),n}getName(t){return St((this.name?`${this.name}_`:"")+t)}getDataName(t){return this.getName(Tt[t].toLowerCase())}requestDataName(t){const n=this.getDataName(t),i=this.component.data.outputNodeRefCounts;return i[n]=(i[n]||0)+1,n}getSizeSignalRef(t){if(Ii(this.parent)){const n=EL(t),i=T1(n),r=this.component.scales[i];if(r&&!r.merged){const s=r.get("type"),o=r.get("range");if(an(s)&&vu(o)){const a=r.get("name"),u=Am(this,i),l=l6(u);if(l){const c=ne({aggregate:"distinct",field:l},{expr:"datum"});return{signal:kL(a,r,c)}}else return K(_x(i)),null}}}return{signal:this.signalNameMap.get(this.getName(t))}}lookupDataSource(t){const n=this.component.data.outputNodes[t];return n?n.getSource():t}getSignalName(t){return this.signalNameMap.get(t)}renameSignal(t,n){this.signalNameMap.rename(t,n)}renameScale(t,n){this.scaleNameMap.rename(t,n)}renameProjection(t,n){this.projectionNameMap.rename(t,n)}scaleName(t,n){if(n)return this.getName(t);if(zM(t)&&ys(t)&&this.component.scales[t]||this.scaleNameMap.has(this.getName(t)))return this.scaleNameMap.get(this.getName(t))}projectionName(t){if(t)return this.getName("projection");if(this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection")))return this.projectionNameMap.get(this.getName("projection"))}getScaleComponent(t){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const n=this.component.scales[t];return n&&!n.merged?n:this.parent?this.parent.getScaleComponent(t):void 0}getScaleType(t){const n=this.getScaleComponent(t);return n?n.get("type"):void 0}getSelectionComponent(t,n){let i=this.component.selection[t];if(!i&&this.parent&&(i=this.parent.getSelectionComponent(t,n)),!i)throw new Error(Jde(n));return i}hasAxisOrientSignalRef(){var t,n;return((t=this.component.axes.x)==null?void 0:t.some(i=>i.hasOrientSignalRef()))||((n=this.component.axes.y)==null?void 0:n.some(i=>i.hasOrientSignalRef()))}}class lI extends d6{vgField(t,n={}){const i=this.fieldDef(t);if(i)return ne(i,n)}reduceFieldDef(t,n){return Cpe(this.getMapping(),(i,r,s)=>{const o=Lr(r);return o?t(i,o,s):i},n)}forEachFieldDef(t,n){ew(this.getMapping(),(i,r)=>{const s=Lr(i);s&&t(s,r)},n)}}class $m extends ct{clone(){return new $m(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??"value",i[1]??"density"];const r=this.transform.resolve??"shared";this.transform.resolve=r}dependentFields(){return new Set([this.transform.density,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${Ve(this.transform)}`}assemble(){const{density:t,...n}=this.transform,i={type:"kde",field:t,...n};return i.resolve=this.transform.resolve,i}}class Sm extends ct{clone(){return new Sm(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n)}dependentFields(){return new Set([this.transform.extent])}producedFields(){return new Set([])}hash(){return`ExtentTransform ${Ve(this.transform)}`}assemble(){const{extent:t,param:n}=this.transform;return{type:"extent",field:t,signal:n}}}class Fm extends ct{clone(){return new Fm(this.parent,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const{flatten:i,as:r=[]}=this.transform;this.transform.as=i.map((s,o)=>r[o]??s)}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${Ve(this.transform)}`}assemble(){const{flatten:t,as:n}=this.transform;return{type:"flatten",fields:t,as:n}}}class Dm extends ct{clone(){return new Dm(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??"key",i[1]??"value"]}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${Ve(this.transform)}`}assemble(){const{fold:t,as:n}=this.transform;return{type:"fold",fields:t,as:n}}}class Pc extends ct{clone(){return new Pc(null,Re(this.fields),this.geojson,this.signal)}static parseAll(t,n){if(n.component.projection&&!n.component.projection.isFit)return t;let i=0;for(const r of[[Dr,Fr],[nr,Tr]]){const s=r.map(o=>{const a=Kt(n.encoding[o]);return J(a)?a.field:ws(a)?{expr:`${a.datum}`}:Or(a)?{expr:`${a.value}`}:void 0});(s[0]||s[1])&&(t=new Pc(t,s,null,n.getName(`geojson_${i++}`)))}if(n.channelHasField(yi)){const r=n.typedFieldDef(yi);r.type===yc&&(t=new Pc(t,null,r.field,n.getName(`geojson_${i++}`)))}return t}constructor(t,n,i,r){super(t),this.fields=n,this.geojson=i,this.signal=r}dependentFields(){const t=(this.fields??[]).filter(re);return new Set([...this.geojson?[this.geojson]:[],...t])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${Ve(this.fields)}`}assemble(){return[...this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[],{type:"geojson",...this.fields?{fields:this.fields}:{},...this.geojson?{geojson:this.geojson}:{},signal:this.signal}]}}class kh extends ct{clone(){return new kh(null,this.projection,Re(this.fields),Re(this.as))}constructor(t,n,i,r){super(t),this.projection=n,this.fields=i,this.as=r}static parseAll(t,n){if(!n.projectionName())return t;for(const i of[[Dr,Fr],[nr,Tr]]){const r=i.map(o=>{const a=Kt(n.encoding[o]);return J(a)?a.field:ws(a)?{expr:`${a.datum}`}:Or(a)?{expr:`${a.value}`}:void 0}),s=i[0]===nr?"2":"";(r[0]||r[1])&&(t=new kh(t,n.projectionName(),r,[n.getName(`x${s}`),n.getName(`y${s}`)]))}return t}dependentFields(){return new Set(this.fields.filter(re))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${Ve(this.fields)} ${Ve(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class zu extends ct{clone(){return new zu(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n}dependentFields(){return new Set([this.transform.impute,this.transform.key,...this.transform.groupby??[]])}producedFields(){return new Set([this.transform.impute])}processSequence(t){const{start:n=0,stop:i,step:r}=t;return{signal:`sequence(${[n,i,...r?[r]:[]].join(",")})`}}static makeFromTransform(t,n){return new zu(t,n)}static makeFromEncoding(t,n){const i=n.encoding,r=i.x,s=i.y;if(J(r)&&J(s)){const o=r.impute?r:s.impute?s:void 0;if(o===void 0)return;const a=r.impute?s:s.impute?r:void 0,{method:u,value:l,frame:c,keyvals:f}=o.impute,d=wR(n.mark,i);return new zu(t,{impute:o.field,key:a.field,...u?{method:u}:{},...l!==void 0?{value:l}:{},...c?{frame:c}:{},...f!==void 0?{keyvals:f}:{},...d.length?{groupby:d}:{}})}return null}hash(){return`Impute ${Ve(this.transform)}`}assemble(){const{impute:t,key:n,keyvals:i,method:r,groupby:s,value:o,frame:a=[null,null]}=this.transform,u={type:"impute",field:t,key:n,...i?{keyvals:Ege(i)?this.processSequence(i):i}:{},method:"value",...s?{groupby:s}:{},value:!r||r==="value"?o:null};if(r&&r!=="value"){const l={type:"window",as:[`imputed_${t}_value`],ops:[r],fields:[t],frame:a,ignorePeers:!1,...s?{groupby:s}:{}},c={type:"formula",expr:`datum.${t} === null ? datum.imputed_${t}_value : datum.${t}`,as:t};return[u,l,c]}else return[u]}}class Tm extends ct{clone(){return new Tm(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??n.on,i[1]??n.loess]}dependentFields(){return new Set([this.transform.loess,this.transform.on,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${Ve(this.transform)}`}assemble(){const{loess:t,on:n,...i}=this.transform;return{type:"loess",x:n,y:t,...i}}}class Eh extends ct{clone(){return new Eh(null,Re(this.transform),this.secondary)}constructor(t,n,i){super(t),this.transform=n,this.secondary=i}static make(t,n,i,r){const s=n.component.data.sources,{from:o}=i;let a=null;if(Cge(o)){let u=hI(o.data,s);u||(u=new Lu(o.data),s.push(u));const l=n.getName(`lookup_${r}`);a=new vi(u,l,Tt.Lookup,n.component.data.outputNodeRefCounts),n.component.data.outputNodes[l]=a}else if(Age(o)){const u=o.param;i={as:u,...i};let l;try{l=n.getSelectionComponent(St(u),u)}catch{throw new Error(nhe(u))}if(a=l.materialized,!a)throw new Error(ihe(u))}return new Eh(t,i,a.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?se(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${Ve({transform:this.transform,secondary:this.secondary})}`}assemble(){let t;if(this.transform.from.fields)t={values:this.transform.from.fields,...this.transform.as?{as:se(this.transform.as)}:{}};else{let n=this.transform.as;re(n)||(K(phe),n="_lookup"),t={as:[n]}}return{type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup],...t,...this.transform.default?{default:this.transform.default}:{}}}}class Mm extends ct{clone(){return new Mm(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??"prob",i[1]??"value"]}dependentFields(){return new Set([this.transform.quantile,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${Ve(this.transform)}`}assemble(){const{quantile:t,...n}=this.transform;return{type:"quantile",field:t,...n}}}class Nm extends ct{clone(){return new Nm(null,Re(this.transform))}constructor(t,n){super(t),this.transform=n,this.transform=Re(n);const i=this.transform.as??[void 0,void 0];this.transform.as=[i[0]??n.on,i[1]??n.regression]}dependentFields(){return new Set([this.transform.regression,this.transform.on,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform 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ro.reduce((t,n)=>(e.component.scales[n]&&(t[n]=[ybe(n,e)]),t),{})}const fbe={bottom:"top",top:"bottom",left:"right",right:"left"};function dbe(e){const{axes:t,resolve:n}=e.component,i={top:0,bottom:0,right:0,left:0};for(const r of e.children){r.parseAxesAndHeaders();for(const s of Y(r.component.axes))n.axis[s]=Zw(e.component.resolve,s),n.axis[s]==="shared"&&(t[s]=hbe(t[s],r.component.axes[s]),t[s]||(n.axis[s]="independent",delete t[s]))}for(const r of ro){for(const s of e.children)if(s.component.axes[r]){if(n.axis[r]==="independent"){t[r]=(t[r]??[]).concat(s.component.axes[r]);for(const o of s.component.axes[r]){const{value:a,explicit:u}=o.getWithExplicit("orient");if(!be(a)){if(i[a]>0&&!u){const l=fbe[a];i[a]>i[l]&&o.set("orient",l,!1)}i[a]++}}}delete s.component.axes[r]}if(n.axis[r]==="independent"&&t[r]&&t[r].length>1)for(const[s,o]of(t[r]||[]).entries())s>0&&o.get("grid")&&!o.explicit.grid&&(o.implicit.grid=!1)}}function hbe(e,t){if(e){if(e.length!==t.length)return;const n=e.length;for(let i=0;in.clone());return e}function pbe(e,t){for(const n of pI){const i=ba(e.getWithExplicit(n),t.getWithExplicit(n),n,"axis",(r,s)=>{switch(n){case"title":return iN(r,s);case"gridScale":return{explicit:r.explicit,value:jt(r.value,s.value)}}return om(r,s,n,"axis")});e.setWithExplicit(n,i)}return e}function gbe(e,t,n,i,r){if(t==="disable")return n!==void 0;switch(n=n||{},t){case"titleAngle":case"labelAngle":return e===(be(n.labelAngle)?n.labelAngle:Xd(n.labelAngle));case"values":return!!n.values;case"encode":return!!n.encoding||!!n.labelAngle;case"title":if(e===bL(i,r))return!0}return e===n[t]}const mbe=new Set(["grid","translate","format","formatType","orient","labelExpr","tickCount","position","tickMinStep"]);function ybe(e,t){var y,b;let n=t.axis(e);const i=new g6,r=Kt(t.encoding[e]),{mark:s,config:o}=t,a=(n==null?void 0:n.orient)||((y=o[e==="x"?"axisX":"axisY"])==null?void 0:y.orient)||((b=o.axis)==null?void 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Nbe(e,t,n){if(mt("align",e,n)===void 0)return"center"}function Rbe(e,t,n){if(mt("baseline",e,n)===void 0)return"middle"}const zm={arc:vbe,area:_be,bar:xbe,circle:Sbe,geoshape:wbe,image:kbe,line:Ebe,point:$be,rect:Dbe,rule:Tbe,square:Fbe,text:Mbe,tick:{vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,i=n.orient,r=i==="horizontal"?"x":"y",s=i==="horizontal"?"y":"x",o=i==="horizontal"?"height":"width";return{...rr(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...ho(e,r),...ri(s,e,{defaultPos:"mid",vgChannel:s==="y"?"yc":"xc"}),[o]:Et(mt("thickness",n,t))}}},trail:Cbe};function Obe(e){if(He([B1,P1,B0e],e.mark)){const t=wR(e.mark,e.encoding);if(t.length>0)return Lbe(e,t)}else if(e.mark===z1){const t=yx.some(n=>mt(n,e.markDef,e.config));if(e.stack&&!e.fieldDef("size")&&t)return Ibe(e)}return y6(e)}const gI="faceted_path_";function Lbe(e,t){return[{name:e.getName("pathgroup"),type:"group",from:{facet:{name:gI+e.requestDataName(Tt.Main),data:e.requestDataName(Tt.Main),groupby:t}},encode:{update:{width:{field:{group:"width"}},height:{field:{group:"height"}}}},marks:y6(e,{fromPrefix:gI})}]}const mI="stack_group_";function Ibe(e){var l;const[t]=y6(e,{fromPrefix:mI}),n=e.scaleName(e.stack.fieldChannel),i=(c={})=>e.vgField(e.stack.fieldChannel,c),r=(c,f)=>{const d=[i({prefix:"min",suffix:"start",expr:f}),i({prefix:"max",suffix:"start",expr:f}),i({prefix:"min",suffix:"end",expr:f}),i({prefix:"max",suffix:"end",expr:f})];return`${c}(${d.map(h=>`scale('${n}',${h})`).join(",")})`};let 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y6(e,t={fromPrefix:""}){const{mark:n,markDef:i,encoding:r,config:s}=e,o=jt(i.clip,zbe(e),Bbe(e)),a=JM(i),u=r.key,l=Pbe(e),c=jbe(e),f=mt("aria",i,s),d=zm[n].postEncodingTransform?zm[n].postEncodingTransform(e):null;return[{name:e.getName("marks"),type:zm[n].vgMark,...o?{clip:o}:{},...a?{style:a}:{},...u?{key:u.field}:{},...l?{sort:l}:{},...c||{},...f===!1?{aria:f}:{},from:{data:t.fromPrefix+e.requestDataName(Tt.Main)},encode:{update:zm[n].encodeEntry(e)},...d?{transform:d}:{}}]}function zbe(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return t!=null&&t.get("selectionExtent")||n!=null&&n.get("selectionExtent")?!0:void 0}function Bbe(e){const t=e.component.projection;return t&&!t.isFit?!0:void 0}function jbe(e){if(!e.component.selection)return null;const t=Y(e.component.selection).length;let n=t,i=e.parent;for(;i&&n===0;)n=Y(i.component.selection).length,i=i.parent;return n?{interactive:t>0||e.mark==="geoshape"||!!e.encoding.tooltip||!!e.markDef.tooltip}:null}class yI 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fn(o,{text:s,align:{signal:"item.mark.group.align"},angle:{signal:"item.mark.group.angle"},limit:{signal:"item.mark.group.limit"},baseline:"top",dx:t("dx"),dy:t("dy"),fill:t("color"),font:t("font"),fontSize:t("fontSize"),fontStyle:t("fontStyle"),fontWeight:t("fontWeight"),lineHeight:t("lineHeight")},{align:t("align"),angle:t("angle"),baseline:t("baseline")}),xi({type:Xa,role:Rle,style:Gue,from:i,encode:o},n)}function Oce(e,t,n,i){const r={value:0},s=e.subtitle,o={enter:{opacity:r},update:{opacity:{value:1}},exit:{opacity:r}};return fn(o,{text:s,align:{signal:"item.mark.group.align"},angle:{signal:"item.mark.group.angle"},limit:{signal:"item.mark.group.limit"},baseline:"top",dx:t("dx"),dy:t("dy"),fill:t("subtitleColor"),font:t("subtitleFont"),fontSize:t("subtitleFontSize"),fontStyle:t("subtitleFontStyle"),fontWeight:t("subtitleFontWeight"),lineHeight:t("subtitleLineHeight")},{align:t("align"),angle:t("angle"),baseline:t("baseline")}),xi({type:Xa,role:Ole,style:Vue,from:i,encode:o},n)}function Lce(e,t){const n=[];e.transform&&e.transform.forEach(i=>{n.push(g7(i,t))}),e.on&&e.on.forEach(i=>{MM(i,t,e.name)}),t.addDataPipeline(e.name,Ice(e,t,n))}function Ice(e,t,n){const i=[];let r=null,s=!1,o=!1,a,l,u,c,f;for(e.values?Vt(e.values)||W0(e.format)?(i.push(NM(t,e)),i.push(r=Ka())):i.push(r=Ka({$ingest:e.values,$format:e.format})):e.url?W0(e.url)||W0(e.format)?(i.push(NM(t,e)),i.push(r=Ka())):i.push(r=Ka({$request:e.url,$format:e.format})):e.source&&(r=a=se(e.source).map(d=>Ce(t.getData(d).output)),i.push(null)),l=0,u=n.length;le===Wo||e===pr,Q0=(e,t,n)=>Vt(e)?jce(e.signal,t,n):e===Pu||e===pr?t:n,en=(e,t,n)=>Vt(e)?zce(e.signal,t,n):RM(e)?t:n,gr=(e,t,n)=>Vt(e)?Bce(e.signal,t,n):RM(e)?n:t,OM=(e,t,n)=>Vt(e)?Uce(e.signal,t,n):e===pr?{value:t}:{value:n},Pce=(e,t,n)=>Vt(e)?qce(e.signal,t,n):e===zu?{value:t}:{value:n},zce=(e,t,n)=>LM(`${e} === '${pr}' || ${e} === '${Wo}'`,t,n),Bce=(e,t,n)=>LM(`${e} !== '${pr}' && ${e} !== '${Wo}'`,t,n),jce=(e,t,n)=>y7(`${e} === '${Pu}' || ${e} === '${pr}'`,t,n),Uce=(e,t,n)=>y7(`${e} === '${pr}'`,t,n),qce=(e,t,n)=>y7(`${e} === 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(${ju(t)}) : `:"")+"(null)"}),ju=e=>Vt(e)?e.signal:e==null?null:ee(e),Hce=(e,t)=>t===0?0:Vt(e)?{signal:`(${e.signal}) * ${t}`}:{value:e*t},Uu=(e,t)=>{const n=e.signal;return n&&n.endsWith("(null)")?{signal:n.slice(0,-6)+t.signal}:e};function qu(e,t,n,i){let r;if(t&&le(t,e))return t[e];if(le(n,e))return n[e];if(e.startsWith("title")){switch(e){case"titleColor":r="fill";break;case"titleFont":case"titleFontSize":case"titleFontWeight":r=e[5].toLowerCase()+e.slice(6)}return i[a7][r]}else if(e.startsWith("label")){switch(e){case"labelColor":r="fill";break;case"labelFont":case"labelFontSize":r=e[5].toLowerCase()+e.slice(6)}return i[Ed][r]}return null}function PM(e){const t={};for(const n of e)if(n)for(const i in n)t[i]=1;return Object.keys(t)}function Gce(e,t){var n=t.config,i=n.style,r=n.axis,s=t.scaleType(e.scale)==="band"&&n.axisBand,o=e.orient,a,l,u;if(Vt(o)){const f=PM([n.axisX,n.axisY]),d=PM([n.axisTop,n.axisBottom,n.axisLeft,n.axisRight]);a={};for(u of 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h={enter:c={opacity:Xe},update:d={opacity:Ui},exit:f={opacity:Xe}};fn(h,{stroke:s("gridColor"),strokeCap:s("gridCap"),strokeDash:s("gridDash"),strokeDashOffset:s("gridDashOffset"),strokeOpacity:s("gridOpacity"),strokeWidth:s("gridWidth")});const p={scale:e.scale,field:ji,band:r.band,extra:r.extra,offset:r.offset,round:s("tickRound")},g=en(o,{signal:"height"},{signal:"width"}),m=a?{scale:a,range:0,mult:l,offset:u}:{value:0,offset:u},y=a?{scale:a,range:1,mult:l,offset:u}:Be(g,{mult:l,offset:u});return c.x=d.x=en(o,p,m),c.y=d.y=gr(o,p,m),c.x2=d.x2=gr(o,y),c.y2=d.y2=en(o,y),f.x=en(o,p),f.y=gr(o,p),xi({type:f7,role:kle,key:ji,from:i,encode:h},n)}function Xce(e,t){if(t!==1)if(!ie(e))e=Vt(t)?{signal:`(${t.signal}) * (${e||0})`}:t*(e||0);else{let n=e=Be({},e);for(;n.mult!=null;)if(ie(n.mult))n=n.mult=Be({},n.mult);else return n.mult=Vt(t)?{signal:`(${n.mult}) * (${t.signal})`}:n.mult*t,e;n.mult=t}return e}function Zce(e,t,n,i,r,s){const o=oi(e,t),a=e.orient,l=Q0(a,-1,1);let u,c,f;const d={enter:u={opacity:Xe},update:f={opacity:Ui},exit:c={opacity:Xe}};fn(d,{stroke:o("tickColor"),strokeCap:o("tickCap"),strokeDash:o("tickDash"),strokeDashOffset:o("tickDashOffset"),strokeOpacity:o("tickOpacity"),strokeWidth:o("tickWidth")});const h=Qt(r);h.mult=l;const p={scale:e.scale,field:ji,band:s.band,extra:s.extra,offset:s.offset,round:o("tickRound")};return f.y=u.y=en(a,Xe,p),f.y2=u.y2=en(a,h),c.x=en(a,p),f.x=u.x=gr(a,Xe,p),f.x2=u.x2=gr(a,h),c.y=gr(a,p),xi({type:f7,role:$le,key:ji,from:i,encode:d},n)}function b7(e,t,n,i,r){return{signal:'flush(range("'+e+'"), scale("'+e+'", datum.value), '+t+","+n+","+i+","+r+")"}}function Kce(e,t,n,i,r,s){const o=oi(e,t),a=e.orient,l=e.scale,u=Q0(a,-1,1),c=Va(o("labelFlush")),f=Va(o("labelFlushOffset")),d=o("labelAlign"),h=o("labelBaseline");let p=c===0||!!c,g;const m=Qt(r);m.mult=u,m.offset=Qt(o("labelPadding")||0),m.offset.mult=u;const y={scale:l,field:ji,band:.5,offset:_M(s.offset,o("labelOffset"))},b=en(a,p?b7(l,c,'"left"','"right"','"center"'):{value:"center"},Pce(a,"left","right")),v=en(a,OM(a,"bottom","top"),p?b7(l,c,'"top"','"bottom"','"middle"'):{value:"middle"}),_=b7(l,c,`-(${f})`,f,0);p=p&&f;const x={opacity:Xe,x:en(a,y,m),y:gr(a,y,m)},k={enter:x,update:g={opacity:Ui,text:{field:o7},x:x.x,y:x.y,align:b,baseline:v},exit:{opacity:Xe,x:x.x,y:x.y}};fn(k,{dx:!d&&p?en(a,_):null,dy:!h&&p?gr(a,_):null}),fn(k,{angle:o("labelAngle"),fill:o("labelColor"),fillOpacity:o("labelOpacity"),font:o("labelFont"),fontSize:o("labelFontSize"),fontWeight:o("labelFontWeight"),fontStyle:o("labelFontStyle"),limit:o("labelLimit"),lineHeight:o("labelLineHeight")},{align:d,baseline:h});const w=o("labelBound");let E=o("labelOverlap");return E=E||w?{separation:o("labelSeparation"),method:E,order:"datum.index",bound:w?{scale:l,orient:a,tolerance:w}:null}:void 0,g.align!==b&&(g.align=Uu(g.align,b)),g.baseline!==v&&(g.baseline=Uu(g.baseline,v)),xi({type:Xa,role:Ele,style:Ed,key:ji,from:i,encode:k,overlap:E},n)}function Jce(e,t,n,i){const r=oi(e,t),s=e.orient,o=Q0(s,-1,1);let a,l;const u={enter:a={opacity:Xe,anchor:Qt(r("titleAnchor",null)),align:{signal:d7}},update:l=Be({},a,{opacity:Ui,text:Qt(e.title)}),exit:{opacity:Xe}},c={signal:`lerp(range("${e.scale}"), ${X0(0,1,.5)})`};return l.x=en(s,c),l.y=gr(s,c),a.angle=en(s,Xe,Hce(o,90)),a.baseline=en(s,OM(s,Wo,pr),{value:Wo}),l.angle=a.angle,l.baseline=a.baseline,fn(u,{fill:r("titleColor"),fillOpacity:r("titleOpacity"),font:r("titleFont"),fontSize:r("titleFontSize"),fontStyle:r("titleFontStyle"),fontWeight:r("titleFontWeight"),limit:r("titleLimit"),lineHeight:r("titleLineHeight")},{align:r("titleAlign"),angle:r("titleAngle"),baseline:r("titleBaseline")}),Qce(r,s,u,n),u.update.align=Uu(u.update.align,a.align),u.update.angle=Uu(u.update.angle,a.angle),u.update.baseline=Uu(u.update.baseline,a.baseline),xi({type:Xa,role:Sle,style:a7,from:i,encode:u},n)}function Qce(e,t,n,i){const r=(a,l)=>a!=null?(n.update[l]=Uu(Qt(a),n.update[l]),!1):!Iu(l,i),s=r(e("titleX"),"x"),o=r(e("titleY"),"y");n.enter.auto=o===s?Qt(o):en(t,Qt(o),Qt(s))}function efe(e,t){const n=Gce(e,t),i=e.encode||{},r=i.axis||{},s=r.name||void 0,o=r.interactive,a=r.style,l=oi(e,n),u=Zue(l),c={scale:e.scale,ticks:!!l("ticks"),labels:!!l("labels"),grid:!!l("grid"),domain:!!l("domain"),title:e.title!=null},f=Ce(t.add(hr({},[c]))),d=Ce(t.add(aue({scale:t.scaleRef(e.scale),extra:t.property(u.extra),count:t.objectProperty(e.tickCount),values:t.objectProperty(e.values),minstep:t.property(e.tickMinStep),formatType:t.property(e.formatType),formatSpecifier:t.property(e.format)}))),h=[];let p;return c.grid&&h.push(Yce(e,n,i.grid,d,u)),c.ticks&&(p=l("tickSize"),h.push(Zce(e,n,i.ticks,d,p,u))),c.labels&&(p=c.ticks?p:0,h.push(Kce(e,n,i.labels,d,p,u))),c.domain&&h.push(Vce(e,n,i.domain,f)),c.title&&h.push(Jce(e,n,i.title,f)),J0(Sd({role:xle,from:f,encode:Lu(tfe(l,e),r,$d),marks:h,aria:l("aria"),description:l("description"),zindex:l("zindex"),name:s,interactive:o,style:a}),t)}function tfe(e,t){const n={enter:{},update:{}};return fn(n,{orient:e("orient"),offset:e("offset")||0,position:dr(t.position,0),titlePadding:e("titlePadding"),minExtent:e("minExtent"),maxExtent:e("maxExtent"),range:{signal:`abs(span(range("${t.scale}")))`},translate:e("translate"),format:t.format,formatType:t.formatType}),n}function BM(e,t,n){const i=se(e.signals),r=se(e.scales);return n||i.forEach(s=>nM(s,t)),se(e.projections).forEach(s=>zue(s,t)),r.forEach(s=>Cue(s,t)),se(e.data).forEach(s=>Lce(s,t)),r.forEach(s=>Aue(s,t)),(n||i).forEach(s=>oue(s,t)),se(e.axes).forEach(s=>efe(s,t)),se(e.marks).forEach(s=>J0(s,t)),se(e.legends).forEach(s=>Ece(s,t)),e.title&&Mce(e.title,t),t.parseLambdas(),t}const nfe=e=>Lu({enter:{x:{value:0},y:{value:0}},update:{width:{signal:"width"},height:{signal:"height"}}},e);function ife(e,t){const n=t.config,i=Ce(t.root=t.add(U0())),r=rfe(e,n);r.forEach(u=>nM(u,t)),t.description=e.description||n.description,t.eventConfig=n.events,t.legends=t.objectProperty(n.legend&&n.legend.layout),t.locale=n.locale;const s=t.add(hr()),o=t.add(lM(eM(nfe(e.encode),Y0,Z_,e.style,t,{pulse:Ce(s)}))),a=t.add(fM({layout:t.objectProperty(e.layout),legends:t.legends,autosize:t.signalRef("autosize"),mark:i,pulse:Ce(o)}));t.operators.pop(),t.pushState(Ce(o),Ce(a),null),BM(e,t,r),t.operators.push(a);let l=t.add(oM({mark:i,pulse:Ce(a)}));return l=t.add(cM({pulse:Ce(l)})),l=t.add(Ya({pulse:Ce(l)})),t.addData("root",new Za(t,s,s,l)),t}function Ad(e,t){return t&&t.signal?{name:e,update:t.signal}:{name:e,value:t}}function rfe(e,t){const n=o=>dr(e[o],t[o]),i=[Ad("background",n("background")),Ad("autosize",ble(n("autosize"))),Ad("padding",_le(n("padding"))),Ad("width",n("width")||0),Ad("height",n("height")||0)],r=i.reduce((o,a)=>(o[a.name]=a,o),{}),s={};return se(e.signals).forEach(o=>{le(r,o.name)?o=Be(r[o.name],o):i.push(o),s[o.name]=o}),se(t.signals).forEach(o=>{!le(s,o.name)&&!le(r,o.name)&&i.push(o)}),i}function jM(e,t){this.config=e||{},this.options=t||{},this.bindings=[],this.field={},this.signals={},this.lambdas={},this.scales={},this.events={},this.data={},this.streams=[],this.updates=[],this.operators=[],this.eventConfig=null,this.locale=null,this._id=0,this._subid=0,this._nextsub=[0],this._parent=[],this._encode=[],this._lookup=[],this._markpath=[]}function UM(e){this.config=e.config,this.options=e.options,this.legends=e.legends,this.field=Object.create(e.field),this.signals=Object.create(e.signals),this.lambdas=Object.create(e.lambdas),this.scales=Object.create(e.scales),this.events=Object.create(e.events),this.data=Object.create(e.data),this.streams=[],this.updates=[],this.operators=[],this._id=0,this._subid=++e._nextsub[0],this._nextsub=e._nextsub,this._parent=e._parent.slice(),this._encode=e._encode.slice(),this._lookup=e._lookup.slice(),this._markpath=e._markpath}jM.prototype=UM.prototype={parse(e){return BM(e,this)},fork(){return new UM(this)},isSubscope(){return this._subid>0},toRuntime(){return this.finish(),{description:this.description,operators:this.operators,streams:this.streams,updates:this.updates,bindings:this.bindings,eventConfig:this.eventConfig,locale:this.locale}},id(){return(this._subid?this._subid+":":0)+this._id++},add(e){return this.operators.push(e),e.id=this.id(),e.refs&&(e.refs.forEach(t=>{t.$ref=e.id}),e.refs=null),e},proxy(e){const t=e instanceof Q_?Ce(e):e;return this.add(xue({value:t}))},addStream(e){return this.streams.push(e),e.id=this.id(),e},addUpdate(e){return this.updates.push(e),e},finish(){let e,t;this.root&&(this.root.root=!0);for(e in this.signals)this.signals[e].signal=e;for(e in this.scales)this.scales[e].scale=e;function n(i,r,s){let o,a;i&&(o=i.data||(i.data={}),a=o[r]||(o[r]=[]),a.push(s))}for(e in this.data){t=this.data[e],n(t.input,e,"input"),n(t.output,e,"output"),n(t.values,e,"values");for(const i in t.index)n(t.index[i],e,"index:"+i)}return this},pushState(e,t,n){this._encode.push(Ce(this.add(Ya({pulse:e})))),this._parent.push(t),this._lookup.push(n?Ce(this.proxy(n)):null),this._markpath.push(-1)},popState(){this._encode.pop(),this._parent.pop(),this._lookup.pop(),this._markpath.pop()},parent(){return Ve(this._parent)},encode(){return Ve(this._encode)},lookup(){return Ve(this._lookup)},markpath(){const e=this._markpath;return++e[e.length-1]},fieldRef(e,t){if(re(e))return wd(e,t);e.signal||q("Unsupported field reference: "+ee(e));const n=e.signal;let i=this.field[n];if(!i){const r={name:this.signalRef(n)};t&&(r.as=t),this.field[n]=i=Ce(this.add(fue(r)))}return i},compareRef(e){let t=!1;const n=s=>Vt(s)?(t=!0,this.signalRef(s.signal)):Zle(s)?(t=!0,this.exprRef(s.expr)):s,i=se(e.field).map(n),r=se(e.order).map(n);return t?Ce(this.add(aM({fields:i,orders:r}))):iM(i,r)},keyRef(e,t){let n=!1;const i=s=>Vt(s)?(n=!0,Ce(r[s.signal])):s,r=this.signals;return e=se(e).map(i),n?Ce(this.add(due({fields:e,flat:t}))):Gle(e,t)},sortRef(e){if(!e)return e;const t=q0(e.op,e.field),n=e.order||Vle;return n.signal?Ce(this.add(aM({fields:t,orders:this.signalRef(n.signal)}))):iM(t,n)},event(e,t){const n=e+":"+t;if(!this.events[n]){const i=this.id();this.streams.push({id:i,source:e,type:t}),this.events[n]=i}return this.events[n]},hasOwnSignal(e){return le(this.signals,e)},addSignal(e,t){this.hasOwnSignal(e)&&q("Duplicate signal name: "+ee(e));const n=t instanceof Q_?t:this.add(U0(t));return this.signals[e]=n},getSignal(e){return this.signals[e]||q("Unrecognized signal name: "+ee(e)),this.signals[e]},signalRef(e){return this.signals[e]?Ce(this.signals[e]):(le(this.lambdas,e)||(this.lambdas[e]=this.add(U0(null))),Ce(this.lambdas[e]))},parseLambdas(){const e=Object.keys(this.lambdas);for(let t=0,n=e.length;t0?",":"")+(ie(r)?r.signal||v7(r):ee(r))}return n+"]"}function ofe(e){let t="{",n=0,i,r;for(i in e)r=e[i],t+=(++n>1?",":"")+ee(i)+":"+(ie(r)?r.signal||v7(r):ee(r));return t+"}"}function afe(){const e="sans-serif",i="#4c78a8",r="#000",s="#888",o="#ddd";return{description:"Vega 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u=i;(l=(a=s.encode)==null?void 0:a.labels)!=null&&l.update&&ye(s.encode.labels.update.text)&&(u=Qa(i,"datum.label",s.encode.labels.update.text.signal)),N1e(s,"labels","text",{signal:u})}return s}}function O1e(e){return vc(e)||Fw(e)?L1e(e):WO(e)}function L1e(e){return e.children.reduce((t,n)=>t.concat(n.assembleProjections()),WO(e))}function WO(e){const t=e.component.projection;if(!t||t.merged)return[];const n=t.combine(),{name:i}=n;if(t.data){const r={signal:`[${t.size.map(o=>o.signal).join(", ")}]`},s=t.data.reduce((o,a)=>{const l=ye(a)?a.signal:`data('${e.lookupDataSource(a)}')`;return We(o,l)||o.push(l),o},[]);if(s.length<=0)throw new Error("Projection's fit didn't find any data sources");return[{name:i,size:r,fit:{signal:s.length>1?`[${s.join(", ")}]`:s[0]},...n}]}else return[{name:i,translate:{signal:"[width / 2, height / 2]"},...n}]}const I1e=["type","clipAngle","clipExtent","center","rotate","precision","reflectX","reflectY","coefficient","distance","fraction","lobes","parallel","radius","ratio","spacing","tilt"];class HO extends Zs{constructor(n,i,r,s){super({...i},{name:n});U(this,"specifiedProjection");U(this,"size");U(this,"data");U(this,"merged",!1);this.specifiedProjection=i,this.size=r,this.data=s}get isFit(){return!!this.data}}function GO(e){e.component.projection=At(e)?P1e(e):j1e(e)}function P1e(e){if(e.hasProjection){const t=hn(e.specifiedProjection),n=!(t&&(t.scale!=null||t.translate!=null)),i=n?[e.getSizeSignalRef("width"),e.getSizeSignalRef("height")]:void 0,r=n?z1e(e):void 0,s=new HO(e.projectionName(!0),{...hn(e.config.projection),...t},i,r);return s.get("type")||s.set("type","equalEarth",!1),s}}function z1e(e){const t=[],{encoding:n}=e;for(const i of[[vr,br],[Hi,_r]])(Yt(n[i[0]])||Yt(n[i[1]]))&&t.push({signal:e.getName(`geojson_${t.length}`)});return 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n=new Set(this.fields);for(const i of Gi)this[i]&&(this[i].sortField&&n.add(this[i].sortField.field),this[i].sortIndexField&&n.add(this[i].sortIndexField));return n}producedFields(){return new Set}getSource(){return this.name}getChildIndependentFieldsWithStep(){const n={};for(const i of Ws){const r=this.childModel.component.scales[i];if(r&&!r.merged){const s=r.get("type"),o=r.get("range");if(rn(s)&&rl(o)){const a=Z1(this.childModel,i),l=Cw(a);l?n[i]=l:K(W7(i))}}}return n}assembleRowColumnHeaderData(n,i,r){const s={row:"y",column:"x",facet:void 0}[n],o=[],a=[],l=[];s&&r&&r[s]&&(i?(o.push(`distinct_${r[s]}`),a.push("max")):(o.push(r[s]),a.push("distinct")),l.push(`distinct_${r[s]}`));const{sortField:u,sortIndexField:c}=this[n];if(u){const{op:f=x1,field:d}=u;o.push(d),a.push(f),l.push(ne(u,{forAs:!0}))}else 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i.project.items)!r.channel&&Yu(r.field)>1&&(t[r.field]="flatten")}return t}class Mn extends ct{constructor(n,i){super(n);U(this,"_parse");this._parse=i}clone(){return new Mn(null,Ne(this._parse))}hash(){return`Parse ${Ge(this._parse)}`}static makeExplicit(n,i,r){var a;let s={};const o=i.data;return!sa(o)&&((a=o==null?void 0:o.format)!=null&&a.parse)&&(s=o.format.parse),this.makeWithAncestors(n,s,{},r)}static makeWithAncestors(n,i,r,s){for(const l of X(r)){const u=s.getWithExplicit(l);u.value!==void 0&&(u.explicit||u.value===r[l]||u.value==="derived"||r[l]==="flatten"?delete r[l]:K(FD(l,r[l],u.value)))}for(const l of X(i)){const u=s.get(l);u!==void 0&&(u===i[l]?delete i[l]:K(FD(l,i[l],u)))}const o=new Zs(i,r);s.copyAll(o);const a={};for(const l of X(o.combine())){const u=o.get(l);u!==null&&(a[l]=u)}return X(a).length===0||s.parseNothing?null:new Mn(n,a)}get parse(){return this._parse}merge(n){this._parse={...this._parse,...n.parse},n.remove()}assembleFormatParse(){const n={};for(const i of X(this._parse)){const r=this._parse[i];Yu(i)===1&&(n[i]=r)}return n}producedFields(){return new Set(X(this._parse))}dependentFields(){return new Set(X(this._parse))}assembleTransforms(n=!1){return X(this._parse).filter(i=>n?Yu(i)>1:!0).map(i=>{const r=V1e(i,this._parse[i]);return r?{type:"formula",expr:r,as:Vu(i)}:null}).filter(i=>i!==null)}}class oa extends ct{clone(){return new oa(null)}constructor(t){super(t)}dependentFields(){return new Set}producedFields(){return new Set([Sr])}hash(){return"Identifier"}assemble(){return{type:"identifier",as:Sr}}}class Kd extends ct{constructor(n,i){super(n);U(this,"params");this.params=i}clone(){return new Kd(null,this.params)}dependentFields(){return new Set}producedFields(){}hash(){return`Graticule ${Ge(this.params)}`}assemble(){return{type:"graticule",...this.params===!0?{}:this.params}}}class Jd extends ct{constructor(n,i){super(n);U(this,"params");this.params=i}clone(){return new Jd(null,this.params)}dependentFields(){return new Set}producedFields(){return new Set([this.params.as??"data"])}hash(){return`Hash ${Ge(this.params)}`}assemble(){return{type:"sequence",...this.params}}}class bl extends ct{constructor(n){super(null);U(this,"_data");U(this,"_name");U(this,"_generator");n??(n={name:"source"});let i;if(sa(n)||(i=n.format?{...wi(n.format,["parse"])}:{}),Vd(n))this._data={values:n.values};else if(ac(n)){if(this._data={url:n.url},!i.type){let r=/(?:\.([^.]+))?$/.exec(n.url)[1];We(["json","csv","tsv","dsv","topojson"],r)||(r="json"),i.type=r}}else NR(n)?this._data={values:[{type:"Sphere"}]}:(MR(n)||sa(n))&&(this._data={});this._generator=sa(n),n.name&&(this._name=n.name),i&&!bt(i)&&(this._data.format=i)}dependentFields(){return new Set}producedFields(){}get data(){return this._data}hasName(){return!!this._name}get isGenerator(){return this._generator}get dataName(){return this._name}set dataName(n){this._name=n}set parent(n){throw new Error("Source nodes have to be roots.")}remove(){throw new Error("Source 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vw{constructor(n){super();U(this,"requiresSelectionId");this.requiresSelectionId=n&&sw(n)}run(n){n instanceof oa&&(this.requiresSelectionId&&(yw(n.parent)||n.parent instanceof Cr||n.parent instanceof Mn)||(this.setModified(),n.remove()))}}class Q1e extends bw{optimize(t){return this.run(t,new Set),this.modifiedFlag}run(t,n){let i=new Set;t instanceof hs&&(i=t.producedFields(),S7(i,n)&&(this.setModified(),t.removeFormulas(n),t.producedFields.length===0&&t.remove()));for(const r of t.children)this.run(r,new Set([...n,...i]))}}class eme extends vw{constructor(){super()}run(t){t instanceof ci&&!t.isRequired()&&(this.setModified(),t.remove())}}class tme extends vl{run(t){if(!yw(t)&&!(t.numChildren()>1)){for(const n of t.children)if(n instanceof Mn)if(t instanceof Mn)this.setModified(),t.merge(n);else{if(A7(t.producedFields(),n.dependentFields()))continue;this.setModified(),n.swapWithParent()}}}}class nme extends vl{run(t){const n=[...t.children],i=t.children.filter(r=>r instanceof 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vl{constructor(n){super();U(this,"model");this.model=n}run(n){const i=!(yw(n)||n instanceof dc||n instanceof Mn||n instanceof oa),r=[],s=[];for(const o of n.children)o instanceof gs&&(i&&!A7(n.producedFields(),o.dependentFields())?r.push(o):s.push(o));if(r.length>0){const o=r.pop();for(const a of r)o.merge(a,this.model.renameSignal.bind(this.model));this.setModified(),n instanceof gs?n.merge(o,this.model.renameSignal.bind(this.model)):o.swapWithParent()}if(s.length>1){const o=s.pop();for(const a of s)o.merge(a,this.model.renameSignal.bind(this.model));this.setModified()}}}class ame extends vl{run(t){const n=[...t.children];if(!Gu(n,o=>o instanceof ci)||t.numChildren()<=1)return;const r=[];let s;for(const o of n)if(o instanceof ci){let a=o;for(;a.numChildren()===1;){const[l]=a.children;if(l instanceof ci)a=l;else break}r.push(...a.children),s?(t.removeChild(o),o.parent=s.parent,s.parent.removeChild(s),s.parent=a,this.setModified()):s=a}else 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ct{constructor(n,i){super(n);U(this,"filter");this.filter=i}clone(){return new yc(null,{...this.filter})}static make(n,i,r){const{config:s,markDef:o}=i,{marks:a,scales:l}=r;if(a==="include-invalid-values"&&l==="include-invalid-values")return null;const u=i.reduceFieldDef((c,f,d)=>{const h=ss(d)&&i.getScaleComponent(d);if(h){const p=h.get("type"),{aggregate:g}=f,m=gx({scaleChannel:d,markDef:o,config:s,scaleType:p,isCountAggregate:u1(g)});m!=="show"&&m!=="always-valid"&&(c[f.field]=f)}return c},{});return X(u).length?new yc(n,u):null}dependentFields(){return new Set(X(this.filter))}producedFields(){return new Set}hash(){return`FilterInvalid ${Ge(this.filter)}`}assemble(){const n=X(this.filter).reduce((i,r)=>{const s=this.filter[r],o=ne(s,{expr:"datum"});return s!==null&&(s.type==="temporal"?i.push(`(isDate(${o}) || (${_w(o)}))`):s.type==="quantitative"&&i.push(_w(o))),i},[]);return n.length>0?{type:"filter",expr:n.join(" && ")}:null}}function _w(e){return`isValid(${e}) && isFinite(+${e})`}function lme(e){return e.stack.stackBy.reduce((t,n)=>{const i=n.fieldDef,r=ne(i);return r&&t.push(r),t},[])}function ume(e){return G(e)&&e.every(t=>re(t))&&e.length>1}class eo extends ct{constructor(n,i){super(n);U(this,"_stack");this._stack=i}clone(){return new eo(null,Ne(this._stack))}static makeFromTransform(n,i){const{stack:r,groupby:s,as:o,offset:a="zero"}=i,l=[],u=[];if(i.sort!==void 0)for(const d of i.sort)l.push(d.field),u.push(Lt(d.order,"ascending"));const c={field:l,order:u};let f;return ume(o)?f=o:re(o)?f=[o,`${o}_end`]:f=[`${i.stack}_start`,`${i.stack}_end`],new eo(n,{dimensionFieldDefs:[],stackField:r,groupby:s,offset:a,sort:c,facetby:[],as:f})}static makeFromEncoding(n,i){const r=i.stack,{encoding:s}=i;if(!r)return null;const{groupbyChannels:o,fieldChannel:a,offset:l,impute:u}=r,c=o.map(p=>{const g=s[p];return $r(g)}).filter(p=>!!p),f=lme(i),d=i.encoding.order;let h;if(G(d)||J(d))h=vD(d);else{const p=wN(d)?d.sort:a==="y"?"descending":"ascending";h=f.reduce((g,m)=>(g.field.includes(m)||(g.field.push(m),g.order.push(p)),g),{field:[],order:[]})}return new eo(n,{dimensionFieldDefs:c,stackField:i.vgField(a),facetby:[],stackby:f,sort:h,offset:l,impute:u,as:[i.vgField(a,{suffix:"start",forAs:!0}),i.vgField(a,{suffix:"end",forAs:!0})]})}get stack(){return this._stack}addDimensions(n){this._stack.facetby.push(...n)}dependentFields(){const n=new Set;return n.add(this._stack.stackField),this.getGroupbyFields().forEach(n.add,n),this._stack.facetby.forEach(n.add,n),this._stack.sort.field.forEach(n.add,n),n}producedFields(){return new Set(this._stack.as)}hash(){return`Stack ${Ge(this._stack)}`}getGroupbyFields(){const{dimensionFieldDefs:n,impute:i,groupby:r}=this._stack;return n.length>0?n.map(s=>s.bin?i?[ne(s,{binSuffix:"mid"})]:[ne(s,{}),ne(s,{binSuffix:"end"})]:[ne(s)]).flat():r??[]}assemble(){const n=[],{facetby:i,dimensionFieldDefs:r,stackField:s,stackby:o,sort:a,offset:l,impute:u,as:c}=this._stack;if(u)for(const f of r){const{bandPosition:d=.5,bin:h}=f;if(h){const p=ne(f,{expr:"datum"}),g=ne(f,{expr:"datum",binSuffix:"end"});n.push({type:"formula",expr:`${_w(p)} ? ${d}*${p}+${1-d}*${g} : ${p}`,as:ne(f,{binSuffix:"mid",forAs:!0})})}n.push({type:"impute",field:s,groupby:[...o,...i],key:ne(f,{binSuffix:"mid"}),method:"value",value:0})}return n.push({type:"stack",groupby:[...this.getGroupbyFields(),...i],field:s,sort:a,as:c,offset:l}),n}}class bc extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i}clone(){return new bc(null,Ne(this.transform))}addDimensions(n){this.transform.groupby=es(this.transform.groupby.concat(n),i=>i)}dependentFields(){const n=new Set;return(this.transform.groupby??[]).forEach(n.add,n),(this.transform.sort??[]).forEach(i=>n.add(i.field)),this.transform.window.map(i=>i.field).filter(i=>i!==void 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r=ww+i.getSource();i.setSource(r),e.model.component.data.outputNodes[r]=i}else(i instanceof Cr||i instanceof eo||i instanceof bc||i instanceof _l)&&i.addDimensions(e.fields);for(const r of n.children.flatMap(t))r.parent=i;return[i]}return n.children.flatMap(t)}return t}function xw(e){if(e instanceof mc)if(e.numChildren()===1&&!(e.children[0]instanceof ci)){const t=e.children[0];(t instanceof Cr||t instanceof eo||t instanceof bc||t instanceof _l)&&t.addDimensions(e.fields),t.swapWithParent(),xw(e)}else{const t=e.model.component.data.main;ZO(t);const n=cme(e),i=e.children.map(n).flat();for(const r of i)r.parent=t}else e.children.map(xw)}function ZO(e){if(e instanceof ci&&e.type===Ct.Main&&e.numChildren()===1){const t=e.children[0];t instanceof mc||(t.swapWithParent(),ZO(e))}}const ww="scale_",X1=5;function kw(e){for(const t of e){for(const n of t.children)if(n.parent!==t)return!1;if(!kw(t.children))return!1}return!0}function Ar(e,t){let n=!1;for(const i of t)n=e.optimize(i)||n;return n}function KO(e,t,n){let i=e.sources,r=!1;return r=Ar(new eme,i)||r,r=Ar(new J1e(t),i)||r,i=i.filter(s=>s.numChildren()>0),r=Ar(new ime,i)||r,i=i.filter(s=>s.numChildren()>0),n||(r=Ar(new tme,i)||r,r=Ar(new ome(t),i)||r,r=Ar(new Q1e,i)||r,r=Ar(new nme,i)||r,r=Ar(new sme,i)||r,r=Ar(new rme,i)||r,r=Ar(new K1e,i)||r,r=Ar(new ame,i)||r),e.sources=i,r}function fme(e,t){kw(e.sources);let n=0,i=0;for(let r=0;rt(n))}}function JO(e){At(e)?dme(e):hme(e)}function dme(e){const t=e.component.scales;for(const n of X(t)){const i=gme(e,n);if(t[n].setWithExplicit("domains",i),yme(e,n),e.component.data.isFaceted){let s=e;for(;!Si(s)&&s.parent;)s=s.parent;if(s.component.resolve.scale[n]==="shared")for(const a of i.value)Gs(a)&&(a.data=ww+a.data.replace(ww,""))}}}function hme(e){for(const n of e.children)JO(n);const t=e.component.scales;for(const n of X(t)){let i,r=null;for(const s of e.children){const o=s.component.scales[n];if(o){i===void 0?i=o.getWithExplicit("domains"):i=ra(i,o.getWithExplicit("domains"),"domains","scale",Sw);const a=o.get("selectionExtent");r&&a&&r.param!==a.param&&K(hde),r=a}}t[n].setWithExplicit("domains",i),r&&t[n].set("selectionExtent",r,!0)}}function pme(e,t,n,i){if(e==="unaggregated"){const{valid:r,reason:s}=QO(t,n);if(!r){K(s);return}}else if(e===void 0&&i.useUnaggregatedDomain){const{valid:r}=QO(t,n);if(r)return"unaggregated"}return e}function gme(e,t){const n=e.getScaleComponent(t).get("type"),{encoding:i}=e,r=pme(e.scaleDomain(t),e.typedFieldDef(t),n,e.config.scale);return r!==e.scaleDomain(t)&&(e.specifiedScales[t]={...e.specifiedScales[t],domain:r}),t==="x"&&Yt(i.x2)?Yt(i.x)?ra(aa(n,r,e,"x"),aa(n,r,e,"x2"),"domain","scale",Sw):aa(n,r,e,"x2"):t==="y"&&Yt(i.y2)?Yt(i.y)?ra(aa(n,r,e,"y"),aa(n,r,e,"y2"),"domain","scale",Sw):aa(n,r,e,"y2"):aa(n,r,e,t)}function mme(e,t,n){return e.map(i=>({signal:`{data: ${F1(i,{timeUnit:n,type:t})}}`}))}function Ew(e,t,n){var r;const i=(r=nn(n))==null?void 0:r.unit;return t==="temporal"||i?mme(e,t,i):[e]}function aa(e,t,n,i){const{encoding:r,markDef:s,mark:o,config:a,stack:l}=n,u=Yt(r[i]),{type:c}=u,f=u.timeUnit,d=u0e({invalid:os("invalid",s,a),isPath:ta(o)});if(zhe(t)){const g=aa(e,void 0,n,i),m=Ew(t.unionWith,c,f);return ds([...m,...g.value])}else{if(ye(t))return ds([t]);if(t&&t!=="unaggregated"&&!tN(t))return ds(Ew(t,c,f))}if(l&&i===l.fieldChannel){if(l.offset==="normalize")return $i([[0,1]]);const g=n.requestDataName(d);return $i([{data:g,field:n.vgField(i,{suffix:"start"})},{data:g,field:n.vgField(i,{suffix:"end"})}])}const h=ss(i)&&J(u)?bme(n,i,e):void 0;if(cs(u)){const g=Ew([u.datum],c,f);return $i(g)}const p=u;if(t==="unaggregated"){const{field:g}=u;return $i([{data:n.requestDataName(d),field:ne({field:g,aggregate:"min"})},{data:n.requestDataName(d),field:ne({field:g,aggregate:"max"})}])}else if(vt(p.bin)){if(rn(e))return $i(e==="bin-ordinal"?[]:[{data:Td(h)?n.requestDataName(d):n.requestDataName(Ct.Raw),field:n.vgField(i,Hd(p,i)?{binSuffix:"range"}:{}),sort:h===!0||!ie(h)?{field:n.vgField(i,{}),op:"min"}:h}]);{const{bin:g}=p;if(vt(g)){const m=mw(n,p.field,g);return $i([new sn(()=>{const y=n.getSignalName(m);return`[${y}.start, ${y}.stop]`})])}else return $i([{data:n.requestDataName(d),field:n.vgField(i,{})}])}}else if(p.timeUnit&&We(["time","utc"],e)){const g=r[rs(i)];if(xN(p,g,s,a)){const m=n.requestDataName(d),y=na({fieldDef:p,fieldDef2:g,markDef:s,config:a}),b=zd(o)&&y!==.5&&It(i);return $i([{data:m,field:n.vgField(i,b?{suffix:P1}:{})},{data:m,field:n.vgField(i,{suffix:b?z1:"end"})}])}}return $i(h?[{data:Td(h)?n.requestDataName(d):n.requestDataName(Ct.Raw),field:n.vgField(i),sort:h}]:[{data:n.requestDataName(d),field:n.vgField(i)}])}function $w(e,t){const{op:n,field:i,order:r}=e;return{op:n??(t?"sum":x1),...i?{field:qi(i)}:{},...r?{order:r}:{}}}function yme(e,t){var a;const n=e.component.scales[t],i=e.specifiedScales[t].domain,r=(a=e.fieldDef(t))==null?void 0:a.bin,s=tN(i)?i:void 0,o=il(r)&&c1(r.extent)?r.extent:void 0;(s||o)&&n.set("selectionExtent",s??o,!0)}function bme(e,t,n){if(!rn(n))return;const i=e.fieldDef(t),r=i.sort;if(bN(r))return{op:"min",field:pc(i,t),order:"ascending"};const{stack:s}=e,o=s?new Set([...s.groupbyFields,...s.stackBy.map(a=>a.fieldDef.field)]):void 0;if(Vs(r)){const a=s&&!o.has(r.field);return $w(r,a)}else if(hpe(r)){const{encoding:a,order:l}=r,u=e.fieldDef(a),{aggregate:c,field:f}=u,d=s&&!o.has(f);if(Hs(c)||Qo(c))return $w({field:ne(u),order:l},d);if(B7(c)||!c)return $w({op:c,field:f,order:l},d)}else{if(r==="descending")return{op:"min",field:e.vgField(t),order:"descending"};if(We(["ascending",void 0],r))return!0}}function QO(e,t){const{aggregate:n,type:i}=e;return n?re(n)&&!Zfe.has(n)?{valid:!1,reason:Ude(n)}:i==="quantitative"&&t==="log"?{valid:!1,reason:qde(e)}:{valid:!0}:{valid:!1,reason:jde(e)}}function Sw(e,t,n,i){return e.explicit&&t.explicit&&K(Yde(n,i,e.value,t.value)),{explicit:e.explicit,value:[...e.value,...t.value]}}function vme(e){const t=es(e.map(o=>{if(Gs(o)){const{sort:a,...l}=o;return l}return o}),Ge),n=es(e.map(o=>{if(Gs(o)){const a=o.sort;return a!==void 0&&!Td(a)&&("op"in a&&a.op==="count"&&delete a.field,a.order==="ascending"&&delete a.order),a}}).filter(o=>o!==void 0),Ge);if(t.length===0)return;if(t.length===1){const o=e[0];if(Gs(o)&&n.length>0){let a=n[0];if(n.length>1){K(OD);const l=n.filter(u=>ie(u)&&"op"in u&&u.op!=="min");n.every(u=>ie(u)&&"op"in u)&&l.length===1?a=l[0]:a=!0}else if(ie(a)&&"field"in a){const l=a.field;o.field===l&&(a=a.order?{order:a.order}:!0)}return{...o,sort:a}}return o}const i=es(n.map(o=>Td(o)||!("op"in o)||re(o.op)&&le(Gfe,o.op)?o:(K(Zde(o)),!0)),Ge);let r;i.length===1?r=i[0]:i.length>1&&(K(OD),r=!0);const s=es(e.map(o=>Gs(o)?o.data:null),o=>o);return s.length===1&&s[0]!==null?{data:s[0],fields:t.map(a=>a.field),...r?{sort:r}:{}}:{fields:t,...r?{sort:r}:{}}}function Cw(e){if(Gs(e)&&re(e.field))return e.field;if(Kfe(e)){let t;for(const n of e.fields)if(Gs(n)&&re(n.field)){if(!t)t=n.field;else if(t!==n.field)return K(Kde),t}return K(Jde),t}else if(Jfe(e)){K(Qde);const t=e.fields[0];return re(t)?t:void 0}}function Z1(e,t){const i=e.component.scales[t].get("domains").map(r=>(Gs(r)&&(r.data=e.lookupDataSource(r.data)),r));return vme(i)}function eL(e){return vc(e)||Fw(e)?e.children.reduce((t,n)=>t.concat(eL(n)),tL(e)):tL(e)}function tL(e){return X(e.component.scales).reduce((t,n)=>{const i=e.component.scales[n];if(i.merged)return t;const r=i.combine(),{name:s,type:o,selectionExtent:a,domains:l,range:u,reverse:c,...f}=r,d=_me(r.range,s,n,e),h=Z1(e,n),p=a?_0e(e,a,i,h):null;return t.push({name:s,type:o,...h?{domain:h}:{},...p?{domainRaw:p}:{},range:d,...c!==void 0?{reverse:c}:{},...f}),t},[])}function _me(e,t,n,i){if(It(n)){if(rl(e))return{step:{signal:`${t}_step`}}}else if(ie(e)&&Gs(e))return{...e,data:i.lookupDataSource(e.data)};return e}class nL extends Zs{constructor(n,i){super({},{name:n});U(this,"merged",!1);this.setWithExplicit("type",i)}domainHasZero(){const n=this.get("type");if(We([pn.LOG,pn.TIME,pn.UTC],n))return"definitely-not";const i=this.get("zero");if(i===!0||i===void 0&&We([pn.LINEAR,pn.SQRT,pn.POW],n))return"definitely";const r=this.get("domains");if(r.length>0){let s=!1,o=!1,a=!1;for(const l of r){if(G(l)){const u=l[0],c=l[l.length-1];if(Ke(u)&&Ke(c))if(u<=0&&c>=0){s=!0;continue}else{o=!0;continue}}a=!0}if(s)return"definitely";if(o&&!a)return"definitely-not"}return"maybe"}}const xme=["range","scheme"];function wme(e){const t=e.component.scales;for(const n of P7){const i=t[n];if(!i)continue;const r=kme(n,e);i.setWithExplicit("range",r)}}function iL(e,t){const n=e.fieldDef(t);if(n!=null&&n.bin){const{bin:i,field:r}=n,s=ui(t),o=e.getName(s);if(ie(i)&&i.binned&&i.step!==void 0)return new sn(()=>{const a=e.scaleName(t),l=`(domain("${a}")[1] - domain("${a}")[0]) / ${i.step}`;return`${e.getSignalName(o)} / (${l})`});if(vt(i)){const a=mw(e,r,i);return new sn(()=>{const l=e.getSignalName(a),u=`(${l}.stop - ${l}.start) / ${l}.step`;return`${e.getSignalName(o)} / (${u})`})}}}function kme(e,t){const n=t.specifiedScales[e],{size:i}=t,s=t.getScaleComponent(e).get("type");for(const f of xme)if(n[f]!==void 0){const d=ux(s,f),h=nN(e,f);if(!d)K(ND(s,f,e));else if(h)K(h);else switch(f){case"range":{const p=n.range;if(G(p)){if(It(e))return ds(p.map(g=>{if(g==="width"||g==="height"){const m=t.getName(g),y=t.getSignalName.bind(t);return sn.fromName(y,m)}return g}))}else if(ie(p))return ds({data:t.requestDataName(Ct.Main),field:p.field,sort:{op:"min",field:t.vgField(e)}});return ds(p)}case"scheme":return ds(Eme(n[f]))}}const o=e===$t||e==="xOffset"?"width":"height",a=i[o];if(fs(a)){if(It(e))if(rn(s)){const f=sL(a,t,e);if(f)return ds({step:f})}else K(RD(o));else if(Ld(e)){const f=e===Go?"x":"y";if(t.getScaleComponent(f).get("type")==="band"){const p=oL(a,s);if(p)return ds(p)}}}const{rangeMin:l,rangeMax:u}=n,c=$me(e,t);return(l!==void 0||u!==void 0)&&ux(s,"rangeMin")&&G(c)&&c.length===2?ds([l??c[0],u??c[1]]):$i(c)}function Eme(e){return Phe(e)?{scheme:e.name,...wi(e,["name"])}:{scheme:e}}function rL(e,t,n,{center:i}={}){const r=ui(e),s=t.getName(r),o=t.getSignalName.bind(t);return e===tn&&wr(n)?i?[sn.fromName(a=>`${o(a)}/2`,s),sn.fromName(a=>`-${o(a)}/2`,s)]:[sn.fromName(o,s),0]:i?[sn.fromName(a=>`-${o(a)}/2`,s),sn.fromName(a=>`${o(a)}/2`,s)]:[0,sn.fromName(o,s)]}function $me(e,t){const{size:n,config:i,mark:r,encoding:s}=t,{type:o}=Yt(s[e]),l=t.getScaleComponent(e).get("type"),{domain:u,domainMid:c}=t.specifiedScales[e];switch(e){case $t:case tn:{if(We(["point","band"],l)){const f=aL(e,n,i.view);if(fs(f))return{step:sL(f,t,e)}}return rL(e,t,l)}case Go:case Xu:return Sme(e,t,l);case Us:{const f=Fme(r,i),d=Tme(r,n,t,i);return ec(l)?Ame(f,d,Cme(l,i,u,e)):[f,d]}case Wi:return[0,Math.PI*2];case el:return[0,360];case yr:return[0,new sn(()=>{const f=t.getSignalName(Si(t.parent)?"child_width":"width"),d=t.getSignalName(Si(t.parent)?"child_height":"height");return`min(${f},${d})/2`})];case Vo:return{step:1e3/i.scale.framesPerSecond};case Zo:return[i.scale.minStrokeWidth,i.scale.maxStrokeWidth];case Ko:return[[1,0],[4,2],[2,1],[1,1],[1,2,4,2]];case li:return"symbol";case ai:case ns:case is:return l==="ordinal"?o==="nominal"?"category":"ordinal":c!==void 0?"diverging":r==="rect"||r==="geoshape"?"heatmap":"ramp";case qs:case Yo:case Xo:return[i.scale.minOpacity,i.scale.maxOpacity]}}function sL(e,t,n){const{encoding:i}=t,r=t.getScaleComponent(n),s=N7(n),o=i[s];if(iR({step:e,offsetIsDiscrete:Le(o)&&sx(o.type)})==="offset"&&LN(i,s)){const l=t.getScaleComponent(s);let 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r={x:iL(n,"x"),y:iL(n,"y")};switch(e){case"bar":case"tick":{if(i.scale.maxBandSize!==void 0)return i.scale.maxBandSize;const s=uL(t,r,i.view);return Ke(s)?s-1:new sn(()=>`${s.signal} - 1`)}case"line":case"trail":case"rule":return i.scale.maxStrokeWidth;case"text":return i.scale.maxFontSize;case"point":case"square":case"circle":{if(i.scale.maxSize)return i.scale.maxSize;const s=uL(t,r,i.view);return Ke(s)?Math.pow(lL*s,2):new sn(()=>`pow(${lL} * ${s.signal}, 2)`)}}throw new Error(f1("size",e))}function uL(e,t,n){const i=fs(e.width)?e.width.step:Px(n,"width"),r=fs(e.height)?e.height.step:Px(n,"height");return t.x||t.y?new sn(()=>`min(${[t.x?t.x.signal:i,t.y?t.y.signal:r].join(", ")})`):Math.min(i,r)}function cL(e,t){At(e)?Mme(e,t):hL(e,t)}function Mme(e,t){const n=e.component.scales,{config:i,encoding:r,markDef:s,specifiedScales:o}=e;for(const a of X(n)){const l=o[a],u=n[a],c=e.getScaleComponent(a),f=Yt(r[a]),d=l[t],h=c.get("type"),p=c.get("padding"),g=c.get("paddingInner"),m=ux(h,t),y=nN(a,t);if(d!==void 0&&(m?y&&K(y):K(ND(h,t,a))),m&&y===void 0)if(d!==void 0){const b=f.timeUnit,v=f.type;switch(t){case"domainMax":case"domainMin":ol(l[t])||v==="temporal"||b?u.set(t,{signal:F1(l[t],{type:v,timeUnit:b})},!0):u.set(t,l[t],!0);break;default:u.copyKeyFromObject(t,l)}}else{const b=Z(fL,t)?fL[t]({model:e,channel:a,fieldOrDatumDef:f,scaleType:h,scalePadding:p,scalePaddingInner:g,domain:l.domain,domainMin:l.domainMin,domainMax:l.domainMax,markDef:s,config:i,hasNestedOffsetScale:IN(r,a),hasSecondaryRangeChannel:!!r[rs(a)]}):i.scale[t];b!==void 0&&u.set(t,b,!1)}}}const fL={bins:({model:e,fieldOrDatumDef:t})=>J(t)?Dme(e,t):void 0,interpolate:({channel:e,fieldOrDatumDef:t})=>Nme(e,t.type),nice:({scaleType:e,channel:t,domain:n,domainMin:i,domainMax:r,fieldOrDatumDef:s})=>Rme(e,t,n,i,r,s),padding:({channel:e,scaleType:t,fieldOrDatumDef:n,markDef:i,config:r})=>Ome(e,t,r.scale,n,i,r.bar),paddingInner:({scalePadding:e,channel:t,markDef:n,scaleType:i,config:r,hasNestedOffsetScale:s})=>Lme(e,t,n.type,i,r.scale,s),paddingOuter:({scalePadding:e,channel:t,scaleType:n,scalePaddingInner:i,config:r,hasNestedOffsetScale:s})=>Ime(e,t,n,i,r.scale,s),reverse:({fieldOrDatumDef:e,scaleType:t,channel:n,config:i})=>{const r=J(e)?e.sort:void 0;return Pme(t,r,n,i.scale)},zero:({channel:e,fieldOrDatumDef:t,domain:n,markDef:i,scaleType:r,config:s,hasSecondaryRangeChannel:o})=>zme(e,t,n,i,r,s.scale,o)};function dL(e){At(e)?wme(e):hL(e,"range")}function hL(e,t){const n=e.component.scales;for(const i of e.children)t==="range"?dL(i):cL(i,t);for(const i of X(n)){let r;for(const s of e.children){const o=s.component.scales[i];if(o){const a=o.getWithExplicit(t);r=ra(r,a,t,"scale",TR((l,u)=>{switch(t){case"range":return l.step&&u.step?l.step-u.step:0}return 0}))}}n[i].setWithExplicit(t,r)}}function Dme(e,t){const n=t.bin;if(vt(n)){const i=mw(e,t.field,n);return new sn(()=>e.getSignalName(i))}else if(dn(n)&&il(n)&&n.step!==void 0)return{step:n.step}}function Nme(e,t){if(We([ai,ns,is],e)&&t!=="nominal")return"hcl"}function Rme(e,t,n,i,r,s){var o;if(!((o=$r(s))!=null&&o.bin||G(n)||r!=null||i!=null||We([pn.TIME,pn.UTC],e)))return It(t)?!0:void 0}function Ome(e,t,n,i,r,s){if(It(e)){if(ls(t)){if(n.continuousPadding!==void 0)return n.continuousPadding;const{type:o,orient:a}=r;if(o==="bar"&&!(J(i)&&(i.bin||i.timeUnit))&&(a==="vertical"&&e==="x"||a==="horizontal"&&e==="y"))return s.continuousBandSize}if(t===pn.POINT)return n.pointPadding}}function Lme(e,t,n,i,r,s=!1){if(e===void 0){if(It(t)){const{bandPaddingInner:o,barBandPaddingInner:a,rectBandPaddingInner:l,tickBandPaddingInner:u,bandWithNestedOffsetPaddingInner:c}=r;return s?c:Lt(o,n==="bar"?a:n==="tick"?u:l)}else if(Ld(t)&&i===pn.BAND)return r.offsetBandPaddingInner}}function Ime(e,t,n,i,r,s=!1){if(e===void 0){if(It(t)){const{bandPaddingOuter:o,bandWithNestedOffsetPaddingOuter:a}=r;if(s)return a;if(n===pn.BAND)return Lt(o,ye(i)?{signal:`${i.signal}/2`}:i/2)}else if(Ld(t)){if(n===pn.POINT)return .5;if(n===pn.BAND)return r.offsetBandPaddingOuter}}}function Pme(e,t,n,i){if(n==="x"&&i.xReverse!==void 0)return wr(e)&&t==="descending"?ye(i.xReverse)?{signal:`!${i.xReverse.signal}`}:!i.xReverse:i.xReverse;if(wr(e)&&t==="descending")return!0}function zme(e,t,n,i,r,s,o){if(!!n&&n!=="unaggregated"&&wr(r)){if(G(n)){const l=n[0],u=n[n.length-1];if(Ke(l)&&l<=0&&Ke(u)&&u>=0)return!0}return!1}if(e==="size"&&t.type==="quantitative"&&!ec(r))return!0;if(!(J(t)&&t.bin)&&We([...Ws,...Ife],e)){const{orient:l,type:u}=i;return We(["bar","area","line","trail"],u)&&(l==="horizontal"&&e==="y"||l==="vertical"&&e==="x")?!1:We(["bar","area"],u)&&!o?!0:s==null?void 0:s.zero}return!1}function Bme(e,t,n,i,r=!1){const s=jme(t,n,i,r),{type:o}=e;return ss(t)?o!==void 0?Hhe(t,o)?J(n)&&!Whe(o,n.type)?(K(Gde(o,s)),s):o:(K(Hde(t,o,s)),s):s:null}function jme(e,t,n,i){var r;switch(t.type){case"nominal":case"ordinal":{if(Ku(e)||z7(e)==="discrete")return e==="shape"&&t.type==="ordinal"&&K(V7(e,"ordinal")),"ordinal";if(I7(e))return"band";if(It(e)||Ld(e)){if(We(["rect","bar","image","rule","tick"],n.type)||i)return"band"}else if(n.type==="arc"&&e in L7)return"band";const s=n[ui(e)];return cl(s)||nc(t)&&((r=t.axis)!=null&&r.tickBand)?"band":"point"}case"temporal":return Ku(e)?"time":z7(e)==="discrete"?(K(V7(e,"temporal")),"ordinal"):J(t)&&t.timeUnit&&nn(t.timeUnit).utc?"utc":I7(e)?"band":"time";case"quantitative":return Ku(e)?J(t)&&vt(t.bin)?"bin-ordinal":"linear":z7(e)==="discrete"?(K(V7(e,"quantitative")),"ordinal"):I7(e)?"band":"linear";case"geojson":return}throw new Error(MD(t.type))}function Ume(e,{ignoreRange:t}={}){pL(e),JO(e);for(const n of qhe)cL(e,n);t||dL(e)}function pL(e){At(e)?e.component.scales=qme(e):e.component.scales=Hme(e)}function qme(e){const{encoding:t,mark:n,markDef:i}=e,r={};for(const s of P7){const o=Yt(t[s]);if(o&&n===sN&&s===li&&o.type===Qu)continue;let a=o&&o.scale;if(o&&a!==null&&a!==!1){a??(a={});const l=IN(t,s),u=Bme(a,s,o,i,l);r[s]=new nL(e.scaleName(`${s}`,!0),{value:u,explicit:a.type===u})}}return r}const Wme=TR((e,t)=>ZD(e)-ZD(t));function Hme(e){var r;const t=e.component.scales={},n={},i=e.component.resolve;for(const s of e.children){pL(s);for(const o of X(s.component.scales))if((r=i.scale)[o]??(r[o]=NO(o,e)),i.scale[o]==="shared"){const a=n[o],l=s.component.scales[o].getWithExplicit("type");a?Nhe(a.value,l.value)?n[o]=ra(a,l,"type","scale",Wme):(i.scale[o]="independent",delete n[o]):n[o]=l}}for(const s of X(n)){const o=e.scaleName(s,!0),a=n[s];t[s]=new nL(o,a);for(const l of e.children){const u=l.component.scales[s];u&&(l.renameScale(u.get("name"),o),u.merged=!0)}}return t}class Aw{constructor(){U(this,"nameMap");this.nameMap={}}rename(t,n){this.nameMap[t]=n}has(t){return this.nameMap[t]!==void 0}get(t){for(;this.nameMap[t]&&t!==this.nameMap[t];)t=this.nameMap[t];return t}}function At(e){return(e==null?void 0:e.type)==="unit"}function Si(e){return(e==null?void 0:e.type)==="facet"}function Fw(e){return(e==null?void 0:e.type)==="concat"}function vc(e){return(e==null?void 0:e.type)==="layer"}class Tw{constructor(t,n,i,r,s,o,a){U(this,"type");U(this,"parent");U(this,"config");U(this,"name");U(this,"size");U(this,"title");U(this,"description");U(this,"data");U(this,"transforms");U(this,"layout");U(this,"scaleNameMap");U(this,"projectionNameMap");U(this,"signalNameMap");U(this,"component");U(this,"view");this.type=n,this.parent=i,this.config=s,this.parent=i,this.config=s,this.view=hn(a),this.name=t.name??r,this.title=ea(t.title)?{text:t.title}:t.title?hn(t.title):void 0,this.scaleNameMap=i?i.scaleNameMap:new Aw,this.projectionNameMap=i?i.projectionNameMap:new Aw,this.signalNameMap=i?i.signalNameMap:new Aw,this.data=t.data,this.description=t.description,this.transforms=Kge(t.transform??[]),this.layout=n==="layer"||n==="unit"?{}:nge(t,n,s),this.component={data:{sources:i?i.component.data.sources:[],outputNodes:i?i.component.data.outputNodes:{},outputNodeRefCounts:i?i.component.data.outputNodeRefCounts:{},isFaceted:w1(t)||(i==null?void 0:i.component.data.isFaceted)&&t.data===void 0},layoutSize:new Zs,layoutHeaders:{row:{},column:{},facet:{}},mark:null,resolve:{scale:{},axis:{},legend:{},...o?Ne(o):{}},selection:null,scales:null,projection:null,axes:{},legends:{}}}get width(){return this.getSizeSignalRef("width")}get height(){return this.getSizeSignalRef("height")}parse(){this.parseScale(),this.parseLayoutSize(),this.renameTopLevelLayoutSizeSignal(),this.parseSelections(),this.parseProjection(),this.parseData(),this.parseAxesAndHeaders(),this.parseLegends(),this.parseMarkGroup()}parseScale(){Ume(this)}parseProjection(){GO(this)}renameTopLevelLayoutSizeSignal(){this.getName("width")!=="width"&&this.renameSignal(this.getName("width"),"width"),this.getName("height")!=="height"&&this.renameSignal(this.getName("height"),"height")}parseLegends(){jO(this)}assembleEncodeFromView(t){const{style:n,...i}=t,r={};for(const s of X(i)){const o=i[s];o!==void 0&&(r[s]=xt(o))}return r}assembleGroupEncodeEntry(t){let n={};return this.view&&(n=this.assembleEncodeFromView(this.view)),!t&&(this.description&&(n.description=xt(this.description)),this.type==="unit"||this.type==="layer")?{width:this.getSizeSignalRef("width"),height:this.getSizeSignalRef("height"),...n}:bt(n)?void 0:n}assembleLayout(){if(!this.layout)return;const{spacing:t,...n}=this.layout,{component:i,config:r}=this,s=d1e(i.layoutHeaders,r);return{padding:t,...this.assembleDefaultLayout(),...n,...s?{titleBand:s}:{}}}assembleDefaultLayout(){return{}}assembleHeaderMarks(){const{layoutHeaders:t}=this.component;let n=[];for(const i of Gi)t[i].title&&n.push(o1e(this,i));for(const i of cw)n=n.concat(a1e(this,i));return n}assembleAxes(){return V0e(this.component.axes,this.config)}assembleLegends(){return qO(this)}assembleProjections(){return O1e(this)}assembleTitle(){const{encoding:t,...n}=this.title??{},i={...hD(this.config.title).nonMarkTitleProperties,...n,...t?{encode:{update:t}}:{}};if(i.text)return We(["unit","layer"],this.type)?We(["middle",void 0],i.anchor)&&(i.frame??(i.frame="group")):i.anchor??(i.anchor="start"),bt(i)?void 0:i}assembleGroup(t=[]){const n={};t=t.concat(this.assembleSignals()),t.length>0&&(n.signals=t);const i=this.assembleLayout();i&&(n.layout=i),n.marks=[].concat(this.assembleHeaderMarks(),this.assembleMarks());const r=!this.parent||Si(this.parent)?eL(this):[];r.length>0&&(n.scales=r);const s=this.assembleAxes();s.length>0&&(n.axes=s);const o=this.assembleLegends();return o.length>0&&(n.legends=o),n}getName(t){return Et((this.name?`${this.name}_`:"")+t)}getDataName(t){return this.getName(Ct[t].toLowerCase())}requestDataName(t){const n=this.getDataName(t),i=this.component.data.outputNodeRefCounts;return i[n]=(i[n]||0)+1,n}getSizeSignalRef(t){if(Si(this.parent)){const n=MO(t),i=l1(n),r=this.component.scales[i];if(r&&!r.merged){const s=r.get("type"),o=r.get("range");if(rn(s)&&rl(o)){const a=r.get("name"),l=Z1(this,i),u=Cw(l);if(u){const c=ne({aggregate:"distinct",field:u},{expr:"datum"});return{signal:TO(a,r,c)}}else return K(W7(i)),null}}}return{signal:this.signalNameMap.get(this.getName(t))}}lookupDataSource(t){const n=this.component.data.outputNodes[t];return n?n.getSource():t}getSignalName(t){return this.signalNameMap.get(t)}renameSignal(t,n){this.signalNameMap.rename(t,n)}renameScale(t,n){this.scaleNameMap.rename(t,n)}renameProjection(t,n){this.projectionNameMap.rename(t,n)}scaleName(t,n){if(n)return this.getName(t);if(rD(t)&&ss(t)&&this.component.scales[t]||this.scaleNameMap.has(this.getName(t)))return this.scaleNameMap.get(this.getName(t))}projectionName(t){if(t)return this.getName("projection");if(this.component.projection&&!this.component.projection.merged||this.projectionNameMap.has(this.getName("projection")))return this.projectionNameMap.get(this.getName("projection"))}getScaleComponent(t){if(!this.component.scales)throw new Error("getScaleComponent cannot be called before parseScale(). Make sure you have called parseScale or use parseUnitModelWithScale().");const n=this.component.scales[t];return n&&!n.merged?n:this.parent?this.parent.getScaleComponent(t):void 0}getScaleType(t){const n=this.getScaleComponent(t);return n?n.get("type"):void 0}getSelectionComponent(t,n){let i=this.component.selection[t];if(!i&&this.parent&&(i=this.parent.getSelectionComponent(t,n)),!i)throw new Error(ade(n));return i}hasAxisOrientSignalRef(){var t,n;return((t=this.component.axes.x)==null?void 0:t.some(i=>i.hasOrientSignalRef()))||((n=this.component.axes.y)==null?void 0:n.some(i=>i.hasOrientSignalRef()))}}class gL extends Tw{vgField(t,n={}){const i=this.fieldDef(t);if(i)return ne(i,n)}reduceFieldDef(t,n){return Npe(this.getMapping(),(i,r,s)=>{const o=$r(r);return o?t(i,o,s):i},n)}forEachFieldDef(t,n){$x(this.getMapping(),(i,r)=>{const s=$r(i);s&&t(s,r)},n)}}class K1 extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??"value",r[1]??"density"];const s=this.transform.resolve??"shared";this.transform.resolve=s}clone(){return new K1(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.density,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`DensityTransform ${Ge(this.transform)}`}assemble(){const{density:n,...i}=this.transform,r={type:"kde",field:n,...i};return r.resolve=this.transform.resolve,r}}class J1 extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i)}clone(){return new J1(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.extent])}producedFields(){return new Set([])}hash(){return`ExtentTransform ${Ge(this.transform)}`}assemble(){const{extent:n,param:i}=this.transform;return{type:"extent",field:n,signal:i}}}class Q1 extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const{flatten:r,as:s=[]}=this.transform;this.transform.as=r.map((o,a)=>s[a]??o)}clone(){return new Q1(this.parent,Ne(this.transform))}dependentFields(){return new Set(this.transform.flatten)}producedFields(){return new Set(this.transform.as)}hash(){return`FlattenTransform ${Ge(this.transform)}`}assemble(){const{flatten:n,as:i}=this.transform;return{type:"flatten",fields:n,as:i}}}class em extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??"key",r[1]??"value"]}clone(){return new em(null,Ne(this.transform))}dependentFields(){return new Set(this.transform.fold)}producedFields(){return new Set(this.transform.as)}hash(){return`FoldTransform ${Ge(this.transform)}`}assemble(){const{fold:n,as:i}=this.transform;return{type:"fold",fields:n,as:i}}}class _c extends ct{constructor(n,i,r,s){super(n);U(this,"fields");U(this,"geojson");U(this,"signal");this.fields=i,this.geojson=r,this.signal=s}clone(){return new _c(null,Ne(this.fields),this.geojson,this.signal)}static parseAll(n,i){if(i.component.projection&&!i.component.projection.isFit)return n;let r=0;for(const s of[[vr,br],[Hi,_r]]){const o=s.map(a=>{const l=Yt(i.encoding[a]);return J(l)?l.field:cs(l)?{expr:`${l.datum}`}:Er(l)?{expr:`${l.value}`}:void 0});(o[0]||o[1])&&(n=new _c(n,o,null,i.getName(`geojson_${r++}`)))}if(i.channelHasField(li)){const s=i.typedFieldDef(li);s.type===Qu&&(n=new _c(n,null,s.field,i.getName(`geojson_${r++}`)))}return n}dependentFields(){const n=(this.fields??[]).filter(re);return new Set([...this.geojson?[this.geojson]:[],...n])}producedFields(){return new Set}hash(){return`GeoJSON ${this.geojson} ${this.signal} ${Ge(this.fields)}`}assemble(){return[...this.geojson?[{type:"filter",expr:`isValid(datum["${this.geojson}"])`}]:[],{type:"geojson",...this.fields?{fields:this.fields}:{},...this.geojson?{geojson:this.geojson}:{},signal:this.signal}]}}class Qd extends ct{constructor(n,i,r,s){super(n);U(this,"projection");U(this,"fields");U(this,"as");this.projection=i,this.fields=r,this.as=s}clone(){return new Qd(null,this.projection,Ne(this.fields),Ne(this.as))}static parseAll(n,i){if(!i.projectionName())return n;for(const r of[[vr,br],[Hi,_r]]){const s=r.map(a=>{const l=Yt(i.encoding[a]);return J(l)?l.field:cs(l)?{expr:`${l.datum}`}:Er(l)?{expr:`${l.value}`}:void 0}),o=r[0]===Hi?"2":"";(s[0]||s[1])&&(n=new Qd(n,i.projectionName(),s,[i.getName(`x${o}`),i.getName(`y${o}`)]))}return n}dependentFields(){return new Set(this.fields.filter(re))}producedFields(){return new Set(this.as)}hash(){return`Geopoint ${this.projection} ${Ge(this.fields)} ${Ge(this.as)}`}assemble(){return{type:"geopoint",projection:this.projection,fields:this.fields,as:this.as}}}class xl extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i}clone(){return new xl(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.impute,this.transform.key,...this.transform.groupby??[]])}producedFields(){return new Set([this.transform.impute])}processSequence(n){const{start:i=0,stop:r,step:s}=n;return{signal:`sequence(${[i,r,...s?[s]:[]].join(",")})`}}static makeFromTransform(n,i){return new xl(n,i)}static makeFromEncoding(n,i){const r=i.encoding,s=r.x,o=r.y;if(J(s)&&J(o)){const a=s.impute?s:o.impute?o:void 0;if(a===void 0)return;const l=s.impute?o:o.impute?s:void 0,{method:u,value:c,frame:f,keyvals:d}=a.impute,h=BN(i.mark,r);return new xl(n,{impute:a.field,key:l.field,...u?{method:u}:{},...c!==void 0?{value:c}:{},...f?{frame:f}:{},...d!==void 0?{keyvals:d}:{},...h.length?{groupby:h}:{}})}return null}hash(){return`Impute ${Ge(this.transform)}`}assemble(){const{impute:n,key:i,keyvals:r,method:s,groupby:o,value:a,frame:l=[null,null]}=this.transform,u={type:"impute",field:n,key:i,...r?{keyvals:Dge(r)?this.processSequence(r):r}:{},method:"value",...o?{groupby:o}:{},value:!s||s==="value"?a:null};if(s&&s!=="value"){const c={type:"window",as:[`imputed_${n}_value`],ops:[s],fields:[n],frame:l,ignorePeers:!1,...o?{groupby:o}:{}},f={type:"formula",expr:`datum.${n} === null ? datum.imputed_${n}_value : datum.${n}`,as:n};return[u,c,f]}else return[u]}}class tm extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??i.on,r[1]??i.loess]}clone(){return new tm(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.loess,this.transform.on,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`LoessTransform ${Ge(this.transform)}`}assemble(){const{loess:n,on:i,...r}=this.transform;return{type:"loess",x:i,y:n,...r}}}class eh extends ct{constructor(n,i,r){super(n);U(this,"transform");U(this,"secondary");this.transform=i,this.secondary=r}clone(){return new eh(null,Ne(this.transform),this.secondary)}static make(n,i,r,s){const o=i.component.data.sources,{from:a}=r;let l=null;if(Nge(a)){let u=vL(a.data,o);u||(u=new bl(a.data),o.push(u));const c=i.getName(`lookup_${s}`);l=new ci(u,c,Ct.Lookup,i.component.data.outputNodeRefCounts),i.component.data.outputNodes[c]=l}else if(Rge(a)){const u=a.param;r={as:u,...r};let c;try{c=i.getSelectionComponent(Et(u),u)}catch{throw new Error(fde(u))}if(l=c.materialized,!l)throw new Error(dde(u))}return new eh(n,r,l.getSource())}dependentFields(){return new Set([this.transform.lookup])}producedFields(){return new Set(this.transform.as?se(this.transform.as):this.transform.from.fields)}hash(){return`Lookup ${Ge({transform:this.transform,secondary:this.secondary})}`}assemble(){let n;if(this.transform.from.fields)n={values:this.transform.from.fields,...this.transform.as?{as:se(this.transform.as)}:{}};else{let i=this.transform.as;re(i)||(K(kde),i="_lookup"),n={as:[i]}}return{type:"lookup",from:this.secondary,key:this.transform.from.key,fields:[this.transform.lookup],...n,...this.transform.default?{default:this.transform.default}:{}}}}class nm extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??"prob",r[1]??"value"]}clone(){return new nm(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.quantile,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`QuantileTransform ${Ge(this.transform)}`}assemble(){const{quantile:n,...i}=this.transform;return{type:"quantile",field:n,...i}}}class im extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i,this.transform=Ne(i);const r=this.transform.as??[void 0,void 0];this.transform.as=[r[0]??i.on,r[1]??i.regression]}clone(){return new im(null,Ne(this.transform))}dependentFields(){return new Set([this.transform.regression,this.transform.on,...this.transform.groupby??[]])}producedFields(){return new Set(this.transform.as)}hash(){return`RegressionTransform ${Ge(this.transform)}`}assemble(){const{regression:n,on:i,...r}=this.transform;return{type:"regression",x:i,y:n,...r}}}class rm extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i}clone(){return new rm(null,Ne(this.transform))}addDimensions(n){this.transform.groupby=es((this.transform.groupby??[]).concat(n),i=>i)}producedFields(){}dependentFields(){return new Set([this.transform.pivot,this.transform.value,...this.transform.groupby??[]])}hash(){return`PivotTransform ${Ge(this.transform)}`}assemble(){const{pivot:n,value:i,groupby:r,limit:s,op:o}=this.transform;return{type:"pivot",field:n,value:i,...s!==void 0?{limit:s}:{},...o!==void 0?{op:o}:{},...r!==void 0?{groupby:r}:{}}}}class sm extends ct{constructor(n,i){super(n);U(this,"transform");this.transform=i}clone(){return new sm(null,Ne(this.transform))}dependentFields(){return new Set}producedFields(){return new Set}hash(){return`SampleTransform ${Ge(this.transform)}`}assemble(){return{type:"sample",size:this.transform.sample}}}function mL(e){let t=0;function n(i,r){if(i instanceof bl&&!i.isGenerator&&!ac(i.data)&&(e.push(r),r={name:null,source:r.name,transform:[]}),i instanceof Mn&&(i.parent instanceof bl&&!r.source?(r.format={...r.format,parse:i.assembleFormatParse()},r.transform.push(...i.assembleTransforms(!0))):r.transform.push(...i.assembleTransforms())),i instanceof 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m2e({encoding:e,size:t}){for(const n of Ws){const i=ui(n);fs(t[i])&&ia(e[n])&&(delete t[i],K(RD(i)))}return t}const y2e={vgMark:"arc",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...Zn("x",e,{defaultPos:"mid"}),...Zn("y",e,{defaultPos:"mid"}),...Js(e,"radius"),...Js(e,"theta")})},b2e={vgMark:"area",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",orient:"include",size:"ignore",theta:"ignore"}),...j1("x",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="horizontal"}),...j1("y",e,{defaultPos:"zeroOrMin",defaultPos2:"zeroOrMin",range:e.markDef.orient==="vertical"}),...iw(e)})},v2e={vgMark:"rect",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...Js(e,"x"),...Js(e,"y")})},_2e={vgMark:"shape",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"})}),postEncodingTransform:e=>{const{encoding:t}=e,n=t.shape;return[{type:"geoshape",projection:e.projectionName(),...n&&J(n)&&n.type===Qu?{field:ne(n,{expr:"datum"})}:{}}]}},x2e={vgMark:"image",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"ignore",orient:"ignore",size:"ignore",theta:"ignore"}),...Js(e,"x"),...Js(e,"y"),...ew(e,"url")})},w2e={vgMark:"line",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",size:"ignore",orient:"ignore",theta:"ignore"}),...Zn("x",e,{defaultPos:"mid"}),...Zn("y",e,{defaultPos:"mid"}),...gn("size",e,{vgChannel:"strokeWidth"}),...iw(e)})},k2e={vgMark:"trail",encodeEntry:e=>({...Vi(e,{align:"ignore",baseline:"ignore",color:"include",size:"include",orient:"ignore",theta:"ignore"}),...Zn("x",e,{defaultPos:"mid"}),...Zn("y",e,{defaultPos:"mid"}),...gn("size",e),...iw(e)})};function 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M2e(e,t,n){if(ot("align",e,n)===void 0)return"center"}function D2e(e,t,n){if(ot("baseline",e,n)===void 0)return"middle"}const um={arc:y2e,area:b2e,bar:v2e,circle:S2e,geoshape:_2e,image:x2e,line:w2e,point:$2e,rect:A2e,rule:F2e,square:C2e,text:T2e,tick:{vgMark:"rect",encodeEntry:e=>{const{config:t,markDef:n}=e,i=n.orient,r=i==="horizontal"?"x":"y",s=i==="horizontal"?"y":"x",o=i==="horizontal"?"height":"width";return{...Vi(e,{align:"ignore",baseline:"ignore",color:"include",orient:"ignore",size:"ignore",theta:"ignore"}),...Js(e,r),...Zn(s,e,{defaultPos:"mid",vgChannel:s==="y"?"yc":"xc"}),[o]:xt(ot("thickness",n,t))}}},trail:k2e};function N2e(e){if(We([y1,g1,Xhe],e.mark)){const t=BN(e.mark,e.encoding);if(t.length>0)return R2e(e,t)}else if(e.mark===m1){const t=j7.some(n=>ot(n,e.markDef,e.config));if(e.stack&&!e.fieldDef("size")&&t)return O2e(e)}return Ow(e)}const xL="faceted_path_";function R2e(e,t){return[{name:e.getName("pathgroup"),type:"group",from:{facet:{name:xL+e.requestDataName(Ct.Main),data:e.requestDataName(Ct.Main),groupby:t}},encode:{update:{width:{field:{group:"width"}},height:{field:{group:"height"}}}},marks:Ow(e,{fromPrefix:xL})}]}const wL="stack_group_";function O2e(e){var u;const[t]=Ow(e,{fromPrefix:wL}),n=e.scaleName(e.stack.fieldChannel),i=(c={})=>e.vgField(e.stack.fieldChannel,c),r=(c,f)=>{const d=[i({prefix:"min",suffix:"start",expr:f}),i({prefix:"max",suffix:"start",expr:f}),i({prefix:"min",suffix:"end",expr:f}),i({prefix:"max",suffix:"end",expr:f})];return`${c}(${d.map(h=>`scale('${n}',${h})`).join(",")})`};let 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h;const{mark:n,markDef:i,encoding:r,config:s}=e,o=Lt(i.clip,I2e(e),P2e(e)),a=yD(i),l=r.key,u=L2e(e),c=z2e(e);c&&Object.values(e.component.selection).some(p=>p.type==="point"&&!p.bind&&p.on!=="pointerover")&&((h=e.markDef).cursor??(h.cursor="pointer"));const f=ot("aria",i,s),d=um[n].postEncodingTransform?um[n].postEncodingTransform(e):null;return[{name:e.getName("marks"),type:um[n].vgMark,...o?{clip:o}:{},...a?{style:a}:{},...l?{key:l.field}:{},...u?{sort:u}:{},...c||{},...f===!1?{aria:f}:{},from:{data:t.fromPrefix+e.requestDataName(Ct.Main)},encode:{update:um[n].encodeEntry(e)},...d?{transform:d}:{}}]}function I2e(e){const t=e.getScaleComponent("x"),n=e.getScaleComponent("y");return t!=null&&t.get("selectionExtent")||n!=null&&n.get("selectionExtent")?!0:void 0}function P2e(e){const t=e.component.projection;return t&&!t.isFit?!0:void 0}function z2e(e){if(!e.component.selection)return null;const t=X(e.component.selection).length;let n=t,i=e.parent;for(;i&&n===0;)n=X(i.component.selection).length,i=i.parent;return n?{interactive:t>0||e.mark==="geoshape"||!!e.encoding.tooltip||!!e.markDef.tooltip}:null}class kL extends gL{constructor(n,i,r,s={},o){super(n,"unit",i,r,o,void 0,rR(n)?n.view:void 0);U(this,"markDef");U(this,"encoding");U(this,"specifiedScales",{});U(this,"stack");U(this,"specifiedAxes",{});U(this,"specifiedLegends",{});U(this,"specifiedProjection",{});U(this,"selection",[]);U(this,"children",[]);U(this,"correctDataNames",n=>{var i,r,s;return(i=n.from)!=null&&i.data&&(n.from.data=this.lookupDataSource(n.from.data),"time"in this.encoding&&(n.from.data=n.from.data+zR)),(s=(r=n.from)==null?void 0:r.facet)!=null&&s.data&&(n.from.facet.data=this.lookupDataSource(n.from.facet.data)),n});const a=us(n.mark)?{...n.mark}:{type:n.mark},l=a.type;a.filled===void 0&&(a.filled=Ege(a,o,{graticule:n.data&&Gx(n.data)}));const u=this.encoding=Mpe(n.encoding||{},l,a.filled,o);this.markDef=hR(a,u,o),this.size=m2e({encoding:u,size:rR(n)?{...s,...n.width!==void 0?{width:n.width}:{},...n.height!==void 0?{height:n.height}:{}}:s}),this.stack=dR(this.markDef,u),this.specifiedScales=this.initScales(l,u),this.specifiedAxes=this.initAxes(u),this.specifiedLegends=this.initLegends(u),this.specifiedProjection=n.projection,this.selection=(n.params??[]).filter(c=>Rx(c)),this.alignStackOrderWithColorDomain()}get hasProjection(){const{encoding:n}=this,i=this.mark===sN,r=n&&Afe.some(s=>Le(n[s]));return i||r}scaleDomain(n){const i=this.specifiedScales[n];return i?i.domain:void 0}axis(n){return this.specifiedAxes[n]}legend(n){return this.specifiedLegends[n]}initScales(n,i){return P7.reduce((r,s)=>{const o=Yt(i[s]);return o&&(r[s]=this.initScale(o.scale??{})),r},{})}initScale(n){const{domain:i,range:r}=n,s=hn(n);return G(i)&&(s.domain=i.map(Ei)),G(r)&&(s.range=r.map(Ei)),s}initAxes(n){return Ws.reduce((i,r)=>{const s=n[r];if(Le(s)||r===$t&&Le(n.x2)||r===tn&&Le(n.y2)){const o=Le(s)?s.axis:void 0;i[r]=o&&this.initAxis({...o})}return i},{})}initAxis(n){const i=X(n),r={};for(const s of i){const o=n[s];r[s]=Gd(o)?pD(o):Ei(o)}return r}initLegends(n){return zfe.reduce((i,r)=>{const s=Yt(n[r]);if(s&&jfe(r)){const o=s.legend;i[r]=o&&hn(o)}return i},{})}alignStackOrderWithColorDomain(){var m;const{color:n,fill:i,order:r,xOffset:s,yOffset:o}=this.encoding,a=i||n,l=J(a)?a:void 0,u=l==null?void 0:l.field,c=l==null?void 0:l.scale,f=l==null?void 0:l.type,d=c==null?void 0:c.domain,h=s||o,p=J(h)?h:void 0,g=`_${u}_sort_index`;if(!r&&Array.isArray(d)&&typeof u=="string"&&f==="nominal")if(p&&!p.sort)p.sort=d;else{if(!this.stack)return;const y=`indexof(${ee(d)}, datum['${u}'])`,b=((m=this.markDef)==null?void 0:m.orient)==="horizontal"?"ascending":"descending";this.transforms.push({calculate:y,as:g}),this.encoding.order={field:g,type:"quantitative",sort:b}}}parseData(){this.component.data=am(this)}parseLayoutSize(){Qme(this)}parseSelections(){this.component.selection=W0e(this,this.selection)}parseMarkGroup(){this.component.mark=N2e(this)}parseAxesAndHeaders(){this.component.axes=l2e(this)}assembleSelectionTopLevelSignals(n){return y0e(this,n)}assembleSignals(){return[..._O(this),...g0e(this,[])]}assembleSelectionData(n){return b0e(this,n)}assembleLayout(){return null}assembleLayoutSignals(){return hw(this)}assembleMarks(){let n=this.component.mark??[];return(!this.parent||!vc(this.parent))&&(n=qR(this,n)),n.map(this.correctDataNames)}assembleGroupStyle(){const{style:n}=this.view||{};return n!==void 0?n:this.encoding.x||this.encoding.y?"cell":"view"}getMapping(){return this.encoding}get mark(){return this.markDef.type}channelHasField(n){return pl(this.encoding,n)}fieldDef(n){const i=this.encoding[n];return $r(i)}typedFieldDef(n){const i=this.fieldDef(n);return Xn(i)?i:null}}class Lw extends Tw{constructor(n,i,r,s,o){super(n,"layer",i,r,o,n.resolve,n.view);U(this,"children");const a={...s,...n.width?{width:n.width}:{},...n.height?{height:n.height}:{}};this.children=n.layer.map((l,u)=>{if(L1(l))return new Lw(l,this,this.getName(`layer_${u}`),a,o);if(Ys(l))return new kL(l,this,this.getName(`layer_${u}`),a,o);throw new Error(q7(l))})}parseData(){this.component.data=am(this);for(const n of this.children)n.parseData()}parseLayoutSize(){Kme(this)}parseSelections(){this.component.selection={};for(const n of this.children){n.parseSelections();for(const i of X(n.component.selection))this.component.selection[i]=n.component.selection[i]}Bt(this.component.selection).some(n=>ps(n))&&Y7(H7)}parseMarkGroup(){for(const n of this.children)n.parseMarkGroup()}parseAxesAndHeaders(){c2e(this)}assembleSelectionTopLevelSignals(n){return this.children.reduce((i,r)=>r.assembleSelectionTopLevelSignals(i),n)}assembleSignals(){return this.children.reduce((n,i)=>n.concat(i.assembleSignals()),_O(this))}assembleLayoutSignals(){return this.children.reduce((n,i)=>n.concat(i.assembleLayoutSignals()),hw(this))}assembleSelectionData(n){return this.children.reduce((i,r)=>r.assembleSelectionData(i),n)}assembleGroupStyle(){const n=new Set;for(const r of this.children)for(const s of se(r.assembleGroupStyle()))n.add(s);const i=Array.from(n);return i.length>1?i:i.length===1?i[0]:void 0}assembleTitle(){let n=super.assembleTitle();if(n)return n;for(const i of this.children)if(n=i.assembleTitle(),n)return n}assembleLayout(){return null}assembleMarks(){return v0e(this,this.children.flatMap(n=>n.assembleMarks()))}assembleLegends(){return this.children.reduce((n,i)=>n.concat(i.assembleLegends()),qO(this))}}function Iw(e,t,n,i,r){if(w1(e))return new th(e,t,n,r);if(L1(e))return new Lw(e,t,n,i,r);if(Ys(e))return new kL(e,t,n,i,r);if(ege(e))return new r2e(e,t,n,r);throw new Error(q7(e))}function B2e(e,t={}){t.logger&&uhe(t.logger),t.fieldTitle&&AN(t.fieldTitle);try{const n=cR(zl(t.config,e.config)),i=CR(e,n),r=Iw(i,null,"",void 0,n);return r.parse(),fme(r.component.data,r),{spec:U2e(r,j2e(e,i.autosize,n,r),e.datasets,e.usermeta),normalized:i}}finally{t.logger&&che(),t.fieldTitle&&kpe()}}function j2e(e,t,n,i){const r=i.component.layoutSize.get("width"),s=i.component.layoutSize.get("height");if(t===void 0?(t={type:"pad"},i.hasAxisOrientSignalRef()&&(t.resize=!0)):re(t)&&(t={type:t}),r&&s&&s0e(t.type)){if(r==="step"&&s==="step")K($D()),t.type="pad";else if(r==="step"||s==="step"){const o=r==="step"?"width":"height";K($D(l1(o)));const a=o==="width"?"height":"width";t.type=o0e(a)}}return{...X(t).length===1&&t.type?t.type==="pad"?{}:{autosize:t.type}:{autosize:t},...FR(n,!1),...FR(e,!0)}}function U2e(e,t,n={},i){const r=e.config?dge(e.config):void 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a/metaflow/plugins/cards/ui/src/components/dag/dag.svelte +++ b/metaflow/plugins/cards/ui/src/components/dag/dag.svelte @@ -11,7 +11,7 @@ export let componentData: DagComponent; - const { data: steps } = componentData; + const { steps, start_step: startStep, end_step: endStep } = componentData.data; let el: HTMLElement; let dagStructure: DagStructure = {}; @@ -42,8 +42,14 @@ style="position: relative; line-height: 1" data-component="dag" > - {#if steps?.start} - + {#if startStep && steps?.[startStep]} + {:else}

No start step

{/if} diff --git a/metaflow/plugins/cards/ui/src/components/dag/step-wrapper.svelte b/metaflow/plugins/cards/ui/src/components/dag/step-wrapper.svelte index 3f4f2d800dc..9f62ef47744 100644 --- a/metaflow/plugins/cards/ui/src/components/dag/step-wrapper.svelte +++ b/metaflow/plugins/cards/ui/src/components/dag/step-wrapper.svelte @@ -6,6 +6,8 @@ export let steps: Dag; export let stepName: string; + export let startStep: string; + export let endStep: string | null = null; export let levels = 0; export let joins: string[] = [] export let pathToStep: string = ""; @@ -40,8 +42,8 @@ connections.push(fromJoins) } } else { - if (nextStep === 'end') { - connections.push("end"); + if (endStep && nextStep === endStep) { + connections.push(endStep); } else { if (nextStep === stepName) { connections.push(fullStepPath) @@ -63,7 +65,7 @@ onMount(registerNode); let hasNext = currentStep?.next?.find((nextStepName) => { - return steps[nextStepName]?.type !== "join" && nextStepName !== 'end'; + return steps[nextStepName]?.type !== "join" && nextStepName !== endStep; }); // For a static analysis, increase the level for a foreach and decrease it for a join @@ -91,10 +93,12 @@ {#each currentStep.next as nextStepName} {#if nextStepName === stepName} - {:else if steps[nextStepName].type !== 'join' && nextStepName !== 'end'} + {:else if nextStepName !== endStep && steps[nextStepName]?.type !== 'join'} - + {/if} - {#if stepName === 'start'} + {#if endStep && endStep !== startStep && stepName === startStep}
- + {/if}
{/if} diff --git a/metaflow/plugins/cards/ui/src/types.ts b/metaflow/plugins/cards/ui/src/types.ts index 95828a1ab8b..241dd987ea5 100644 --- a/metaflow/plugins/cards/ui/src/types.ts +++ b/metaflow/plugins/cards/ui/src/types.ts @@ -54,6 +54,12 @@ export type PathSpecObject = { export type Dag = Record; +export interface DagData { + steps: Dag; + start_step: string | null; + end_step: string | null; +} + // TODO: add support for switch-split export type StepType = | "linear" @@ -187,7 +193,7 @@ export interface ArtifactsComponent { export interface DagComponent { type: "dag"; id?: string; - data: Dag; + data: DagData; } // handle stderr stdout strings diff --git a/metaflow/runtime.py b/metaflow/runtime.py index 2365892fca6..bbb1e2dd62e 100644 --- a/metaflow/runtime.py +++ b/metaflow/runtime.py @@ -238,7 +238,7 @@ def _format_input_paths(task_pathspec, attempt): if self._input_paths: return self._input_paths - if self._step_func.name == "start": + if self._step_func.name == self._flow._graph.start_step: from metaflow import Step flow_name, run_id, _, _ = self._spin_pathspec.split("/") @@ -514,6 +514,37 @@ def persist_constants(self, task_id=None): if not self._params_task.is_cloned: self._params_task.persist(self._flow) + # Register start/end step metadata on _parameters task so the + # client can determine graph endpoints without loading _graph_info. + # Only write for fresh runs -- cloned tasks carry the original's metadata. + try: + self._metadata.register_metadata( + self._run_id, + "_parameters", + self._params_task.task_id, + [ + MetaDatum( + field="start_step", + value=self._graph.start_step, + type="graph_structure", + tags=[], + ), + MetaDatum( + field="end_step", + value=self._graph.end_step, + type="graph_structure", + tags=[], + ), + ], + ) + except Exception: + self._logger( + "Warning: failed to register graph endpoint metadata. " + "The client will fall back to default step names.", + system_msg=True, + bad=True, + ) + self._is_cloned[self._params_task.path] = self._params_task.is_cloned def should_skip_clone_only_execution(self): @@ -767,9 +798,12 @@ def execute(self): self._active_tasks[0] = 0 else: if self._params_task: - self._queue_push("start", {"input_paths": [self._params_task.path]}) + self._queue_push( + self._graph.start_step, + {"input_paths": [self._params_task.path]}, + ) else: - self._queue_push("start", {}) + self._queue_push(self._graph.start_step, {}) progress_tstamp = time.time() with tempfile.NamedTemporaryFile(mode="w", encoding="utf-8") as config_file: @@ -938,8 +972,8 @@ def execute(self): deco.runtime_finished(exception) self._run_exit_hooks() - # assert that end was executed and it was successful - if ("end", (), ()) in self._finished: + # assert that the terminal step was executed and it was successful + if (self._graph.end_step, (), ()) in self._finished: if self._run_url: self._logger( "Done! See the run in the UI at %s" % self._run_url, @@ -956,7 +990,8 @@ def execute(self): self._params_task.mark_resume_done() else: raise MetaflowInternalError( - "The *end* step was not successful by the end of flow." + "The terminal step *%s* was not successful by the end of flow." + % self._graph.end_step ) def _run_exit_hooks(self): @@ -966,7 +1001,11 @@ def _run_exit_hooks(self): if not exit_hook_decos: return - successful = ("end", (), ()) in self._finished or self._clone_only + successful = ( + self._graph.end_step, + (), + (), + ) in self._finished or self._clone_only pathspec = f"{self._graph.name}/{self._run_id}" flow_file = self._environment.get_environment_info()["script"] diff --git a/metaflow/task.py b/metaflow/task.py index 6d53483ffa6..87a840f1840 100644 --- a/metaflow/task.py +++ b/metaflow/task.py @@ -330,7 +330,7 @@ def _init_foreach(self, step_name, join_type, inputs, split_index): # then used later to write the foreach-stack metadata for that task # case 1) - reset the stack - if step_name == "start": + if step_name == self.flow._graph.start_step: self.flow._foreach_stack = [] # case 2) - this is a join step diff --git a/metaflow/util.py b/metaflow/util.py index cb83bd998ef..8f310a63236 100644 --- a/metaflow/util.py +++ b/metaflow/util.py @@ -11,7 +11,6 @@ from itertools import takewhile from typing import Dict, Any, Tuple, Optional, List, Generator - try: # python2 unicode_type = unicode @@ -582,6 +581,8 @@ def to_pod(value): return [to_pod(v) for v in value] if isinstance(value, DeployTimeField): return value.print_representation + if callable(value): + return getattr(value, "__qualname__", str(value)) return str(value) diff --git a/test/core/tests/resume_recursive_switch.py b/test/core/tests/resume_recursive_switch.py index 2258b8a54ac..758b85481d0 100644 --- a/test/core/tests/resume_recursive_switch.py +++ b/test/core/tests/resume_recursive_switch.py @@ -40,7 +40,7 @@ def check_results(self, flow, checker): "origin-run-id" in start_task_metadata ), "The 'origin-run-id' should be present in a resumed run's metadata." - loop_steps_by_count = {s.data.count: s for s in loop_steps} + loop_steps_by_count = {step.data.count: step for step in loop_steps} task_5_metadata = loop_steps_by_count[5].metadata_dict assert ( diff --git a/test/core/tests/resume_recursive_switch_inside_foreach.py b/test/core/tests/resume_recursive_switch_inside_foreach.py index 2ff562fd020..8d105815992 100644 --- a/test/core/tests/resume_recursive_switch_inside_foreach.py +++ b/test/core/tests/resume_recursive_switch_inside_foreach.py @@ -56,7 +56,7 @@ def check_results(self, flow, checker): checker.assert_artifact("join", "results", expected) exit_steps = run["exit_item_loop"] - exit_steps_by_id = {s.data.item_id: s for s in exit_steps} + exit_steps_by_id = {step.data.item_id: step for step in exit_steps} assert_equals(3, len(list(exit_steps))) # Branch 'B' failed and was re-executed from the start of the branch. diff --git a/test/unit/graph_inference/__init__.py b/test/unit/graph_inference/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/test/unit/graph_inference/conftest.py b/test/unit/graph_inference/conftest.py new file mode 100644 index 00000000000..75c85ee8741 --- /dev/null +++ b/test/unit/graph_inference/conftest.py @@ -0,0 +1,88 @@ +import os +from importlib.util import module_from_spec, spec_from_file_location + +import pytest +from metaflow import Runner, Flow + +FLOWS_DIR = os.path.join(os.path.dirname(__file__), "flows") + + +def _load_flow_class(flow_file, flow_class_name): + """Import a FlowSpec subclass from a file in FLOWS_DIR. + + Loads the module by file path so FLOWS_DIR is not added to sys.path. + Used by fixtures that need to pass `flow=` to a Card constructor; + `DefaultCardJSON` does `getattr(self.flow, step_name)` and + `inspect.getsource(...)` to build the Task Code panel and crashes if + `flow` is None. + """ + spec = spec_from_file_location(flow_class_name, os.path.join(FLOWS_DIR, flow_file)) + module = module_from_spec(spec) + assert spec.loader is not None + spec.loader.exec_module(module) + return getattr(module, flow_class_name) + + +def create_flow_fixture(flow_name, flow_file): + """Factory function to create flow fixtures.""" + + def flow_fixture(request): + if request.config.getoption("--use-latest", default=False): + flow = Flow(flow_name, _namespace_check=False) + return flow.latest_run + else: + flow_path = os.path.join(FLOWS_DIR, flow_file) + with Runner(flow_path, cwd=FLOWS_DIR).run() as running: + return running.run + + return flow_fixture + + +custom_named_run = pytest.fixture(scope="session")( + create_flow_fixture("CustomNamedFlow", "custom_named_flow.py") +) + +single_step_run = pytest.fixture(scope="session")( + create_flow_fixture("SingleStepFlow", "single_step_flow.py") +) + +custom_branch_run = pytest.fixture(scope="session")( + create_flow_fixture("CustomBranchFlow", "custom_branch_flow.py") +) + +custom_named_card_run = pytest.fixture(scope="session")( + create_flow_fixture("CustomNamedCardFlow", "custom_named_card_flow.py") +) + +single_step_with_config_run = pytest.fixture(scope="session")( + create_flow_fixture("SingleStepWithConfigFlow", "single_step_with_config_flow.py") +) + +single_step_with_stacked_decos_run = pytest.fixture(scope="session")( + create_flow_fixture( + "SingleStepWithStackedDecosFlow", + "single_step_with_stacked_decos_flow.py", + ) +) + +single_step_with_flow_mutator_run = pytest.fixture(scope="session")( + create_flow_fixture( + "SingleStepWithFlowMutatorFlow", + "single_step_with_flow_mutator_flow.py", + ) +) + +single_step_bare_run = pytest.fixture(scope="session")( + create_flow_fixture( + "SingleStepBareFlow", + "single_step_bare_flow.py", + ) +) + + +@pytest.fixture(scope="session") +def custom_named_card_flow(): + """Instance of CustomNamedCardFlow for tests that pass flow= to a Card.""" + return _load_flow_class("custom_named_card_flow.py", "CustomNamedCardFlow")( + use_cli=False + ) diff --git a/test/unit/graph_inference/flows/__init__.py b/test/unit/graph_inference/flows/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/test/unit/graph_inference/flows/custom_branch_flow.py b/test/unit/graph_inference/flows/custom_branch_flow.py new file mode 100644 index 00000000000..048cb738a51 --- /dev/null +++ b/test/unit/graph_inference/flows/custom_branch_flow.py @@ -0,0 +1,32 @@ +from metaflow import FlowSpec, step + + +class CustomBranchFlow(FlowSpec): + """Flow with branches and custom step names.""" + + @step(start=True) + def entry(self): + self.next(self.a, self.b) + + @step + def a(self): + self.val = "a" + self.next(self.merge) + + @step + def b(self): + self.val = "b" + self.next(self.merge) + + @step + def merge(self, inputs): + self.vals = sorted([i.val for i in inputs]) + self.next(self.done) + + @step(end=True) + def done(self): + pass + + +if __name__ == "__main__": + CustomBranchFlow() diff --git a/test/unit/graph_inference/flows/custom_named_card_flow.py b/test/unit/graph_inference/flows/custom_named_card_flow.py new file mode 100644 index 00000000000..e9ae32eb83a --- /dev/null +++ b/test/unit/graph_inference/flows/custom_named_card_flow.py @@ -0,0 +1,24 @@ +from metaflow import FlowSpec, card, current, step +from metaflow.cards import Markdown + + +class CustomNamedCardFlow(FlowSpec): + @card + @step(start=True) + def begin(self): + current.card.append(Markdown("# Custom graph")) + self.value = 1 + self.next(self.middle) + + @step + def middle(self): + self.value += 1 + self.next(self.finish) + + @step(end=True) + def finish(self): + self.value += 1 + + +if __name__ == "__main__": + CustomNamedCardFlow() diff --git a/test/unit/graph_inference/flows/custom_named_flow.py b/test/unit/graph_inference/flows/custom_named_flow.py new file mode 100644 index 00000000000..82c88e984f6 --- /dev/null +++ b/test/unit/graph_inference/flows/custom_named_flow.py @@ -0,0 +1,23 @@ +from metaflow import FlowSpec, step + + +class CustomNamedFlow(FlowSpec): + """Flow with non-standard step names to test structural inference.""" + + @step(start=True) + def begin(self): + self.x = 1 + self.next(self.middle) + + @step + def middle(self): + self.x += 1 + self.next(self.finish) + + @step(end=True) + def finish(self): + self.x += 1 + + +if __name__ == "__main__": + CustomNamedFlow() diff --git a/test/unit/graph_inference/flows/single_step_bare_flow.py b/test/unit/graph_inference/flows/single_step_bare_flow.py new file mode 100644 index 00000000000..af42635a3c7 --- /dev/null +++ b/test/unit/graph_inference/flows/single_step_bare_flow.py @@ -0,0 +1,18 @@ +from metaflow import FlowSpec, step + + +class SingleStepBareFlow(FlowSpec): + """Single-step flow with a bare @step (no start/end kwargs). + + Verifies that _identify_start_end implicitly treats the only user step + as both start and end, so the trivial single-step case does not require + @step(start=True, end=True). + """ + + @step + def only(self): + self.x = 42 + + +if __name__ == "__main__": + SingleStepBareFlow() diff --git a/test/unit/graph_inference/flows/single_step_flow.py b/test/unit/graph_inference/flows/single_step_flow.py new file mode 100644 index 00000000000..ec4483cb204 --- /dev/null +++ b/test/unit/graph_inference/flows/single_step_flow.py @@ -0,0 +1,13 @@ +from metaflow import FlowSpec, step + + +class SingleStepFlow(FlowSpec): + """Flow with a single step to test start==end inference.""" + + @step(start=True, end=True) + def only(self): + self.x = 42 + + +if __name__ == "__main__": + SingleStepFlow() diff --git a/test/unit/graph_inference/flows/single_step_with_config_flow.py b/test/unit/graph_inference/flows/single_step_with_config_flow.py new file mode 100644 index 00000000000..a8b92683126 --- /dev/null +++ b/test/unit/graph_inference/flows/single_step_with_config_flow.py @@ -0,0 +1,15 @@ +from metaflow import FlowSpec, step, Config + + +class SingleStepWithConfigFlow(FlowSpec): + """Single-step flow wired to a Config, verifies Configs resolve end-to-end.""" + + cfg = Config("cfg", default_value={"x": 7}) + + @step(start=True, end=True) + def only(self): + self.v = self.cfg["x"] + + +if __name__ == "__main__": + SingleStepWithConfigFlow() diff --git a/test/unit/graph_inference/flows/single_step_with_flow_mutator_flow.py b/test/unit/graph_inference/flows/single_step_with_flow_mutator_flow.py new file mode 100644 index 00000000000..344a88a5ac3 --- /dev/null +++ b/test/unit/graph_inference/flows/single_step_with_flow_mutator_flow.py @@ -0,0 +1,22 @@ +from metaflow import FlowSpec, step, retry, FlowMutator + + +class AddRetryToOnly(FlowMutator): + """Adds @retry to every step. Verifies mutators reach the sole step.""" + + def pre_mutate(self, mutable_flow): + for _, s in mutable_flow.steps: + s.add_decorator(retry, deco_kwargs={"times": 1}) + + +@AddRetryToOnly +class SingleStepWithFlowMutatorFlow(FlowSpec): + """Single-step flow with a FlowMutator applied at the class level.""" + + @step(start=True, end=True) + def only(self): + self.v = 1 + + +if __name__ == "__main__": + SingleStepWithFlowMutatorFlow() diff --git a/test/unit/graph_inference/flows/single_step_with_stacked_decos_flow.py b/test/unit/graph_inference/flows/single_step_with_stacked_decos_flow.py new file mode 100644 index 00000000000..49c0b473f4e --- /dev/null +++ b/test/unit/graph_inference/flows/single_step_with_stacked_decos_flow.py @@ -0,0 +1,15 @@ +from metaflow import FlowSpec, step, retry, resources + + +class SingleStepWithStackedDecosFlow(FlowSpec): + """Single-step flow with @retry and @resources stacked on top of @step.""" + + @retry(times=1) + @resources(cpu=1, memory=256) + @step(start=True, end=True) + def only(self): + self.v = 42 + + +if __name__ == "__main__": + SingleStepWithStackedDecosFlow() diff --git a/test/unit/graph_inference/test_card_dag.py b/test/unit/graph_inference/test_card_dag.py new file mode 100644 index 00000000000..bdce054c24c --- /dev/null +++ b/test/unit/graph_inference/test_card_dag.py @@ -0,0 +1,95 @@ +""" +Tests for the cards' DAG-related graph data layer. + +Covers: +- `transform_flow_graph` - the function that normalizes the legacy + flat-step-dict and the new `{steps, start_step, end_step}` shapes + into the structure the DAG card component renders against. +- The end-to-end render path: a Run with custom-named entry/terminal + steps produces a DAG card whose `start_step` / `end_step` / + `steps` reflect the user's actual step names rather than the + legacy hardcoded "start" / "end". +""" + +import json + +from metaflow.plugins.cards.card_modules.basic import ( + DefaultCardJSON, + transform_flow_graph, +) + + +def _find_components_by_type(node, component_type): + if isinstance(node, dict): + if node.get("type") == component_type: + yield node + for value in node.values(): + yield from _find_components_by_type(value, component_type) + elif isinstance(node, list): + for item in node: + yield from _find_components_by_type(item, component_type) + + +# --------------------------------------------------------------------------- +# transform_flow_graph: shape-detection unit tests +# --------------------------------------------------------------------------- + + +def test_transform_flow_graph_supports_explicit_endpoints(): + graph = { + "start_step": "begin", + "end_step": "finish", + "steps": { + "begin": {"type": "start", "next": ["middle"], "doc": "begin"}, + "middle": {"type": "linear", "next": ["finish"], "doc": "middle"}, + "finish": {"type": "end", "next": [], "doc": "finish"}, + }, + } + + transformed = transform_flow_graph(graph) + + assert transformed["start_step"] == "begin" + assert transformed["end_step"] == "finish" + assert set(transformed["steps"]) == {"begin", "middle", "finish"} + assert transformed["steps"]["begin"]["type"] == "start" + assert transformed["steps"]["middle"]["box_next"] is False + assert transformed["steps"]["finish"]["type"] == "end" + + +def test_transform_flow_graph_keeps_legacy_start_end_detection(): + graph = { + "start": {"type": "start", "next": ["end"], "doc": ""}, + "end": {"type": "end", "next": [], "doc": ""}, + } + + transformed = transform_flow_graph(graph) + + assert transformed["start_step"] == "start" + assert transformed["end_step"] == "end" + assert set(transformed["steps"]) == {"start", "end"} + + +# --------------------------------------------------------------------------- +# DefaultCardJSON: end-to-end render with custom-named endpoints +# --------------------------------------------------------------------------- + + +def test_default_card_includes_custom_graph_endpoints( + custom_named_card_run, custom_named_card_flow +): + graph = custom_named_card_run["_parameters"].task["_graph_info"].data + card_data = json.loads( + DefaultCardJSON(graph=graph, flow=custom_named_card_flow).render( + custom_named_card_run["begin"].task + ) + ) + + dag_components = list(_find_components_by_type(card_data["components"], "dag")) + assert len(dag_components) == 1 + + dag_data = dag_components[0]["data"] + assert dag_data["start_step"] == "begin" + assert dag_data["end_step"] == "finish" + assert set(dag_data["steps"]) == {"begin", "middle", "finish"} + assert "start" not in dag_data["steps"] + assert "end" not in dag_data["steps"] diff --git a/test/unit/graph_inference/test_graph_inference.py b/test/unit/graph_inference/test_graph_inference.py new file mode 100644 index 00000000000..f68d6833bfb --- /dev/null +++ b/test/unit/graph_inference/test_graph_inference.py @@ -0,0 +1,244 @@ +""" +Integration tests for structural inference of start/end steps. + +These tests actually execute flows with non-standard step names and verify: +- Flows run to completion +- _graph_info contains start_step/end_step +- _parameters metadata contains start_step/end_step +- Client APIs (end_task, parent_steps, child_steps) work correctly +- Single-step flows execute end-to-end +""" + +from metaflow.events import Trigger + + +# --------------------------------------------------------------------------- +# Custom named flow (begin/middle/finish) +# --------------------------------------------------------------------------- + + +def test_custom_named_flow_completes(custom_named_run): + assert custom_named_run.successful + assert custom_named_run.finished + + +def test_custom_named_graph_info_has_endpoints(custom_named_run): + graph_info = custom_named_run["_parameters"].task["_graph_info"].data + assert graph_info["start_step"] == "begin" + assert graph_info["end_step"] == "finish" + + +def test_custom_named_parameters_metadata_has_endpoints(custom_named_run): + meta = custom_named_run["_parameters"].task.metadata_dict + assert meta.get("start_step") == "begin" + assert meta.get("end_step") == "finish" + + +def test_custom_named_graph_endpoints_property(custom_named_run): + start, end = custom_named_run._graph_endpoints + assert start == "begin" + assert end == "finish" + + +def test_custom_named_end_task(custom_named_run): + end_task = custom_named_run.end_task + assert end_task is not None + assert end_task["x"].data == 3 + + +def test_custom_named_steps_present(custom_named_run): + step_names = {step.id for step in custom_named_run} + assert step_names == {"begin", "middle", "finish"} + + +def test_custom_named_parent_steps(custom_named_run): + assert list(custom_named_run["begin"].parent_steps) == [] + assert [step.id for step in custom_named_run["middle"].parent_steps] == ["begin"] + assert [step.id for step in custom_named_run["finish"].parent_steps] == ["middle"] + + +def test_custom_named_child_steps(custom_named_run): + assert [step.id for step in custom_named_run["begin"].child_steps] == ["middle"] + assert [step.id for step in custom_named_run["middle"].child_steps] == ["finish"] + assert list(custom_named_run["finish"].child_steps) == [] + + +# --------------------------------------------------------------------------- +# Single-step flow (start == end) +# --------------------------------------------------------------------------- + + +def test_single_step_flow_completes(single_step_run): + assert single_step_run.successful + assert single_step_run.finished + + +def test_single_step_graph_info_start_equals_end(single_step_run): + graph_info = single_step_run["_parameters"].task["_graph_info"].data + assert graph_info["start_step"] == "only" + assert graph_info["end_step"] == "only" + assert graph_info["start_step"] == graph_info["end_step"] + + +def test_single_step_parameters_metadata(single_step_run): + meta = single_step_run["_parameters"].task.metadata_dict + assert meta.get("start_step") == "only" + assert meta.get("end_step") == "only" + + +def test_single_step_end_task(single_step_run): + end_task = single_step_run.end_task + assert end_task is not None + assert end_task["x"].data == 42 + + +def test_single_step_present(single_step_run): + assert {step.id for step in single_step_run} == {"only"} + + +def test_single_step_parent_child_empty(single_step_run): + assert list(single_step_run["only"].parent_steps) == [] + assert list(single_step_run["only"].child_steps) == [] + + +# --------------------------------------------------------------------------- +# Single-step flow with bare @step (implicit start == end) +# --------------------------------------------------------------------------- + + +def test_single_step_bare_flow_completes(single_step_bare_run): + assert single_step_bare_run.successful + assert single_step_bare_run.finished + + +def test_single_step_bare_graph_info_start_equals_end(single_step_bare_run): + graph_info = single_step_bare_run["_parameters"].task["_graph_info"].data + assert graph_info["start_step"] == "only" + assert graph_info["end_step"] == "only" + + +def test_single_step_bare_parameters_metadata(single_step_bare_run): + meta = single_step_bare_run["_parameters"].task.metadata_dict + assert meta.get("start_step") == "only" + assert meta.get("end_step") == "only" + + +def test_single_step_bare_end_task(single_step_bare_run): + end_task = single_step_bare_run.end_task + assert end_task is not None + assert end_task["x"].data == 42 + + +def test_single_step_bare_step_present(single_step_bare_run): + assert {step.id for step in single_step_bare_run} == {"only"} + + +def test_single_step_bare_parent_child_empty(single_step_bare_run): + assert list(single_step_bare_run["only"].parent_steps) == [] + assert list(single_step_bare_run["only"].child_steps) == [] + + +# --------------------------------------------------------------------------- +# Custom branch flow (entry/a/b/merge/done) +# --------------------------------------------------------------------------- + + +def test_branch_flow_completes(custom_branch_run): + assert custom_branch_run.successful + assert custom_branch_run.finished + + +def test_branch_graph_info_endpoints(custom_branch_run): + graph_info = custom_branch_run["_parameters"].task["_graph_info"].data + assert graph_info["start_step"] == "entry" + assert graph_info["end_step"] == "done" + + +def test_branch_end_task(custom_branch_run): + assert custom_branch_run.end_task is not None + + +def test_branch_merge_data(custom_branch_run): + merge_task = custom_branch_run["merge"].task + assert sorted(merge_task["vals"].data) == ["a", "b"] + + +def test_branch_steps_present(custom_branch_run): + assert {step.id for step in custom_branch_run} == { + "entry", + "a", + "b", + "merge", + "done", + } + + +def test_branch_entry_has_two_children(custom_branch_run): + children = [step.id for step in custom_branch_run["entry"].child_steps] + assert sorted(children) == ["a", "b"] + + +def test_branch_merge_has_two_parents(custom_branch_run): + parents = [step.id for step in custom_branch_run["merge"].parent_steps] + assert sorted(parents) == ["a", "b"] + + +# --------------------------------------------------------------------------- +# Trigger integration +# --------------------------------------------------------------------------- + + +def test_trigger_from_runs_uses_custom_terminal_step(custom_named_run): + trigger = Trigger.from_runs([custom_named_run]) + + assert trigger.event is not None + assert trigger.event.name == "metaflow.%s.finish" % custom_named_run.parent.id + assert trigger.event.id == custom_named_run.end_task.pathspec + assert trigger.run.pathspec == custom_named_run.pathspec + + +# --------------------------------------------------------------------------- +# Composition: single-step flows with Config, stacked decorators, FlowMutator +# --------------------------------------------------------------------------- + + +def test_single_step_with_config_completes(single_step_with_config_run): + """Config-bearing single-step flow runs to completion.""" + assert single_step_with_config_run.successful + assert single_step_with_config_run.finished + + +def test_single_step_with_config_value_flows_to_artifact(single_step_with_config_run): + """Config descriptor value is readable from the end task's artifact.""" + end_task = single_step_with_config_run.end_task + assert end_task["v"].data == 7 + + +def test_single_step_with_stacked_decos_completes(single_step_with_stacked_decos_run): + """Single-step flow with stacked @retry/@resources runs end-to-end.""" + assert single_step_with_stacked_decos_run.successful + assert single_step_with_stacked_decos_run.finished + + +def test_single_step_with_stacked_decos_graph_info(single_step_with_stacked_decos_run): + """_graph_info records all stacked decorators on the only step.""" + graph_info = ( + single_step_with_stacked_decos_run["_parameters"].task["_graph_info"].data + ) + names = {deco["name"] for deco in graph_info["steps"]["only"]["decorators"]} + assert {"retry", "resources"}.issubset(names) + + +def test_single_step_with_flow_mutator_completes(single_step_with_flow_mutator_run): + """FlowMutator-decorated single-step flow runs end-to-end.""" + assert single_step_with_flow_mutator_run.successful + assert single_step_with_flow_mutator_run.finished + + +def test_single_step_with_flow_mutator_applied(single_step_with_flow_mutator_run): + """FlowMutator.add_decorator landed @retry on the only step.""" + graph_info = ( + single_step_with_flow_mutator_run["_parameters"].task["_graph_info"].data + ) + names = {deco["name"] for deco in graph_info["steps"]["only"]["decorators"]} + assert "retry" in names diff --git a/test/unit/localbatch/test_localbatch.py b/test/unit/localbatch/test_localbatch.py index 12bdfdc2147..de726a06b87 100644 --- a/test/unit/localbatch/test_localbatch.py +++ b/test/unit/localbatch/test_localbatch.py @@ -373,5 +373,5 @@ def test_run_succeeds(self, simple_batch_run): @_NEEDS_CORE_BATCH_PARAMS def test_all_steps_have_tasks(self, simple_batch_run): - step_names = {s.id for s in simple_batch_run.steps()} + step_names = {step.id for step in simple_batch_run.steps()} assert {"start", "end"} <= step_names diff --git a/test/unit/test_graph_endpoints_fallback.py b/test/unit/test_graph_endpoints_fallback.py new file mode 100644 index 00000000000..c067839d79d --- /dev/null +++ b/test/unit/test_graph_endpoints_fallback.py @@ -0,0 +1,62 @@ +"""Tests for Run._graph_endpoints fallback and caching behavior. + +The happy path (custom-named steps producing the right endpoints) is +covered by the integration tests in test/ux/core/test_basic.py +(test_custom_step_names, test_single_step_flow, test_custom_branch_flow). +This file pins the smaller, harder-to-reach behaviors: + +- empty / missing metadata returns the legacy ("start", "end") fallback +- transient errors do NOT cache (so a retry can succeed) +- MetaflowNotFound (old run) DOES cache (no point retrying forever) +""" + +import pytest + +from metaflow.client.core import Run +from metaflow.exception import MetaflowNotFound + + +@pytest.fixture +def run(): + """Bare Run instance, Run.__init__ skipped to avoid metadata service I/O.""" + return Run.__new__(Run) + + +def _params_step(mocker, metadata): + """Stand-in for run["_parameters"] with a controlled metadata_dict.""" + params = mocker.MagicMock() + params.task.metadata_dict = metadata + return params + + +def test_missing_metadata_falls_back_to_literals(run, mocker): + """Empty metadata returns ('start', 'end').""" + mocker.patch.object(Run, "__getitem__", return_value=_params_step(mocker, {})) + assert run._graph_endpoints == ("start", "end") + + +def test_metaflow_not_found_caches_fallback(run, mocker): + """MetaflowNotFound (old run, no _parameters) caches the fallback.""" + mocker.patch.object(Run, "__getitem__", side_effect=MetaflowNotFound("_parameters")) + assert run._graph_endpoints == ("start", "end") + assert run._cached_endpoints == ("start", "end") + + +def test_transient_error_not_cached(run, mocker): + """A transient exception returns the fallback but does NOT cache it.""" + mocker.patch.object( + Run, + "__getitem__", + side_effect=[ + RuntimeError("transient (e.g., metadata service down)"), + _params_step(mocker, {"start_step": "begin", "end_step": "finish"}), + ], + ) + + # First call: transient error, fallback returned, not cached. + assert run._graph_endpoints == ("start", "end") + assert not hasattr(run, "_cached_endpoints") + + # Second call: succeeds, caches. + assert run._graph_endpoints == ("begin", "finish") + assert run._cached_endpoints == ("begin", "finish") diff --git a/test/unit/test_graph_structure.py b/test/unit/test_graph_structure.py new file mode 100644 index 00000000000..b2e48a37c4e --- /dev/null +++ b/test/unit/test_graph_structure.py @@ -0,0 +1,650 @@ +""" +Tests for structural inference of start/end steps in FlowGraph. + +Verifies that: +- Start step is determined by zero in-edges, end step by zero out-edges +- Steps can have any name (not just "start"/"end") +- Single-step flows are supported (start == end) +- Node types are assigned correctly based on structure +- _graph_info contains start_step/end_step fields +- Lint validation works with structural inference +- @step(start=True) / @step(end=True) annotations work correctly +""" + +import pytest +from metaflow import Config, FlowMutator, FlowSpec, step, Parameter, retry, resources +from metaflow.flowspec import FlowStateItems +from metaflow.lint import linter, LintWarn + +# --------------------------------------------------------------------------- +# Flow definitions for testing +# --------------------------------------------------------------------------- + + +class StandardFlow(FlowSpec): + @step + def start(self): + self.x = 1 + self.next(self.end) + + @step + def end(self): + pass + + +class CustomNamedLinearFlow(FlowSpec): + @step(start=True) + def begin(self): + self.x = 1 + self.next(self.middle) + + @step + def middle(self): + self.x += 1 + self.next(self.finish) + + @step(end=True) + def finish(self): + pass + + +class SingleStepFlow(FlowSpec): + @step(start=True, end=True) + def only(self): + self.x = 42 + + +class CustomNamedBranchFlow(FlowSpec): + @step(start=True) + def entry(self): + self.next(self.a, self.b) + + @step + def a(self): + self.next(self.merge) + + @step + def b(self): + self.next(self.merge) + + @step + def merge(self, inputs): + self.next(self.done) + + @step(end=True) + def done(self): + pass + + +class CustomNamedForeachFlow(FlowSpec): + @step(start=True) + def init(self): + self.items = [1, 2, 3] + self.next(self.process, foreach="items") + + @step + def process(self): + self.result = self.input * 2 + self.next(self.collect) + + @step + def collect(self, inputs): + self.results = [i.result for i in inputs] + self.next(self.final) + + @step(end=True) + def final(self): + pass + + +class SplitStartFlow(FlowSpec): + """Start step that is also a split.""" + + @step(start=True) + def origin(self): + self.next(self.left, self.right) + + @step + def left(self): + self.next(self.rejoin) + + @step + def right(self): + self.next(self.rejoin) + + @step + def rejoin(self, inputs): + self.next(self.terminus) + + @step(end=True) + def terminus(self): + pass + + +# --------------------------------------------------------------------------- +# Flow classes: single-step flows composed with configs, decorators, mutators +# --------------------------------------------------------------------------- + + +class _SingleStepWithConfig(FlowSpec): + """Single-step flow with a Config descriptor.""" + + cfg = Config("cfg", default_value={"x": 7}) + + @step(start=True, end=True) + def only(self): + self.v = self.cfg["x"] + + +class _SingleStepWithStackedDecos(FlowSpec): + """Single-step flow with multiple step decorators stacked.""" + + @retry(times=3) + @resources(cpu=2, memory=1024) + @step(start=True, end=True) + def only(self): + self.v = 1 + + +class _AddRetryMutator(FlowMutator): + """Adds @retry to every step. Used to verify mutators reach a single-step flow.""" + + def pre_mutate(self, mutable_flow): + for _, s in mutable_flow.steps: + s.add_decorator(retry, deco_kwargs={"times": 1}) + + +@_AddRetryMutator +class _SingleStepWithFlowMutator(FlowSpec): + """Single-step flow with a FlowMutator applied at the class level.""" + + @step(start=True, end=True) + def only(self): + pass + + +# --------------------------------------------------------------------------- +# Fixtures +# --------------------------------------------------------------------------- + + +@pytest.fixture( + params=[ + (StandardFlow, "start", "end"), + (CustomNamedLinearFlow, "begin", "finish"), + (SingleStepFlow, "only", "only"), + (CustomNamedBranchFlow, "entry", "done"), + (CustomNamedForeachFlow, "init", "final"), + (SplitStartFlow, "origin", "terminus"), + ], + ids=[ + "standard", + "custom_linear", + "single_step", + "branch", + "foreach", + "split_start", + ], +) +def flow_with_endpoints(request): + """Yields (flow_class, expected_start, expected_end) for each topology.""" + return request.param + + +# --------------------------------------------------------------------------- +# Tests: Structural inference +# --------------------------------------------------------------------------- + + +def test_start_end_inference(flow_with_endpoints): + flow_cls, expected_start, expected_end = flow_with_endpoints + graph = flow_cls._graph + assert graph.start_step == expected_start + assert graph.end_step == expected_end + + +# --------------------------------------------------------------------------- +# Tests: Node types +# --------------------------------------------------------------------------- + + +def test_standard_flow_types(): + graph = StandardFlow._graph + assert graph["start"].type == "start" + assert graph["end"].type == "end" + + +def test_custom_linear_types(): + graph = CustomNamedLinearFlow._graph + assert graph["begin"].type == "start" + assert graph["middle"].type == "linear" + assert graph["finish"].type == "end" + + +def test_single_step_type_is_end(): + """Single-step flow: type is 'end' since it's terminal.""" + graph = SingleStepFlow._graph + assert graph["only"].type == "end" + + +def test_branch_entry_is_split(): + """Entry step that splits should keep 'split' type, not be overridden to 'start'.""" + graph = CustomNamedBranchFlow._graph + assert graph["entry"].type == "split" + assert graph["merge"].type == "join" + assert graph["done"].type == "end" + + +def test_split_start_keeps_split_type(): + """Start step that is also a split must keep 'split' type for lint balance.""" + graph = SplitStartFlow._graph + assert graph["origin"].type == "split" + + +def test_foreach_entry_keeps_foreach_type(): + graph = CustomNamedForeachFlow._graph + assert graph["init"].type == "foreach" + assert graph["collect"].type == "join" + assert graph["final"].type == "end" + + +def test_custom_flow_in_funcs_out_funcs(): + graph = CustomNamedLinearFlow._graph + assert graph["begin"].in_funcs == [] + assert graph["begin"].out_funcs == ["middle"] + assert graph["finish"].in_funcs == ["middle"] + assert graph["finish"].out_funcs == [] + + +# --------------------------------------------------------------------------- +# Tests: output_steps / graph_structure +# --------------------------------------------------------------------------- + + +def test_standard_graph_structure(): + steps_info, graph_structure = StandardFlow._graph.output_steps() + assert graph_structure == ["start", "end"] + assert set(steps_info.keys()) == {"start", "end"} + + +def test_custom_linear_graph_structure(): + steps_info, graph_structure = CustomNamedLinearFlow._graph.output_steps() + assert graph_structure == ["begin", "middle", "finish"] + assert set(steps_info.keys()) == {"begin", "middle", "finish"} + + +def test_single_step_graph_structure(): + steps_info, graph_structure = SingleStepFlow._graph.output_steps() + assert graph_structure == ["only"] + assert set(steps_info.keys()) == {"only"} + + +def test_branch_graph_structure(): + steps_info, graph_structure = CustomNamedBranchFlow._graph.output_steps() + assert graph_structure[0] == "entry" + assert graph_structure[-1] == "done" + assert "merge" in graph_structure + assert set(steps_info.keys()) == {"entry", "a", "b", "merge", "done"} + + +def test_steps_info_types_match(): + """Steps info type should match the node_to_type mapping.""" + steps_info, _ = CustomNamedLinearFlow._graph.output_steps() + assert steps_info["begin"]["type"] == "start" + assert steps_info["middle"]["type"] == "linear" + assert steps_info["finish"]["type"] == "end" + + +def test_split_start_type_in_steps_info(): + """When start step is a split, steps_info should show split-static.""" + steps_info, _ = SplitStartFlow._graph.output_steps() + assert steps_info["origin"]["type"] == "split-static" + assert steps_info["terminus"]["type"] == "end" + + +def test_steps_info_has_next(): + steps_info, _ = CustomNamedLinearFlow._graph.output_steps() + assert steps_info["begin"]["next"] == ["middle"] + assert steps_info["middle"]["next"] == ["finish"] + assert steps_info["finish"]["next"] == [] + + +# --------------------------------------------------------------------------- +# Tests: Topological sort +# --------------------------------------------------------------------------- + + +def test_standard_sort(): + assert StandardFlow._graph.sorted_nodes == ["start", "end"] + + +def test_custom_linear_sort(): + assert CustomNamedLinearFlow._graph.sorted_nodes == ["begin", "middle", "finish"] + + +def test_single_step_sort(): + assert SingleStepFlow._graph.sorted_nodes == ["only"] + + +def test_branch_sort_order(): + """Start must come first, end must come last.""" + graph = CustomNamedBranchFlow._graph + assert graph.sorted_nodes[0] == "entry" + assert graph.sorted_nodes[-1] == "done" + + +# --------------------------------------------------------------------------- +# Tests: Lint validation +# --------------------------------------------------------------------------- + + +@pytest.mark.parametrize( + "flow_cls", + [ + StandardFlow, + CustomNamedLinearFlow, + SingleStepFlow, + CustomNamedBranchFlow, + CustomNamedForeachFlow, + SplitStartFlow, + ], + ids=[ + "standard", + "custom_linear", + "single_step", + "branch", + "foreach", + "split_start", + ], +) +def test_flow_passes_lint(flow_cls): + linter.run_checks(flow_cls._graph) + + +# --------------------------------------------------------------------------- +# Tests: node_info metadata +# --------------------------------------------------------------------------- + + +class _NodeInfoFlow(FlowSpec): + @step(start=True, node_info={"label": "entry point", "priority": 1}) + def begin(self): + self.next(self.end) + + @step(end=True) + def end(self): + pass + + +class _NestedNodeInfoFlow(FlowSpec): + @step(start=True, node_info={"tags": ["gpu", "heavy"], "config": {"timeout": 300}}) + def begin(self): + self.next(self.end) + + @step(end=True, node_info={}) + def end(self): + pass + + +def test_node_info_stored_on_dag_node(): + graph = _NodeInfoFlow._graph + assert graph["begin"].node_info == {"label": "entry point", "priority": 1} + + +def test_node_info_default_is_none_or_empty(): + graph = StandardFlow._graph + assert graph["start"].node_info is None or graph["start"].node_info == {} + + +def test_node_info_appears_in_output_steps(): + steps_info, _ = _NodeInfoFlow._graph.output_steps() + assert steps_info["begin"]["node_info"] == {"label": "entry point", "priority": 1} + + +def test_node_info_nested_dict(): + graph = _NestedNodeInfoFlow._graph + assert graph["begin"].node_info == { + "tags": ["gpu", "heavy"], + "config": {"timeout": 300}, + } + + +def test_node_info_nested_in_output_steps(): + steps_info, _ = _NestedNodeInfoFlow._graph.output_steps() + assert steps_info["begin"]["node_info"]["tags"] == ["gpu", "heavy"] + assert steps_info["begin"]["node_info"]["config"]["timeout"] == 300 + + +def test_node_info_empty_dict(): + graph = _NestedNodeInfoFlow._graph + assert graph["end"].node_info == {} + steps_info, _ = _NestedNodeInfoFlow._graph.output_steps() + assert steps_info["end"]["node_info"] == {} + + +def test_node_info_absent_step_in_output_steps(): + """Steps without node_info should have None or {} in output_steps.""" + steps_info, _ = _NodeInfoFlow._graph.output_steps() + end_info = steps_info["end"]["node_info"] + assert end_info is None or end_info == {} + + +# --------------------------------------------------------------------------- +# Tests: Annotation mechanics +# --------------------------------------------------------------------------- + + +def test_plain_step_has_no_annotations(): + """Plain @step sets is_start_step=False and is_end_step=False.""" + graph = StandardFlow._graph + assert graph["start"].is_start_step is False + assert graph["start"].is_end_step is False + assert graph["end"].is_start_step is False + assert graph["end"].is_end_step is False + + +def test_annotated_step_flags(): + """@step(start=True) and @step(end=True) set the flags on the node.""" + graph = CustomNamedLinearFlow._graph + assert graph["begin"].is_start_step is True + assert graph["begin"].is_end_step is False + assert graph["finish"].is_start_step is False + assert graph["finish"].is_end_step is True + assert graph["middle"].is_start_step is False + assert graph["middle"].is_end_step is False + + +def test_annotated_single_step(): + """@step(start=True, end=True) single-step flow works.""" + graph = SingleStepFlow._graph + assert graph["only"].is_start_step is True + assert graph["only"].is_end_step is True + assert graph.start_step == "only" + assert graph.end_step == "only" + + +def test_source_backed_single_step_with_next_still_fails_lint(): + """Source-backed @step(start=True, end=True) with self.next() still fails lint.""" + + class BadSingleStepFlow(FlowSpec): + @step(start=True, end=True) + def only(self): + self.next(self.only) + + with pytest.raises(LintWarn): + linter.run_checks(BadSingleStepFlow._graph) + + +def test_mixed_annotated_start_named_end(): + """Annotated start + name-based end fallback.""" + + class MixedFlow(FlowSpec): + @step(start=True) + def begin(self): + self.next(self.end) + + @step + def end(self): + pass + + graph = MixedFlow._graph + assert graph.start_step == "begin" + assert graph.end_step == "end" + assert graph["begin"].is_start_step is True + assert graph["end"].is_end_step is False + + +def test_backward_compat_name_based(): + """Flow with just 'start'/'end' names still works (no annotations).""" + graph = StandardFlow._graph + assert graph.start_step == "start" + assert graph.end_step == "end" + assert graph["start"].is_start_step is False + assert graph["end"].is_end_step is False + + +# --------------------------------------------------------------------------- +# Tests: composition with configs, stacked decorators, and flow mutators +# --------------------------------------------------------------------------- + + +def test_single_step_with_config_descriptor_registered(): + """Config descriptor is registered on a single-step flow.""" + graph = _SingleStepWithConfig._graph + assert graph.start_step == "only" == graph.end_step + names = {name for name, _ in _SingleStepWithConfig._get_parameters()} + assert "cfg" in names + + +def test_single_step_with_multiple_step_decorators(): + """Multiple step decorators stack correctly on a single-step flow.""" + graph = _SingleStepWithStackedDecos._graph + deco_names = {deco.name for deco in graph["only"].decorators} + assert {"retry", "resources"}.issubset(deco_names) + + +def test_single_step_with_flow_mutator_registered(): + """FlowMutator is registered on a single-step flow at class-definition time. + + pre_mutate only fires when the flow is processed via the CLI layer, so + the decorator it adds won't appear on the graph in a unit test. What we + can verify here is that the mutator syntax is accepted by a single-step + FlowSpec and that it's registered as a flow mutator. End-to-end execution + is covered by the matching integration test. + """ + flow_cls = _SingleStepWithFlowMutator._flow_cls + graph = flow_cls._graph + assert graph.start_step == "only" == graph.end_step + mutators = flow_cls._flow_state[FlowStateItems.FLOW_MUTATORS] + assert any(isinstance(m, _AddRetryMutator) for m in mutators) + + +# --------------------------------------------------------------------------- +# Negative-path tests: malformed annotation patterns caught by lint +# --------------------------------------------------------------------------- + + +def _make_multiple_start(): + class MultipleStartFlow(FlowSpec): + @step(start=True) + def begin(self): + self.next(self.end) + + @step(start=True) + def also_begin(self): + self.next(self.end) + + @step + def end(self): + pass + + return MultipleStartFlow + + +def _make_multiple_end(): + class MultipleEndFlow(FlowSpec): + @step + def start(self): + self.next(self.done) + + @step(end=True) + def done(self): + pass + + @step(end=True) + def also_done(self): + pass + + return MultipleEndFlow + + +def _make_no_start(): + class NoStartFlow(FlowSpec): + @step + def compute(self): + self.next(self.done) + + @step(end=True) + def done(self): + pass + + return NoStartFlow + + +def _make_no_end(): + class NoEndFlow(FlowSpec): + @step(start=True) + def begin(self): + self.next(self.compute) + + @step + def compute(self): + pass + + return NoEndFlow + + +def _lint_warnings(flow_cls): + """Run all lint checks and collect LintWarn exceptions.""" + graph = flow_cls._graph + warnings = [] + for rule in linter._checks: + try: + rule(graph) + except LintWarn as e: + warnings.append(str(e)) + return graph, warnings + + +@pytest.mark.parametrize( + "flow_factory, expected_none_field", + [ + (_make_multiple_start, "start_step"), + (_make_multiple_end, "end_step"), + (_make_no_start, "start_step"), + (_make_no_end, "end_step"), + ], + ids=["multiple_start", "multiple_end", "no_start", "no_end"], +) +def test_malformed_flow_sets_none(flow_factory, expected_none_field): + graph = flow_factory()._graph + assert getattr(graph, expected_none_field) is None + + +@pytest.mark.parametrize( + "flow_factory, match_pattern", + [ + (_make_multiple_start, "start"), + (_make_multiple_end, "end"), + (_make_no_start, "start"), + (_make_no_end, "end"), + ], + ids=["multiple_start_lint", "multiple_end_lint", "no_start_lint", "no_end_lint"], +) +def test_malformed_flow_caught_by_lint(flow_factory, match_pattern): + _, warnings = _lint_warnings(flow_factory()) + combined = " ".join(warnings).lower() + assert match_pattern in combined, "Expected lint warning about '%s', got: %s" % ( + match_pattern, + warnings, + ) diff --git a/test/unit/test_sourceless_dag_node.py b/test/unit/test_sourceless_dag_node.py new file mode 100644 index 00000000000..dea6c318d78 --- /dev/null +++ b/test/unit/test_sourceless_dag_node.py @@ -0,0 +1,52 @@ +""" +Tests for the sourceless DAGNode contract used by FunctionSpec. + +FunctionSpec is an upcoming FlowSpec-like construct, currently shipped as an +out-of-tree extension, that synthesizes a single `@step(start=True, end=True)` +method via a metaclass that uses ``compile()`` + ``exec()``. Because the +synthetic step has no source file, ``inspect.getsourcelines()`` cannot recover +its source and ``ast.parse()`` cannot be applied. + +Core metaflow does not ship FunctionSpec, but it does carry the support hooks +the extension relies on: + +- ``DAGNode`` accepts optional ``name=`` / ``num_args=`` kwargs and tolerates + ``func_ast=None``. +- ``FlowGraph._create_sourceless_single_step_node`` builds a DAGNode without + AST parsing for ``start=True, end=True`` steps. +- The lint pipeline accepts the resulting graph. + +This file pins those hooks against silent regressions. It uses ``compile()`` + +``exec()`` + ``type()`` to simulate what FunctionSpec's metaclass would +produce, without depending on the extension package. +""" + +from metaflow import FlowSpec, step +from metaflow.lint import linter + + +def _make_dynamic_single_step_flow(): + namespace = {} + exec( + compile("def only(self):\n self.x = 42\n", "", "exec"), namespace + ) + only = step(start=True, end=True)(namespace["only"]) + return type( + "DynamicSingleStepFlow", + (FlowSpec,), + {"__module__": __name__, "only": only}, + ) + + +def test_dynamic_single_step_without_inspectable_source(): + """Dynamically-generated @step(start=True, end=True) works without source.""" + graph = _make_dynamic_single_step_flow()._graph + + assert graph.start_step == "only" + assert graph.end_step == "only" + assert graph["only"].type == "end" + assert graph["only"].num_args == 1 + assert graph["only"].func_lineno == 1 + assert graph["only"].source_file == "" + + linter.run_checks(graph) diff --git a/test/unit/test_to_pod.py b/test/unit/test_to_pod.py new file mode 100644 index 00000000000..3968dc1fbbe --- /dev/null +++ b/test/unit/test_to_pod.py @@ -0,0 +1,64 @@ +"""Tests for metaflow.util.to_pod. + +Ensures POD conversion handles all the types we expect, including callables +(used by DAGNode.node_info serialization for extensions like FunctionSpec). +""" + +from metaflow.util import to_pod + + +def _top_level_fn(): + pass + + +class _Wrapper: + @staticmethod + def static_method(): + pass + + def instance_method(self): + pass + + +def test_to_pod_primitives(): + assert to_pod("abc") == "abc" + assert to_pod(42) == 42 + assert to_pod(3.14) == 3.14 + + +def test_to_pod_list_set_tuple(): + assert to_pod([1, 2, 3]) == [1, 2, 3] + assert sorted(to_pod({1, 2, 3})) == [1, 2, 3] + assert to_pod((1, 2, 3)) == [1, 2, 3] + + +def test_to_pod_dict(): + assert to_pod({"a": 1, "b": 2}) == {"a": 1, "b": 2} + + +def test_to_pod_nested(): + value = {"outer": [{"inner": (1, 2)}], "other": {"k": "v"}} + assert to_pod(value) == { + "outer": [{"inner": [1, 2]}], + "other": {"k": "v"}, + } + + +def test_to_pod_callable_uses_qualname(): + """Callables serialize to their __qualname__ for _graph_info persistence.""" + result = to_pod(_top_level_fn) + assert result == "_top_level_fn" + + +def test_to_pod_callable_in_dict(): + """Simulates DAGNode.node_info with function references (FunctionSpec use case).""" + result = to_pod({"init_func": _top_level_fn, "call_func": _Wrapper.static_method}) + assert result["init_func"] == "_top_level_fn" + assert result["call_func"] == "_Wrapper.static_method" + + +def test_to_pod_lambda_uses_qualname(): + """Lambdas have __qualname__ like 'test_to_pod_lambda_uses_qualname..'.""" + fn = lambda x: x # noqa: E731 + result = to_pod(fn) + assert "" in result diff --git a/test/ux/core/flows/basic/custom_branch_flow.py b/test/ux/core/flows/basic/custom_branch_flow.py new file mode 100644 index 00000000000..df9cd14b8b2 --- /dev/null +++ b/test/ux/core/flows/basic/custom_branch_flow.py @@ -0,0 +1,34 @@ +"""A branching flow with custom step names using start/end annotations.""" + +from metaflow import FlowSpec, step, project + + +@project(name="custom_branch") +class CustomBranchFlow(FlowSpec): + @step(start=True) + def entry(self): + self.val = "root" + self.next(self.left, self.right) + + @step + def left(self): + self.branch_val = "left" + self.next(self.merge) + + @step + def right(self): + self.branch_val = "right" + self.next(self.merge) + + @step + def merge(self, inputs): + self.branches = sorted([inp.branch_val for inp in inputs]) + self.next(self.done) + + @step(end=True) + def done(self): + self.result = self.branches + + +if __name__ == "__main__": + CustomBranchFlow() diff --git a/test/ux/core/flows/basic/hello_custom_steps.py b/test/ux/core/flows/basic/hello_custom_steps.py new file mode 100644 index 00000000000..24d13f896d8 --- /dev/null +++ b/test/ux/core/flows/basic/hello_custom_steps.py @@ -0,0 +1,24 @@ +"""A simple linear flow using @step(start=True) and @step(end=True) annotations.""" + +from metaflow import FlowSpec, step, project + + +@project(name="hello_custom_steps") +class HelloCustomStepsFlow(FlowSpec): + @step(start=True) + def begin(self): + self.message = "Hello from custom start step" + self.next(self.process) + + @step + def process(self): + self.message = self.message + " -> processed" + self.next(self.finish) + + @step(end=True) + def finish(self): + self.result = self.message + " -> done" + + +if __name__ == "__main__": + HelloCustomStepsFlow() diff --git a/test/ux/core/flows/basic/single_step_flow.py b/test/ux/core/flows/basic/single_step_flow.py new file mode 100644 index 00000000000..5d25ce30531 --- /dev/null +++ b/test/ux/core/flows/basic/single_step_flow.py @@ -0,0 +1,14 @@ +"""A single-step flow using @step(start=True, end=True).""" + +from metaflow import FlowSpec, step, project + + +@project(name="single_step") +class SingleStepFlow(FlowSpec): + @step(start=True, end=True) + def only(self): + self.result = 42 + + +if __name__ == "__main__": + SingleStepFlow() diff --git a/test/ux/core/test_basic.py b/test/ux/core/test_basic.py index 5b775e1e400..1eef3933964 100644 --- a/test/ux/core/test_basic.py +++ b/test/ux/core/test_basic.py @@ -281,6 +281,88 @@ def test_split_in_branch_deployer( ], "inner_join should receive results from inner_x and inner_y" +def test_custom_step_names(exec_mode, decospecs, compute_env, tag, scheduler_config): + """Verify a linear flow with @step(start=True)/@step(end=True) annotations.""" + run = execute_test_flow( + flow_name="basic/hello_custom_steps.py", + exec_mode=exec_mode, + decospecs=decospecs, + tag=tag, + scheduler_config=scheduler_config, + test_name="custom_step_names", + tl_args_extra={"env": compute_env}, + ) + + assert run.successful, "Run was not successful" + step_names = {step.id for step in run} + assert step_names == {"begin", "process", "finish"}, ( + "Expected custom step names, got %s" % step_names + ) + assert ( + run["finish"].task.data.result + == "Hello from custom start step -> processed -> done" + ), "Data did not flow through custom-named steps" + + # Verify graph endpoint metadata is persisted and readable via client API. + # This exercises the init -> persist_constants -> register_metadata chain + # which runs for all backends (local Runner AND scheduler deployer). + start, end = run._graph_endpoints + assert start == "begin", "Expected start_step=begin, got %s" % start + assert end == "finish", "Expected end_step=finish, got %s" % end + assert run.end_task is not None, "end_task should resolve for custom terminal step" + + +def test_single_step_flow(exec_mode, decospecs, compute_env, tag, scheduler_config): + """Verify a single-step flow with @step(start=True, end=True).""" + run = execute_test_flow( + flow_name="basic/single_step_flow.py", + exec_mode=exec_mode, + decospecs=decospecs, + tag=tag, + scheduler_config=scheduler_config, + test_name="single_step", + tl_args_extra={"env": compute_env}, + ) + + assert run.successful, "Run was not successful" + step_names = {step.id for step in run} + assert step_names == {"only"}, "Expected single step 'only', got %s" % step_names + assert run["only"].task.data.result == 42, "Single step data incorrect" + + start, end = run._graph_endpoints + assert start == "only", "Expected start_step=only, got %s" % start + assert end == "only", "Expected end_step=only, got %s" % end + assert run.end_task is not None + + +def test_custom_branch_flow(exec_mode, decospecs, compute_env, tag, scheduler_config): + """Verify a branching flow with custom start/end step annotations.""" + run = execute_test_flow( + flow_name="basic/custom_branch_flow.py", + exec_mode=exec_mode, + decospecs=decospecs, + tag=tag, + scheduler_config=scheduler_config, + test_name="custom_branch", + tl_args_extra={"env": compute_env}, + ) + + assert run.successful, "Run was not successful" + step_names = {step.id for step in run} + assert step_names == {"entry", "left", "right", "merge", "done"}, ( + "Expected custom branch step names, got %s" % step_names + ) + assert sorted(run["done"].task.data.result) == [ + "left", + "right", + ], "Branch data did not merge correctly" + + start, end = run._graph_endpoints + assert start == "entry", "Expected start_step=entry, got %s" % start + assert end == "done", "Expected end_step=done, got %s" % end + assert run.end_task is not None + + @pytest.mark.scheduler_only @pytest.mark.skip(reason="devstack has no GPU nodes") def test_resources_gpu(exec_mode, decospecs, compute_env, tag, scheduler_config):