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compiler.embedding: add fast path for inference for lists of scalars in a host object.
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@ -323,33 +323,67 @@ class StitchingInferencer(Inferencer):
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else:
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attributes = object_type.attributes
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ast = self.quote(attr_value, object_loc.expanded_from)
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attr_value_type = None
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def proxy_diagnostic(diag):
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note = diagnostic.Diagnostic("note",
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"while inferring a type for an attribute '{attr}' of a host object",
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{"attr": node.attr},
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node.loc)
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diag.notes.append(note)
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if isinstance(attr_value, list):
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# Fast path for lists of scalars.
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IS_FLOAT = 1
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IS_INT32 = 2
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IS_INT64 = 4
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self.engine.process(diag)
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state = 0
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for elt in attr_value:
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if elt.__class__ == float:
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state |= IS_FLOAT
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elif elt.__class__ == int:
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if -2**31 < elt < 2**31-1:
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state |= IS_INT32
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elif -2**63 < elt < 2**63-1:
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state |= IS_INT64
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else:
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state = -1
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break
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else:
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state = -1
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proxy_engine = diagnostic.Engine()
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proxy_engine.process = proxy_diagnostic
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Inferencer(engine=proxy_engine).visit(ast)
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IntMonomorphizer(engine=proxy_engine).visit(ast)
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if state == IS_FLOAT:
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attr_value_type = builtins.TList(builtins.TFloat())
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elif state == IS_INT32:
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attr_value_type = builtins.TList(builtins.TInt32())
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elif state == IS_INT64:
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attr_value_type = builtins.TList(builtins.TInt64())
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if attr_value_type is None:
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# Slow path. We don't know what exactly is the attribute value,
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# so we quote it only for the error message that may possibly result.
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ast = self.quote(attr_value, object_loc.expanded_from)
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def proxy_diagnostic(diag):
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note = diagnostic.Diagnostic("note",
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"while inferring a type for an attribute '{attr}' of a host object",
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{"attr": node.attr},
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node.loc)
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diag.notes.append(note)
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self.engine.process(diag)
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proxy_engine = diagnostic.Engine()
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proxy_engine.process = proxy_diagnostic
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Inferencer(engine=proxy_engine).visit(ast)
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IntMonomorphizer(engine=proxy_engine).visit(ast)
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attr_value_type = ast.type
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if node.attr not in attributes:
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# We just figured out what the type should be. Add it.
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attributes[node.attr] = ast.type
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elif attributes[node.attr] != ast.type and not types.is_rpc_function(ast.type):
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attributes[node.attr] = attr_value_type
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elif attributes[node.attr] != attr_value_type and not types.is_rpc_function(attr_value_type):
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# Does this conflict with an earlier guess?
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# RPC function types are exempt because RPCs are dynamically typed.
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printer = types.TypePrinter()
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diag = diagnostic.Diagnostic("error",
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"host object has an attribute '{attr}' of type {typea}, which is"
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" different from previously inferred type {typeb} for the same attribute",
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{"typea": printer.name(ast.type),
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{"typea": printer.name(attr_value_type),
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"typeb": printer.name(attributes[node.attr]),
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"attr": node.attr},
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object_loc)
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