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2 typos
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@@ -505,7 +505,7 @@ constituents. The linearization of such a constituent
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is compositionally defined to be the record linearizing the body
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is compositionally defined to be the record linearizing the body
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extended with fields for each of the variable symbols:
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extended with fields for each of the variable symbols:
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\[
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\[
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\sugmap{\lambda x_{0} \rarrow \cdots \rarrow \lambda x_{n} \rarrow b}
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\sugmap{(\lambda x_{0} \rarrow \cdots \rarrow \lambda x_{n} \rarrow b)}
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\;=\;
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\;=\;
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\sugmap{b} *\!* \{\$_{0} = \sugmap{x_{0}} ; \ldots ; \$_{n} = \sugmap{x_{n}}\}
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\sugmap{b} *\!* \{\$_{0} = \sugmap{x_{0}} ; \ldots ; \$_{n} = \sugmap{x_{n}}\}
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\]
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\]
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@@ -747,7 +747,7 @@ in Appendix C, we do not treat symbol tables
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in linearization, but instead generated code in
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in linearization, but instead generated code in
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\empha{Symbolic JVM}---that is, JVM with symbolic addresses.
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\empha{Symbolic JVM}---that is, JVM with symbolic addresses.
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Therefore we need a postprocessor that resolves the symbolic addresses,
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Therefore we need a postprocessor that resolves the symbolic addresses,
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shown in Appendix D.
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shown in Appendix E.
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To make the postprocessor straightforward,
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To make the postprocessor straightforward,
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Symbolic JVM has special \texttt{alloc} instructions,
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Symbolic JVM has special \texttt{alloc} instructions,
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