Merge pull request #304 from rasendubi/fix-canonicalization
[canonicalization] fix result canonicalization example
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c7b38b9259
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@ -177,8 +177,8 @@ The result would be as follows:
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```text
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```text
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Canonical(QR) = for<T, L> {
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Canonical(QR) = for<T, L> {
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certainty: Proven,
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certainty: Proven,
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var_values: [Vec<?0>, '?1, ?2]
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var_values: [Vec<?0>, '?1, ?0]
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region_constraints: [?2: '?1],
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region_constraints: [?0: '?1],
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value: (),
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value: (),
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}
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}
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```
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```
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@ -213,8 +213,8 @@ and now we got back a canonical response:
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```text
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```text
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for<T, L> {
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for<T, L> {
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certainty: Proven,
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certainty: Proven,
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var_values: [Vec<?0>, '?1, ?2]
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var_values: [Vec<?0>, '?1, ?0]
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region_constraints: [?2: '?1],
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region_constraints: [?0: '?1],
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value: (),
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value: (),
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}
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}
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```
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```
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@ -250,7 +250,7 @@ for later verification.
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than eagerly instantiating all of the canonical values in the result
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than eagerly instantiating all of the canonical values in the result
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with variables, we instead walk the vector of values, looking for
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with variables, we instead walk the vector of values, looking for
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cases where the value is just a canonical variable. In our example,
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cases where the value is just a canonical variable. In our example,
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`values[2]` is `?C`, so that means we can deduce that `?C := ?B and
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`values[2]` is `?C`, so that means we can deduce that `?C := ?B` and
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`'?D := 'static`. This gives us a partial set of values. Anything for
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`'?D := 'static`. This gives us a partial set of values. Anything for
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which we do not find a value, we create an inference variable.)
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which we do not find a value, we create an inference variable.)
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