Summary:
Time dimension for Hebrew.
Commented out the failing tests that actually also fail in Clojure.
Reviewed By: JonCoens
Differential Revision: D4970308
fbshipit-source-id: b455142
Summary:
This diff was generated by running `hsclimps`
PLEASE TAKE ONE OF THE FOLLOWING ACTIONS AS SOON AS POSSIBLE:
1) Select Accept and Ship to land this change
2) If you have issues with this diff, request changes
3) If you are no longer the owner, add reviewers and update the `.context` file with the appropriate owner
NOTE: If the diff is unable to land because of a merge conflict I will automatically update it for you.
#accept2ship
Reviewed By: niteria
Differential Revision: D4937839
fbshipit-source-id: bb3d330
Summary:
So far contradictions from intersection only
propagated through intersection. This change
makes it so that it also propagates through intervals
and lets intervals also generate contradictions.
Reviewed By: patapizza
Differential Revision: D4864160
fbshipit-source-id: 8348267
Summary:
This is the easiest way to fix it, but talking offline
with Julien, we may need to revisit.
It basically gets rid of time series where we were
producing intervals that are not a multiply of the grain.
Reviewed By: patapizza
Differential Revision: D4841759
fbshipit-source-id: 1c4742a
Summary:
* 'no dia 20' (on the 20)
* Unifying two rules into one, with a day grain
See https://github.com/wit-ai/wit/issues/388
Reviewed By: blandinw
Differential Revision: D4715780
fbshipit-source-id: e990954
Summary:
It is no longer necessary after D4676812 and D4698788.
`"I have 9 am 12 pm 1 pm 2pm 4 pm 3 pm on Saturday"` now works in
less than a second, it used to be 10s.
The test suite also got 3s faster.
Reviewed By: patapizza
Differential Revision: D4701890
fbshipit-source-id: 107a55f
Summary:
This is the next step for:
https://fb.facebook.com/groups/527352907463243/permalink/600056483526218/
This:
* changes the time language to be able to track contradictions (`EmptyPredicate`)
* changes the time language to be able to collect non-contradicting pieces, like month and hour and unify them
* provides an efficient way to convert those pieces into (past,future) time series
* adds AMPM predicate runner - there's a bit of overlap with is12H, but it basically works
* changes a test case that was wrong before
* regenerates classifiers, I'm not sure why they changed exactly
Before:
```
res <- H.io $ let sentence = "10am thurs 4.30 thurs 12pm sat" in (debugTokens sentence $ analyze sentence (testContext {lang = EN}) HashSet.empty)
(15.50 secs, 6,171,188,928 bytes)
res <- H.io $ let sentence = "I have 9 am 12 pm 1 pm 2pm 4 pm 3 pm on Saturday" in (debugTokens sentence $ analyze sentence (testContext {lang = EN}) HashSet.empty)
(110.82 secs, 44,031,569,512 bytes)
```
After:
```
res <- H.io $ let sentence = "10am thurs 4.30 thurs 12pm sat" in (debugTokens sentence $ analyze sentence (testContext {lang = EN}) HashSet.empty)
(1.24 secs, 703,020,912 bytes)
res <- H.io $ let sentence = "I have 9 am 12 pm 1 pm 2pm 4 pm 3 pm on Saturday" in (debugTokens sentence $ analyze sentence (testContext {lang = EN}) HashSet.empty)
(9.51 secs, 5,891,109,592 bytes)
```
Reviewed By: JonCoens
Differential Revision: D4676812
fbshipit-source-id: 9810203
Summary:
* we weren't checking the right reference time in `takeNth` and `takeN`
* fixing resulting failing tests for `IT`
* `analyzedNTest` to check that input results in `n` parsed tokens
Reviewed By: niteria
Differential Revision: D4698788
fbshipit-source-id: 2cd4762
