Commit Graph

33 Commits

Author SHA1 Message Date
Basile Dura
b0228d8ea6
ci: add cython linter (#12694)
* chore: add cython-linter dev dependency

* fix: lexeme.pyx

* fix: morphology.pxd

* fix: tokenizer.pxd

* fix: vocab.pxd

* fix: morphology.pxd (line length)

* ci: add cython-lint

* ci: fix cython-lint call

* Fix kb/candidate.pyx.

* Fix kb/kb.pyx.

* Fix kb/kb_in_memory.pyx.

* Fix kb.

* Fix training/ partially.

* Fix training/. Ignore trailing whitespaces and too long lines.

* Fix ml/.

* Fix matcher/.

* Fix pipeline/.

* Fix tokens/.

* Fix build errors. Fix vocab.pyx.

* Fix cython-lint install and run.

* Fix lexeme.pyx, parts_of_speech.pxd, vectors.pyx. Temporarily disable cython-lint execution.

* Fix attrs.pyx, lexeme.pyx, symbols.pxd, isort issues.

* Make cython-lint install conditional. Fix tokenizer.pyx.

* Fix remaining files. Reenable cython-lint check.

* Readded parentheses.

* Fix test_build_dependencies().

* Add explanatory comment to cython-lint execution.

---------

Co-authored-by: Raphael Mitsch <r.mitsch@outlook.com>
2023-07-19 12:03:31 +02:00
Daniël de Kok
e2b70df012
Configure isort to use the Black profile, recursively isort the spacy module (#12721)
* Use isort with Black profile

* isort all the things

* Fix import cycles as a result of import sorting

* Add DOCBIN_ALL_ATTRS type definition

* Add isort to requirements

* Remove isort from build dependencies check

* Typo
2023-06-14 17:48:41 +02:00
Sofie Van Landeghem
eaeca5eb6a
account for NER labels with a hyphen in the name (#10960)
* account for NER labels with a hyphen in the name

* cleanup

* fix docstring

* add return type to helper method

* shorter method and few more occurrences

* user helper method across repo

* fix circular import

* partial revert to avoid circular import
2022-06-17 20:02:37 +01:00
kadarakos
1bb87f35bc
Detect cycle during projectivize (#10877)
* detect cycle during projectivize

* not complete test to detect cycle in projectivize

* boolean to int type to propagate error

* use unordered_set instead of set

* moved error message to errors

* removed cycle from test case

* use find instead of count

* cycle check: only perform one lookup

* Return bool again from _has_head_as_ancestor

Communicate presence of cycles through an output argument.

* Switch to returning std::pair to encode presence of a cycle

The has_cycle pointer is too easy to misuse. Ideally, we would have a
sum type like Rust's `Result` here, but C++ is not there yet.

* _is_non_proj_arc: clarify what we are returning

* _has_head_as_ancestor: remove count

We are now explicitly checking for cycles, so the algorithm must always
terminate. Either we encounter the head, we find a root, or a cycle.

* _is_nonproj_arc: simplify condition

* Another refactor using C++ exceptions

* Remove unused error code

* Print graph with cycle on exception

* Include .hh files in source package

* Add FIXME comment

* cycle detection test

* find cycle when starting from problematic vertex

Co-authored-by: Daniël de Kok <me@danieldk.eu>
2022-06-08 19:34:11 +02:00
Raphael Mitsch
f5390e278a
Refactor error messages to remove hardcoded strings (#10729)
* Use custom error msg instead of hardcoded string: replaced remaining hardcoded error message strings.

* Use custom error msg instead of hardcoded string: fixing faulty Errors import.
2022-05-02 13:38:46 +02:00
Daniël de Kok
c90dd6f265
Alignment: use a simplified ragged type for performance (#10319)
* Alignment: use a simplified ragged type for performance

This introduces the AlignmentArray type, which is a simplified version
of Ragged that performs better on the simple(r) indexing performed for
alignment.

* AlignmentArray: raise an error when using unsupported index

* AlignmentArray: move error messages to Errors

* AlignmentArray: remove simlified ... with simplifications

* AlignmentArray: fix typo that broke a[n:n] indexing
2022-04-01 09:02:06 +02:00
Daniël de Kok
78a8bec4d0
Make core projectivization functions cdef nogil (#10241)
* Make core projectivization methods cdef nogil

While profiling the parser, I noticed that relatively a lot of time is
spent in projectivization. This change rewrites the functions in the
core loops as cdef nogil for efficiency.

In C++-land, we use vector in place of Python lists and absent heads
are represented as -1 in place of None.

* _heads_to_c: add assertion

Validation should be performed by the caller, but this assertion ensures that
we are not reading/writing out of bounds with incorrect input.
2022-02-21 15:02:21 +01:00
Daniël de Kok
63fa55089d Use constant-time head lookups in StateC::{L,R}
This change changes the type of left/right-arc collections from
vector[ArcC] to unordered_map[int, vector[Arc]], so that the arcs are
keyed by the head. This allows us to find all the left/right arcs for a
particular head in constant time in StateC::{L,R}.

Benchmarks with long docs (N is the number of text repetitions):

Before (using #10019):

    N  Time (s)

  400   3.2
  800   5.0
 1600   9.5
 3200  23.2
 6400  66.8
12800  220.0

After (this commit):

   N   Time (s)

  400   3.1
  800   4.3
 1600   6.7
 3200  12.0
 6400  22.0
12800  42.0

Related to #9858 and #10019.
2022-01-13 12:08:46 +01:00
Daniël de Kok
677c1a3507 Speed up the StateC::L feature function (#10019)
* Speed up the StateC::L feature function

This function gets the n-th most-recent left-arc with a particular head.
Before this change, StateC::L would construct a vector of all left-arcs
with the given head and then pick the n-th most recent from that vector.
Since the number of left-arcs strongly correlates with the doc length
and the feature is constructed for every transition, this can make
transition-parsing quadratic.

With this change StateC::L:

- Searches left-arcs backwards.
- Stops early when the n-th matching transition is found.
- Does not construct a vector (reducing memory pressure).

This change doesn't avoid the linear search when the transition that is
queried does not occur in the left-arcs. Regardless, performance is
improved quite a bit with very long docs:

Before:

   N  Time

 400   3.3
 800   5.4
1600  11.6
3200  30.7

After:

   N  Time

 400   3.2
 800   5.0
1600   9.5
3200  23.2

We can probably do better with more tailored data structures, but I
first wanted to make a low-impact PR.

Found while investigating #9858.

* StateC::L: simplify loop
2022-01-13 09:29:58 +01:00
Adriane Boyd
94fbd88521
Use dict.copy().items() instead of list(.items()) (#9868) 2021-12-16 09:17:33 +01:00
Adriane Boyd
36c7047946
Use reference parse to initialize parser moves (#9722) 2021-11-23 14:55:55 +01:00
Paul O'Leary McCann
0f01f46e02
Update Cython string types (#9143)
* Replace all basestring references with unicode

`basestring` was a compatability type introduced by Cython to make
dealing with utf-8 strings in Python2 easier. In Python3 it is
equivalent to the unicode (or str) type.

I replaced all references to basestring with unicode, since that was
used elsewhere, but we could also just replace them with str, which
shoudl also be equivalent.

All tests pass locally.

* Replace all references to unicode type with str

Since we only support python3 this is simpler.

* Remove all references to unicode type

This removes all references to the unicode type across the codebase and
replaces them with `str`, which makes it more drastic than the prior
commits. In order to make this work importing `unicode_literals` had to
be removed, and one explicit unicode literal also had to be removed (it
is unclear why this is necessary in Cython with language level 3, but
without doing it there were errors about implicit conversion).

When `unicode` is used as a type in comments it was also edited to be
`str`.

Additionally `coding: utf8` headers were removed from a few files.
2021-09-13 17:02:17 +02:00
Matthew Honnibal
6f5e308d17
Support negative examples in partial NER annotations (#8106)
* Support a cfg field in transition system

* Make NER 'has gold' check use right alignment for span

* Pass 'negative_samples_key' property into NER transition system

* Add field for negative samples to NER transition system

* Check neg_key in NER has_gold

* Support negative examples in NER oracle

* Test for negative examples in NER

* Fix name of config variable in NER

* Remove vestiges of old-style partial annotation

* Remove obsolete tests

* Add comment noting lack of support for negative samples in parser

* Additions to "neg examples" PR (#8201)

* add custom error and test for deprecated format

* add test for unlearning an entity

* add break also for Begin's cost

* add negative_samples_key property on Parser

* rename

* extend docs & fix some older docs issues

* add subclass constructors, clean up tests, fix docs

* add flaky test with ValueError if gold parse was not found

* remove ValueError if n_gold == 0

* fix docstring

* Hack in environment variables to try out training

* Remove hack

* Remove NER hack, and support 'negative O' samples

* Fix O oracle

* Fix transition parser

* Remove 'not O' from oracle

* Fix NER oracle

* check for spans in both gold.ents and gold.spans and raise if so, to prevent memory access violation

* use set instead of list in consistency check

Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2021-06-17 17:33:00 +10:00
Adriane Boyd
6788d90f61
Preserve existing ENT_KB_ID annotation in NER (#7988)
* Preserve existing ENT_KB_ID annotation in NER

Preserve `ent_kb_id` annotation on existing entity spans, which is not
preserved by the transition system.

* Simplify kb_id assignment

* Simplify further
2021-05-06 18:49:55 +10:00
Matthew Honnibal
0fb8d437c0
Fix sentence fragments bug (#7056, #7035) (#7057)
* Add test for #7035

* Update test for issue 7056

* Fix test

* Fix transitions method used in testing

* Fix state eol detection when rebuffer

* Clean up redundant fix
2021-02-14 13:38:13 +11:00
Matthew Honnibal
1d20e21f3e Add labels implicitly for parser and ner 2021-01-27 12:54:47 +11:00
Adriane Boyd
43a752a2a0
Fix assertion in default get oracle sequence usage (#6738)
Remove assertion for default debug value in 
`get_oracle_sequence_from_state`.
2021-01-16 16:07:39 +01:00
Matthew Honnibal
f0c696b4aa Fix failed merge of #6694 patch 2021-01-16 13:44:11 +11:00
Matthew Honnibal
7b3f0c6f1b
Questionable fix for parser training bug with misaligned sentences (#6694)
* Questionable fix for parser training bug with misaligned sentences

* Fix

Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
2021-01-15 14:18:24 +01:00
svlandeg
ed53bb979d cleanup 2021-01-13 14:20:05 +01:00
svlandeg
5b598bd1d5 formatting 2021-01-12 17:28:41 +01:00
svlandeg
dd12c6c8fd allow missing information in deps and heads annotations 2021-01-07 19:10:32 +01:00
Sofie Van Landeghem
8c1a23209f
Getting scores out of beam_parser (#6684)
* clean up of ner tests

* beam_parser tests

* implement get_beam_parses and scored_parses for the dep parser

* we don't have to add the parse if there are no arcs
2021-01-07 16:28:27 +11:00
Sofie Van Landeghem
402dbc5bae
Getting scores out of beam_ner (#6575)
* small fixes and formatting

* bring test_issue4313 up-to-date, currently fails

* formatting

* add get_beam_parses method back

* add scored_ents function

* delete tag map
2021-01-06 12:02:32 +01:00
Sofie Van Landeghem
29b59086f9
Prevent 0-length mem alloc (#6653)
* prevent 0-length mem alloc by adding asserts

* fix lexeme mem allocation
2021-01-06 12:50:17 +11:00
Matthew Honnibal
8656a08777
Add beam_parser and beam_ner components for v3 (#6369)
* Get basic beam tests working

* Get basic beam tests working

* Compile _beam_utils

* Remove prints

* Test beam density

* Beam parser seems to train

* Draft beam NER

* Upd beam

* Add hypothesis as dev dependency

* Implement missing is-gold-parse method

* Implement early update

* Fix state hashing

* Fix test

* Fix test

* Default to non-beam in parser constructor

* Improve oracle for beam

* Start refactoring beam

* Update test

* Refactor beam

* Update nn

* Refactor beam and weight by cost

* Update ner beam settings

* Update test

* Add __init__.pxd

* Upd test

* Fix test

* Upd test

* Fix test

* Remove ring buffer history from StateC

* WIP change arc-eager transitions

* Add state tests

* Support ternary sent start values

* Fix arc eager

* Fix NER

* Pass oracle cut size for beam

* Fix ner test

* Fix beam

* Improve StateC.clone

* Improve StateClass.borrow

* Work directly with StateC, not StateClass

* Remove print statements

* Fix state copy

* Improve state class

* Refactor parser oracles

* Fix arc eager oracle

* Fix arc eager oracle

* Use a vector to implement the stack

* Refactor state data structure

* Fix alignment of sent start

* Add get_aligned_sent_starts method

* Add test for ae oracle when bad sentence starts

* Fix sentence segment handling

* Avoid Reduce that inserts illegal sentence

* Update preset SBD test

* Fix test

* Remove prints

* Fix sent starts in Example

* Improve python API of StateClass

* Tweak comments and debug output of arc eager

* Upd test

* Fix state test

* Fix state test
2020-12-13 09:08:32 +08:00
Ines Montani
bcd52e5486 Tidy up errors and warnings 2020-10-04 11:16:31 +02:00
Adriane Boyd
7e4cd7575c
Refactor Docs.is_ flags (#6044)
* Refactor Docs.is_ flags

* Add derived `Doc.has_annotation` method

  * `Doc.has_annotation(attr)` returns `True` for partial annotation

  * `Doc.has_annotation(attr, require_complete=True)` returns `True` for
    complete annotation

* Add deprecation warnings to `is_tagged`, `is_parsed`, `is_sentenced`
and `is_nered`

* Add `Doc._get_array_attrs()`, which returns a full list of `Doc` attrs
for use with `Doc.to_array`, `Doc.to_bytes` and `Doc.from_docs`. The
list is the `DocBin` attributes list plus `SPACY` and `LENGTH`.

Notes on `Doc.has_annotation`:

* `HEAD` is converted to `DEP` because heads don't have an unset state

* Accept `IS_SENT_START` as a synonym of `SENT_START`

Additional changes:

* Add `NORM`, `ENT_ID` and `SENT_START` to default attributes for
`DocBin`

* In `Doc.from_array()` the presence of `DEP` causes `HEAD` to override
`SENT_START`

* In `Doc.from_array()` using `attrs` other than
`Doc._get_array_attrs()` (i.e., a user's custom list rather than our
default internal list) with both `HEAD` and `SENT_START` shows a warning
that `HEAD` will override `SENT_START`

* `set_children_from_heads` does not require dependency labels to set
sentence boundaries and sets `sent_start` for all non-sentence starts to
`-1`

* Fix call to set_children_form_heads

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-09-17 00:14:01 +02:00
Adriane Boyd
a119667a36
Clean up spacy.tokens (#6046)
* Clean up spacy.tokens

* Update `set_children_from_heads`:
  * Don't check `dep` when setting lr_* or sentence starts
  * Set all non-sentence starts to `False`

* Use `set_children_from_heads` in `Token.head` setter
  * Reduce similar/duplicate code (admittedly adds a bit of overhead)
  * Update sentence starts consistently

* Remove unused `Doc.set_parse`

* Minor changes:
  * Declare cython variables (to avoid cython warnings)
  * Clean up imports

* Modify set_children_from_heads to set token range

Modify `set_children_from_heads` so that it adjust tokens within a
specified range rather then the whole document.

Modify the `Token.head` setter to adjust only the tokens affected by the
new head assignment.
2020-09-16 20:32:38 +02:00
Sofie Van Landeghem
8e7557656f
Renaming gold & annotation_setter (#6042)
* version bump to 3.0.0a16

* rename "gold" folder to "training"

* rename 'annotation_setter' to 'set_extra_annotations'

* formatting
2020-09-09 10:31:03 +02:00
Matthew Honnibal
737a1408d9 Improve implementation of fix #6010
Follow-ups to the parser efficiency fix.

* Avoid introducing new counter for number of pushes
* Base cut on number of transitions, keeping it more even
* Reintroduce the randomization we had in v2.
2020-09-02 14:42:32 +02:00
Matthew Honnibal
c1bf3a5602
Fix significant performance bug in parser training (#6010)
The parser training makes use of a trick for long documents, where we
use the oracle to cut up the document into sections, so that we can have
batch items in the middle of a document. For instance, if we have one
document of 600 words, we might make 6 states, starting at words 0, 100,
200, 300, 400 and 500.

The problem is for v3, I screwed this up and didn't stop parsing! So
instead of a batch of [100, 100, 100, 100, 100, 100], we'd have a batch
of [600, 500, 400, 300, 200, 100]. Oops.

The implementation here could probably be improved, it's annoying to
have this extra variable in the state. But this'll do.

This makes the v3 parser training 5-10 times faster, depending on document
lengths. This problem wasn't in v2.
2020-09-02 12:57:13 +02:00
Sofie Van Landeghem
ca491722ad
The Parser is now a Pipe (2) (#5844)
* moving syntax folder to _parser_internals

* moving nn_parser and transition_system

* move nn_parser and transition_system out of internals folder

* moving nn_parser code into transition_system file

* rename transition_system to transition_parser

* moving parser_model and _state to ml

* move _state back to internals

* The Parser now inherits from Pipe!

* small code fixes

* removing unnecessary imports

* remove link_vectors_to_models

* transition_system to internals folder

* little bit more cleanup

* newlines
2020-07-30 23:30:54 +02:00