* Support custom token/lexeme attribute for vectors
* Fix imports
* Back off to ORTH without Vectors.attr
* Fallback if vectors.attr doesn't exist
* Update docs
* 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
* Require that all SpanGroup spans are from the current doc
The restriction on only adding spans from the current doc were already
implemented for all operations except for `SpanGroup.__init__`.
Initialize copied spans for `SpanGroup.copy` with `Doc.char_span` in
order to validate the character offsets and to make it possible to copy
spans between documents with differing tokenization. Currently there is
no validation that the document texts are identical, but the span char
offsets must be valid spans in the target doc, which prevents you from
ending up with completely invalid spans.
* Undo change in test_beam_overfitting_IO
* Add default to MorphAnalysis.get
Similar to `dict`, allow a `default` option for `MorphAnalysis.get` for
the user to provide a default return value if the field is not found.
The default return value remains `[]`, which is not the same as
`dict.get`, but is already established as this method's default return
value with the return type `List[str]`. However the new `default` option
does not enforce that the user-provided default is actually `List[str]`.
* Restore test case
* Enforce that Span.start/end(_char) remain valid and in sync
Allowing span attributes to be writable starting in v3 has made it
possible for the internal `Span.start/end/start_char/end_char` to get
out-of-sync or have invalid values.
This checks that the values are valid and syncs the token and char
offsets if any attributes are modified directly. It does not yet handle
the case where the underlying doc is modified.
* Format
* Add span_id to Span.char_span, update Doc/Span.char_span docs
`Span.char_span(id=)` should be removed in the future.
* Also use Union[int, str] in Doc docstring
* Don't pass mem pool to new lexeme function
* Remove unused mem from function args
Two methods calling _new_lexeme, get and get_by_orth, took mem arguments
just to call the internal method. That's no longer necessary, so this
cleans it up.
* prettier formatting
* Remove more unused mem args
* Init
* Fix return type for mypy
* adjust types and improve setting new attributes
* Add underscore changes to json conversion
* Add test and underscore changes to from_docs
* add underscore changes and test to span.to_doc
* update return values
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Add types to function
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* adjust formatting
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* shorten return type
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* add helper function to improve readability
* Improve code and add comments
* rerun azure tests
* Fix tests for json conversion
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Convert all individual values explicitly to uint64 for array-based doc representations
* Temporarily test with latest numpy v1.24.0rc
* Remove unnecessary conversion from attr_t
* Reduce number of individual casts
* Convert specifically from int32 to uint64
* Revert "Temporarily test with latest numpy v1.24.0rc"
This reverts commit eb0e3c5006.
* Also use int32 in tests
* remove sentiment attribute
* remove sentiment from docs
* add test for backwards compatibility
* replace from_disk with from_bytes
* Fix docs and format file
* Fix formatting
* Fix multiple extensions and character offset
* Rename token_start/end to start/end
* Refactor Doc.from_json based on review
* Iterate over user_data items
* Only add non-empty underscore entries
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* `strings`: Remove unused `hash32_utf8` function
* `strings`: Make `hash_utf8` and `decode_Utf8Str` private
* `strings`: Reorganize private functions
* 'strings': Raise error when non-string/-int types are passed to functions that don't accept them
* `strings`: Add `items()` method, add type hints, remove unused methods, restrict inputs to specific types, reorganize methods
* `Morphology`: Use `StringStore.items()` to enumerate features when pickling
* `test_stringstore`: Update pre-Python 3 tests
* Update `StringStore` docs
* Fix `get_string_id` imports
* Replace redundant test with tests for type checking
* Rename `_retrieve_interned_str`, remove `.get` default arg
* Add `get_string_id` to `strings.pyi`
Remove `mypy` ignore directives from imports of the above
* `strings.pyi`: Replace functions that consume `Union`-typed params with overloads
* `strings.pyi`: Revert some function signatures
* Update `SYMBOLS_BY_INT` lookups and error codes post-merge
* Revert clobbered change introduced in a previous merge
* Remove unnecessary type hint
* Invert tuple order in `StringStore.items()`
* Add test for `StringStore.items()`
* Revert "`Morphology`: Use `StringStore.items()` to enumerate features when pickling"
This reverts commit 1af9510ceb.
* Rename `keys` and `key_map`
* Add `keys()` and `values()`
* Add comment about the inverted key-value semantics in the API
* Fix type hints
* Implement `keys()`, `values()`, `items()` without generators
* Fix type hints, remove unnecessary boxing
* Update docs
* Simplify `keys/values/items()` impl
* `mypy` fix
* Fix error message, doc fixes
* Remove side effects from Doc.__init__()
* Changes based on review comment
* Readd test
* Change interface of Doc.__init__()
* Simplify test
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Update doc.md
Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
* Store activations in Doc when `store_activations` is enabled
This change adds the new `activations` attribute to `Doc`. This
attribute can be used by trainable pipes to store their activations,
probabilities, and guesses for downstream users.
As an example, this change modifies the `tagger` and `senter` pipes to
add an `store_activations` option. When this option is enabled, the
probabilities and guesses are stored in `set_annotations`.
* Change type of `store_activations` to `Union[bool, List[str]]`
When the value is:
- A bool: all activations are stored when set to `True`.
- A List[str]: the activations named in the list are stored
* Formatting fixes in Tagger
* Support store_activations in spancat and morphologizer
* Make Doc.activations type visible to MyPy
* textcat/textcat_multilabel: add store_activations option
* trainable_lemmatizer/entity_linker: add store_activations option
* parser/ner: do not currently support returning activations
* Extend tagger and senter tests
So that they, like the other tests, also check that we get no
activations if no activations were requested.
* Document `Doc.activations` and `store_activations` in the relevant pipes
* Start errors/warnings at higher numbers to avoid merge conflicts
Between the master and v4 branches.
* Add `store_activations` to docstrings.
* Replace store_activations setter by set_store_activations method
Setters that take a different type than what the getter returns are still
problematic for MyPy. Replace the setter by a method, so that type inference
works everywhere.
* Use dict comprehension suggested by @svlandeg
* Revert "Use dict comprehension suggested by @svlandeg"
This reverts commit 6e7b958f70.
* EntityLinker: add type annotations to _add_activations
* _store_activations: make kwarg-only, remove doc_scores_lens arg
* set_annotations: add type annotations
* Apply suggestions from code review
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* TextCat.predict: return dict
* Make the `TrainablePipe.store_activations` property a bool
This means that we can also bring back `store_activations` setter.
* Remove `TrainablePipe.activations`
We do not need to enumerate the activations anymore since `store_activations` is
`bool`.
* Add type annotations for activations in predict/set_annotations
* Rename `TrainablePipe.store_activations` to `save_activations`
* Error E1400 is not used anymore
This error was used when activations were still `Union[bool, List[str]]`.
* Change wording in API docs after store -> save change
* docs: tag (save_)activations as new in spaCy 4.0
* Fix copied line in morphologizer activations test
* Don't train in any test_save_activations test
* Rename activations
- "probs" -> "probabilities"
- "guesses" -> "label_ids", except in the edit tree lemmatizer, where
"guesses" -> "tree_ids".
* Remove unused W400 warning.
This warning was used when we still allowed the user to specify
which activations to save.
* Formatting fixes
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Replace "kb_ids" by a constant
* spancat: replace a cast by an assertion
* Fix EOF spacing
* Fix comments in test_save_activations tests
* Do not set RNG seed in activation saving tests
* Revert "spancat: replace a cast by an assertion"
This reverts commit 0bd5730d16.
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
* Consolidate and freeze symbols
Instead of having symbol values defined in three potentially conflicting
places (`spacy.attrs`, `spacy.parts_of_speech`, `spacy.symbols`), define
all symbols in `spacy.symbols` and reference those values in
`spacy.attrs` and `spacy.parts_of_speech`.
Remove deprecated and placeholder symbols from `spacy.attrs.IDS`.
Make `spacy.attrs.NAMES` and `spacy.symbols.NAMES` reverse dicts rather
than lists in order to support future use of hash values in `attr_id_t`.
Minor changes:
* Use `uint64_t` for attrs in `Doc.to_array` to support future use of
hash values
* Remove unneeded attrs filter for error message in `Doc.to_array`
* Remove unused attr `SENT_END`
* Handle dynamic size of attr_id_t in Doc.to_array
* Undo added warnings
* Refactor to make Doc.to_array more similar to Doc.from_array
* Improve refactoring
