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spaCy/spacy/tests/tokenizer/test_explain.py

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Add tokenizer explain() debugging method (#4596) * Expose tokenizer rules as a property Expose the tokenizer rules property in the same way as the other core properties. (The cache resetting is overkill, but consistent with `from_bytes` for now.) Add tests and update Tokenizer API docs. * Update Hungarian punctuation to remove empty string Update Hungarian punctuation definitions so that `_units` does not match an empty string. * Use _load_special_tokenization consistently Use `_load_special_tokenization()` and have it to handle `None` checks. * Fix precedence of `token_match` vs. special cases Remove `token_match` check from `_split_affixes()` so that special cases have precedence over `token_match`. `token_match` is checked only before infixes are split. * Add `make_debug_doc()` to the Tokenizer Add `make_debug_doc()` to the Tokenizer as a working implementation of the pseudo-code in the docs. Add a test (marked as slow) that checks that `nlp.tokenizer()` and `nlp.tokenizer.make_debug_doc()` return the same non-whitespace tokens for all languages that have `examples.sentences` that can be imported. * Update tokenization usage docs Update pseudo-code and algorithm description to correspond to `nlp.tokenizer.make_debug_doc()` with example debugging usage. Add more examples for customizing tokenizers while preserving the existing defaults. Minor edits / clarifications. * Revert "Update Hungarian punctuation to remove empty string" This reverts commit f0a577f7a5c67f55807fdbda9e9a936464723931. * Rework `make_debug_doc()` as `explain()` Rework `make_debug_doc()` as `explain()`, which returns a list of `(pattern_string, token_string)` tuples rather than a non-standard `Doc`. Update docs and tests accordingly, leaving the visualization for future work. * Handle cases with bad tokenizer patterns Detect when tokenizer patterns match empty prefixes and suffixes so that `explain()` does not hang on bad patterns. * Remove unused displacy image * Add tokenizer.explain() to usage docs
2019-11-20 12:07:25 +00:00
import pytest
from spacy.util import get_lang_class
# Only include languages with no external dependencies
Update Tokenizer.explain tests
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# "is" seems to confuse importlib, so we're also excluding it for now
# excluded: ja, ru, th, uk, vi, zh, is
LANGUAGES = [
Detect more empty matches in tokenizer.explain() (#4675) * Detect more empty matches in tokenizer.explain() * Include a few languages in explain non-slow tests Mark a few languages in tokenizer.explain() tests as not slow so they're run by default.
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pytest.param("fr", marks=pytest.mark.slow()),
pytest.param("af", marks=pytest.mark.slow()),
pytest.param("ar", marks=pytest.mark.slow()),
pytest.param("bg", marks=pytest.mark.slow()),
Update Tokenizer.explain tests
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"bn",
Detect more empty matches in tokenizer.explain() (#4675) * Detect more empty matches in tokenizer.explain() * Include a few languages in explain non-slow tests Mark a few languages in tokenizer.explain() tests as not slow so they're run by default.
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pytest.param("ca", marks=pytest.mark.slow()),
pytest.param("cs", marks=pytest.mark.slow()),
pytest.param("da", marks=pytest.mark.slow()),
pytest.param("de", marks=pytest.mark.slow()),
Update Tokenizer.explain tests
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"el",
"en",
Detect more empty matches in tokenizer.explain() (#4675) * Detect more empty matches in tokenizer.explain() * Include a few languages in explain non-slow tests Mark a few languages in tokenizer.explain() tests as not slow so they're run by default.
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pytest.param("es", marks=pytest.mark.slow()),
pytest.param("et", marks=pytest.mark.slow()),
pytest.param("fa", marks=pytest.mark.slow()),
pytest.param("fi", marks=pytest.mark.slow()),
"fr",
pytest.param("ga", marks=pytest.mark.slow()),
pytest.param("he", marks=pytest.mark.slow()),
pytest.param("hi", marks=pytest.mark.slow()),
pytest.param("hr", marks=pytest.mark.slow()),
"hu",
pytest.param("id", marks=pytest.mark.slow()),
pytest.param("it", marks=pytest.mark.slow()),
pytest.param("kn", marks=pytest.mark.slow()),
pytest.param("lb", marks=pytest.mark.slow()),
pytest.param("lt", marks=pytest.mark.slow()),
pytest.param("lv", marks=pytest.mark.slow()),
pytest.param("nb", marks=pytest.mark.slow()),
pytest.param("nl", marks=pytest.mark.slow()),
"pl",
pytest.param("pt", marks=pytest.mark.slow()),
pytest.param("ro", marks=pytest.mark.slow()),
pytest.param("si", marks=pytest.mark.slow()),
pytest.param("sk", marks=pytest.mark.slow()),
pytest.param("sl", marks=pytest.mark.slow()),
pytest.param("sq", marks=pytest.mark.slow()),
pytest.param("sr", marks=pytest.mark.slow()),
pytest.param("sv", marks=pytest.mark.slow()),
pytest.param("ta", marks=pytest.mark.slow()),
pytest.param("te", marks=pytest.mark.slow()),
pytest.param("tl", marks=pytest.mark.slow()),
pytest.param("tr", marks=pytest.mark.slow()),
pytest.param("tt", marks=pytest.mark.slow()),
pytest.param("ur", marks=pytest.mark.slow()),
Update Tokenizer.explain tests
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]
Add tokenizer explain() debugging method (#4596) * Expose tokenizer rules as a property Expose the tokenizer rules property in the same way as the other core properties. (The cache resetting is overkill, but consistent with `from_bytes` for now.) Add tests and update Tokenizer API docs. * Update Hungarian punctuation to remove empty string Update Hungarian punctuation definitions so that `_units` does not match an empty string. * Use _load_special_tokenization consistently Use `_load_special_tokenization()` and have it to handle `None` checks. * Fix precedence of `token_match` vs. special cases Remove `token_match` check from `_split_affixes()` so that special cases have precedence over `token_match`. `token_match` is checked only before infixes are split. * Add `make_debug_doc()` to the Tokenizer Add `make_debug_doc()` to the Tokenizer as a working implementation of the pseudo-code in the docs. Add a test (marked as slow) that checks that `nlp.tokenizer()` and `nlp.tokenizer.make_debug_doc()` return the same non-whitespace tokens for all languages that have `examples.sentences` that can be imported. * Update tokenization usage docs Update pseudo-code and algorithm description to correspond to `nlp.tokenizer.make_debug_doc()` with example debugging usage. Add more examples for customizing tokenizers while preserving the existing defaults. Minor edits / clarifications. * Revert "Update Hungarian punctuation to remove empty string" This reverts commit f0a577f7a5c67f55807fdbda9e9a936464723931. * Rework `make_debug_doc()` as `explain()` Rework `make_debug_doc()` as `explain()`, which returns a list of `(pattern_string, token_string)` tuples rather than a non-standard `Doc`. Update docs and tests accordingly, leaving the visualization for future work. * Handle cases with bad tokenizer patterns Detect when tokenizer patterns match empty prefixes and suffixes so that `explain()` does not hang on bad patterns. * Remove unused displacy image * Add tokenizer.explain() to usage docs
2019-11-20 12:07:25 +00:00
Re-add slow marker
2019-11-20 12:15:59 +00:00
Add tokenizer explain() debugging method (#4596) * Expose tokenizer rules as a property Expose the tokenizer rules property in the same way as the other core properties. (The cache resetting is overkill, but consistent with `from_bytes` for now.) Add tests and update Tokenizer API docs. * Update Hungarian punctuation to remove empty string Update Hungarian punctuation definitions so that `_units` does not match an empty string. * Use _load_special_tokenization consistently Use `_load_special_tokenization()` and have it to handle `None` checks. * Fix precedence of `token_match` vs. special cases Remove `token_match` check from `_split_affixes()` so that special cases have precedence over `token_match`. `token_match` is checked only before infixes are split. * Add `make_debug_doc()` to the Tokenizer Add `make_debug_doc()` to the Tokenizer as a working implementation of the pseudo-code in the docs. Add a test (marked as slow) that checks that `nlp.tokenizer()` and `nlp.tokenizer.make_debug_doc()` return the same non-whitespace tokens for all languages that have `examples.sentences` that can be imported. * Update tokenization usage docs Update pseudo-code and algorithm description to correspond to `nlp.tokenizer.make_debug_doc()` with example debugging usage. Add more examples for customizing tokenizers while preserving the existing defaults. Minor edits / clarifications. * Revert "Update Hungarian punctuation to remove empty string" This reverts commit f0a577f7a5c67f55807fdbda9e9a936464723931. * Rework `make_debug_doc()` as `explain()` Rework `make_debug_doc()` as `explain()`, which returns a list of `(pattern_string, token_string)` tuples rather than a non-standard `Doc`. Update docs and tests accordingly, leaving the visualization for future work. * Handle cases with bad tokenizer patterns Detect when tokenizer patterns match empty prefixes and suffixes so that `explain()` does not hang on bad patterns. * Remove unused displacy image * Add tokenizer.explain() to usage docs
2019-11-20 12:07:25 +00:00
@pytest.mark.parametrize("lang", LANGUAGES)
def test_tokenizer_explain(lang):
Detect more empty matches in tokenizer.explain() (#4675) * Detect more empty matches in tokenizer.explain() * Include a few languages in explain non-slow tests Mark a few languages in tokenizer.explain() tests as not slow so they're run by default.
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tokenizer = get_lang_class(lang).Defaults.create_tokenizer()
Drop Python 2.7 and 3.5 (#4828) * Remove unicode declarations * Remove Python 3.5 and 2.7 from CI * Don't require pathlib * Replace compat helpers * Remove OrderedDict * Use f-strings * Set Cython compiler language level * Fix typo * Re-add OrderedDict for Table * Update setup.cfg * Revert CONTRIBUTING.md * Revert lookups.md * Revert top-level.md * Small adjustments and docs [ci skip]
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examples = pytest.importorskip(f"spacy.lang.{lang}.examples")
Update Tokenizer.explain tests
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for sentence in examples.sentences:
Detect more empty matches in tokenizer.explain() (#4675) * Detect more empty matches in tokenizer.explain() * Include a few languages in explain non-slow tests Mark a few languages in tokenizer.explain() tests as not slow so they're run by default.
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tokens = [t.text for t in tokenizer(sentence) if not t.is_space]
debug_tokens = [t[1] for t in tokenizer.explain(sentence)]
Update Tokenizer.explain tests
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assert tokens == debug_tokens