spaCy/spacy/tests/lang/en/test_customized_tokenizer.py

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2017-10-14 11:28:46 +00:00
# coding: utf-8
from __future__ import unicode_literals
import pytest
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
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import re
💫 Refactor test suite (#2568) ## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
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from spacy.lang.en import English
from spacy.tokenizer import Tokenizer
from spacy.util import compile_prefix_regex, compile_suffix_regex
from spacy.util import compile_infix_regex
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@pytest.fixture
def custom_en_tokenizer(en_vocab):
💫 Refactor test suite (#2568) ## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
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prefix_re = compile_prefix_regex(English.Defaults.prefixes)
suffix_re = compile_suffix_regex(English.Defaults.suffixes)
custom_infixes = [
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r"\.\.\.+",
r"(?<=[0-9])-(?=[0-9])",
r"[0-9]+(,[0-9]+)+",
r"[\[\]!&:,()\*—–\/-]",
]
💫 Refactor test suite (#2568) ## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
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infix_re = compile_infix_regex(custom_infixes)
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
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token_match_re = re.compile("a-b")
return Tokenizer(
en_vocab,
English.Defaults.tokenizer_exceptions,
prefix_re.search,
suffix_re.search,
infix_re.finditer,
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
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token_match=token_match_re.match,
)
2017-10-14 11:28:46 +00:00
💫 Refactor test suite (#2568) ## Description Related issues: #2379 (should be fixed by separating model tests) * **total execution time down from > 300 seconds to under 60 seconds** 🎉 * removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure * changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version) * merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways) * tidied up and rewrote existing tests wherever possible ### Todo - [ ] move tests to `/tests` and adjust CI commands accordingly - [x] move model test suite from internal repo to `spacy-models` - [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~ - [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted - [ ] update documentation on how to run tests ### Types of change enhancement, tests ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
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def test_en_customized_tokenizer_handles_infixes(custom_en_tokenizer):
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sentence = "The 8 and 10-county definitions are not used for the greater Southern California Megaregion."
context = [word.text for word in custom_en_tokenizer(sentence)]
assert context == [
"The",
"8",
"and",
"10",
"-",
"county",
"definitions",
"are",
"not",
"used",
"for",
"the",
"greater",
"Southern",
"California",
"Megaregion",
".",
]
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# the trailing '-' may cause Assertion Error
sentence = "The 8- and 10-county definitions are not used for the greater Southern California Megaregion."
context = [word.text for word in custom_en_tokenizer(sentence)]
assert context == [
"The",
"8",
"-",
"and",
"10",
"-",
"county",
"definitions",
"are",
"not",
"used",
"for",
"the",
"greater",
"Southern",
"California",
"Megaregion",
".",
]
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
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def test_en_customized_tokenizer_handles_token_match(custom_en_tokenizer):
sentence = "The 8 and 10-county definitions a-b not used for the greater Southern California Megaregion."
context = [word.text for word in custom_en_tokenizer(sentence)]
assert context == [
"The",
"8",
"and",
"10",
"-",
"county",
"definitions",
"a-b",
"not",
"used",
"for",
"the",
"greater",
"Southern",
"California",
"Megaregion",
".",
]
def test_en_customized_tokenizer_handles_rules(custom_en_tokenizer):
sentence = "The 8 and 10-county definitions are not used for the greater Southern California Megaregion. :)"
context = [word.text for word in custom_en_tokenizer(sentence)]
assert context == [
"The",
"8",
"and",
"10",
"-",
"county",
"definitions",
"are",
"not",
"used",
"for",
"the",
"greater",
"Southern",
"California",
"Megaregion",
".",
":)",
]
def test_en_customized_tokenizer_handles_rules_property(custom_en_tokenizer):
sentence = "The 8 and 10-county definitions are not used for the greater Southern California Megaregion. :)"
rules = custom_en_tokenizer.rules
del rules[":)"]
custom_en_tokenizer.rules = rules
context = [word.text for word in custom_en_tokenizer(sentence)]
assert context == [
"The",
"8",
"and",
"10",
"-",
"county",
"definitions",
"are",
"not",
"used",
"for",
"the",
"greater",
"Southern",
"California",
"Megaregion",
".",
":",
")",
]