2017-04-15 10:07:02 +00:00
|
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|
# coding: utf8
|
2019-03-08 10:42:26 +00:00
|
|
|
"""
|
|
|
|
Helpers for Python and platform compatibility. To distinguish them from
|
|
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|
the builtin functions, replacement functions are suffixed with an underscore,
|
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|
e.g. `unicode_`.
|
|
|
|
|
|
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|
DOCS: https://spacy.io/api/top-level#compat
|
|
|
|
"""
|
2017-04-15 10:07:02 +00:00
|
|
|
from __future__ import unicode_literals
|
|
|
|
|
💫 Port master changes over to develop (#2979)
* Create aryaprabhudesai.md (#2681)
* Update _install.jade (#2688)
Typo fix: "models" -> "model"
* Add FAC to spacy.explain (resolves #2706)
* Remove docstrings for deprecated arguments (see #2703)
* When calling getoption() in conftest.py, pass a default option (#2709)
* When calling getoption() in conftest.py, pass a default option
This is necessary to allow testing an installed spacy by running:
pytest --pyargs spacy
* Add contributor agreement
* update bengali token rules for hyphen and digits (#2731)
* Less norm computations in token similarity (#2730)
* Less norm computations in token similarity
* Contributor agreement
* Remove ')' for clarity (#2737)
Sorry, don't mean to be nitpicky, I just noticed this when going through the CLI and thought it was a quick fix. That said, if this was intention than please let me know.
* added contributor agreement for mbkupfer (#2738)
* Basic support for Telugu language (#2751)
* Lex _attrs for polish language (#2750)
* Signed spaCy contributor agreement
* Added polish version of english lex_attrs
* Introduces a bulk merge function, in order to solve issue #653 (#2696)
* Fix comment
* Introduce bulk merge to increase performance on many span merges
* Sign contributor agreement
* Implement pull request suggestions
* Describe converters more explicitly (see #2643)
* Add multi-threading note to Language.pipe (resolves #2582) [ci skip]
* Fix formatting
* Fix dependency scheme docs (closes #2705) [ci skip]
* Don't set stop word in example (closes #2657) [ci skip]
* Add words to portuguese language _num_words (#2759)
* Add words to portuguese language _num_words
* Add words to portuguese language _num_words
* Update Indonesian model (#2752)
* adding e-KTP in tokenizer exceptions list
* add exception token
* removing lines with containing space as it won't matter since we use .split() method in the end, added new tokens in exception
* add tokenizer exceptions list
* combining base_norms with norm_exceptions
* adding norm_exception
* fix double key in lemmatizer
* remove unused import on punctuation.py
* reformat stop_words to reduce number of lines, improve readibility
* updating tokenizer exception
* implement is_currency for lang/id
* adding orth_first_upper in tokenizer_exceptions
* update the norm_exception list
* remove bunch of abbreviations
* adding contributors file
* Fixed spaCy+Keras example (#2763)
* bug fixes in keras example
* created contributor agreement
* Adding French hyphenated first name (#2786)
* Fix typo (closes #2784)
* Fix typo (#2795) [ci skip]
Fixed typo on line 6 "regcognizer --> recognizer"
* Adding basic support for Sinhala language. (#2788)
* adding Sinhala language package, stop words, examples and lex_attrs.
* Adding contributor agreement
* Updating contributor agreement
* Also include lowercase norm exceptions
* Fix error (#2802)
* Fix error
ValueError: cannot resize an array that references or is referenced
by another array in this way. Use the resize function
* added spaCy Contributor Agreement
* Add charlax's contributor agreement (#2805)
* agreement of contributor, may I introduce a tiny pl languge contribution (#2799)
* Contributors agreement
* Contributors agreement
* Contributors agreement
* Add jupyter=True to displacy.render in documentation (#2806)
* Revert "Also include lowercase norm exceptions"
This reverts commit 70f4e8adf37cfcfab60be2b97d6deae949b30e9e.
* Remove deprecated encoding argument to msgpack
* Set up dependency tree pattern matching skeleton (#2732)
* Fix bug when too many entity types. Fixes #2800
* Fix Python 2 test failure
* Require older msgpack-numpy
* Restore encoding arg on msgpack-numpy
* Try to fix version pin for msgpack-numpy
* Update Portuguese Language (#2790)
* Add words to portuguese language _num_words
* Add words to portuguese language _num_words
* Portuguese - Add/remove stopwords, fix tokenizer, add currency symbols
* Extended punctuation and norm_exceptions in the Portuguese language
* Correct error in spacy universe docs concerning spacy-lookup (#2814)
* Update Keras Example for (Parikh et al, 2016) implementation (#2803)
* bug fixes in keras example
* created contributor agreement
* baseline for Parikh model
* initial version of parikh 2016 implemented
* tested asymmetric models
* fixed grevious error in normalization
* use standard SNLI test file
* begin to rework parikh example
* initial version of running example
* start to document the new version
* start to document the new version
* Update Decompositional Attention.ipynb
* fixed calls to similarity
* updated the README
* import sys package duh
* simplified indexing on mapping word to IDs
* stupid python indent error
* added code from https://github.com/tensorflow/tensorflow/issues/3388 for tf bug workaround
* Fix typo (closes #2815) [ci skip]
* Update regex version dependency
* Set version to 2.0.13.dev3
* Skip seemingly problematic test
* Remove problematic test
* Try previous version of regex
* Revert "Remove problematic test"
This reverts commit bdebbef45552d698d390aa430b527ee27830f11b.
* Unskip test
* Try older version of regex
* 💫 Update training examples and use minibatching (#2830)
<!--- Provide a general summary of your changes in the title. -->
## Description
Update the training examples in `/examples/training` to show usage of spaCy's `minibatch` and `compounding` helpers ([see here](https://spacy.io/usage/training#tips-batch-size) for details). The lack of batching in the examples has caused some confusion in the past, especially for beginners who would copy-paste the examples, update them with large training sets and experienced slow and unsatisfying results.
### Types of change
enhancements
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Visual C++ link updated (#2842) (closes #2841) [ci skip]
* New landing page
* Add contribution agreement
* Correcting lang/ru/examples.py (#2845)
* Correct some grammatical inaccuracies in lang\ru\examples.py; filled Contributor Agreement
* Correct some grammatical inaccuracies in lang\ru\examples.py
* Move contributor agreement to separate file
* Set version to 2.0.13.dev4
* Add Persian(Farsi) language support (#2797)
* Also include lowercase norm exceptions
* Remove in favour of https://github.com/explosion/spaCy/graphs/contributors
* Rule-based French Lemmatizer (#2818)
<!--- Provide a general summary of your changes in the title. -->
## Description
<!--- Use this section to describe your changes. If your changes required
testing, include information about the testing environment and the tests you
ran. If your test fixes a bug reported in an issue, don't forget to include the
issue number. If your PR is still a work in progress, that's totally fine – just
include a note to let us know. -->
Add a rule-based French Lemmatizer following the english one and the excellent PR for [greek language optimizations](https://github.com/explosion/spaCy/pull/2558) to adapt the Lemmatizer class.
### Types of change
<!-- What type of change does your PR cover? Is it a bug fix, an enhancement
or new feature, or a change to the documentation? -->
- Lemma dictionary used can be found [here](http://infolingu.univ-mlv.fr/DonneesLinguistiques/Dictionnaires/telechargement.html), I used the XML version.
- Add several files containing exhaustive list of words for each part of speech
- Add some lemma rules
- Add POS that are not checked in the standard Lemmatizer, i.e PRON, DET, ADV and AUX
- Modify the Lemmatizer class to check in lookup table as a last resort if POS not mentionned
- Modify the lemmatize function to check in lookup table as a last resort
- Init files are updated so the model can support all the functionalities mentioned above
- Add words to tokenizer_exceptions_list.py in respect to regex used in tokenizer_exceptions.py
## 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.
- [X] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Set version to 2.0.13
* Fix formatting and consistency
* Update docs for new version [ci skip]
* Increment version [ci skip]
* Add info on wheels [ci skip]
* Adding "This is a sentence" example to Sinhala (#2846)
* Add wheels badge
* Update badge [ci skip]
* Update README.rst [ci skip]
* Update murmurhash pin
* Increment version to 2.0.14.dev0
* Update GPU docs for v2.0.14
* Add wheel to setup_requires
* Import prefer_gpu and require_gpu functions from Thinc
* Add tests for prefer_gpu() and require_gpu()
* Update requirements and setup.py
* Workaround bug in thinc require_gpu
* Set version to v2.0.14
* Update push-tag script
* Unhack prefer_gpu
* Require thinc 6.10.6
* Update prefer_gpu and require_gpu docs [ci skip]
* Fix specifiers for GPU
* Set version to 2.0.14.dev1
* Set version to 2.0.14
* Update Thinc version pin
* Increment version
* Fix msgpack-numpy version pin
* Increment version
* Update version to 2.0.16
* Update version [ci skip]
* Redundant ')' in the Stop words' example (#2856)
<!--- Provide a general summary of your changes in the title. -->
## Description
<!--- Use this section to describe your changes. If your changes required
testing, include information about the testing environment and the tests you
ran. If your test fixes a bug reported in an issue, don't forget to include the
issue number. If your PR is still a work in progress, that's totally fine – just
include a note to let us know. -->
### Types of change
<!-- What type of change does your PR cover? Is it a bug fix, an enhancement
or new feature, or a change to the documentation? -->
## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [ ] I have submitted the spaCy Contributor Agreement.
- [ ] 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.
* Documentation improvement regarding joblib and SO (#2867)
Some documentation improvements
## Description
1. Fixed the dead URL to joblib
2. Fixed Stack Overflow brand name (with space)
### Types of change
Documentation
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* raise error when setting overlapping entities as doc.ents (#2880)
* Fix out-of-bounds access in NER training
The helper method state.B(1) gets the index of the first token of the
buffer, or -1 if no such token exists. Normally this is safe because we
pass this to functions like state.safe_get(), which returns an empty
token. Here we used it directly as an array index, which is not okay!
This error may have been the cause of out-of-bounds access errors during
training. Similar errors may still be around, so much be hunted down.
Hunting this one down took a long time...I printed out values across
training runs and diffed, looking for points of divergence between
runs, when no randomness should be allowed.
* Change PyThaiNLP Url (#2876)
* Fix missing comma
* Add example showing a fix-up rule for space entities
* Set version to 2.0.17.dev0
* Update regex version
* Revert "Update regex version"
This reverts commit 62358dd867d15bc6a475942dff34effba69dd70a.
* Try setting older regex version, to align with conda
* Set version to 2.0.17
* Add spacy-js to universe [ci-skip]
* Add spacy-raspberry to universe (closes #2889)
* Add script to validate universe json [ci skip]
* Removed space in docs + added contributor indo (#2909)
* - removed unneeded space in documentation
* - added contributor info
* Allow input text of length up to max_length, inclusive (#2922)
* Include universe spec for spacy-wordnet component (#2919)
* feat: include universe spec for spacy-wordnet component
* chore: include spaCy contributor agreement
* Minor formatting changes [ci skip]
* Fix image [ci skip]
Twitter URL doesn't work on live site
* Check if the word is in one of the regular lists specific to each POS (#2886)
* 💫 Create random IDs for SVGs to prevent ID clashes (#2927)
Resolves #2924.
## Description
Fixes problem where multiple visualizations in Jupyter notebooks would have clashing arc IDs, resulting in weirdly positioned arc labels. Generating a random ID prefix so even identical parses won't receive the same IDs for consistency (even if effect of ID clash isn't noticable here.)
### Types of change
bug fix
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Fix typo [ci skip]
* fixes symbolic link on py3 and windows (#2949)
* fixes symbolic link on py3 and windows
during setup of spacy using command
python -m spacy link en_core_web_sm en
closes #2948
* Update spacy/compat.py
Co-Authored-By: cicorias <cicorias@users.noreply.github.com>
* Fix formatting
* Update universe [ci skip]
* Catalan Language Support (#2940)
* Catalan language Support
* Ddding Catalan to documentation
* Sort languages alphabetically [ci skip]
* Update tests for pytest 4.x (#2965)
<!--- Provide a general summary of your changes in the title. -->
## Description
- [x] Replace marks in params for pytest 4.0 compat ([see here](https://docs.pytest.org/en/latest/deprecations.html#marks-in-pytest-mark-parametrize))
- [x] Un-xfail passing tests (some fixes in a recent update resolved a bunch of issues, but tests were apparently never updated here)
### Types of change
<!-- What type of change does your PR cover? Is it a bug fix, an enhancement
or new feature, or a change to the documentation? -->
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
* Fix regex pin to harmonize with conda (#2964)
* Update README.rst
* Fix bug where Vocab.prune_vector did not use 'batch_size' (#2977)
Fixes #2976
* Fix typo
* Fix typo
* Remove duplicate file
* Require thinc 7.0.0.dev2
Fixes bug in gpu_ops that would use cupy instead of numpy on CPU
* Add missing import
* Fix error IDs
* Fix tests
2018-11-29 15:30:29 +00:00
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import os
|
2017-04-15 10:07:02 +00:00
|
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|
import sys
|
2017-07-25 16:57:59 +00:00
|
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|
import itertools
|
Fix tokenizer on Python2.7 (#3460)
spaCy v2.1 switched to the built-in re module, where v2.0 had been using
the third-party regex library. When the tokenizer was deserialized on
Python2.7, the `re.compile()` function was called with expressions that
featured escaped unicode codepoints that were not in Python2.7's unicode
database.
Problems occurred when we had a range between two of these unknown
codepoints, like this:
```
'[\\uAA77-\\uAA79]'
```
On Python2.7, the unknown codepoints are not unescaped correctly,
resulting in arbitrary out-of-range characters being matched by the
expression.
This problem does not occur if we instead have a range between two
unicode literals, rather than the escape sequences. To fix the bug, we
therefore add a new compat function that unescapes unicode sequences
using the `ast.literal_eval()` function. Care is taken to ensure we
do not also escape non-unicode sequences.
Closes #3356.
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2019-03-22 12:42:47 +00:00
|
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|
import ast
|
2017-04-15 10:07:02 +00:00
|
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|
|
2017-05-31 13:25:21 +00:00
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|
from thinc.neural.util import copy_array
|
2017-05-31 12:14:29 +00:00
|
|
|
|
2017-04-15 10:07:02 +00:00
|
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|
try:
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import cPickle as pickle
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except ImportError:
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import pickle
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|
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|
|
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|
try:
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import copy_reg
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|
except ImportError:
|
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|
import copyreg as copy_reg
|
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|
2017-05-18 12:12:45 +00:00
|
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|
try:
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from cupy.cuda.stream import Stream as CudaStream
|
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|
except ImportError:
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|
CudaStream = None
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|
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|
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|
try:
|
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import cupy
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except ImportError:
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cupy = None
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2019-10-07 15:22:09 +00:00
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try: # Python 3.8
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import importlib.metadata as importlib_metadata
|
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except ImportError:
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import importlib_metadata # noqa: F401
|
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|
2017-10-27 10:23:49 +00:00
|
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|
try:
|
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->
## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)
Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.
At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.
### Types of change
enhancement, code style
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
|
|
|
from thinc.neural.optimizers import Optimizer # noqa: F401
|
2017-10-27 10:23:49 +00:00
|
|
|
except ImportError:
|
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->
## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)
Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.
At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.
### Types of change
enhancement, code style
## 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.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-11-30 16:03:03 +00:00
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|
from thinc.neural.optimizers import Adam as Optimizer # noqa: F401
|
2017-05-18 12:12:45 +00:00
|
|
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|
2017-05-18 12:12:31 +00:00
|
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|
pickle = pickle
|
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|
copy_reg = copy_reg
|
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|
CudaStream = CudaStream
|
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|
cupy = cupy
|
2017-05-31 13:25:21 +00:00
|
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|
copy_array = copy_array
|
2018-11-26 17:54:20 +00:00
|
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|
izip = getattr(itertools, "izip", zip)
|
2017-04-15 10:07:02 +00:00
|
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|
2018-11-26 17:54:20 +00:00
|
|
|
is_windows = sys.platform.startswith("win")
|
|
|
|
is_linux = sys.platform.startswith("linux")
|
|
|
|
is_osx = sys.platform == "darwin"
|
2017-04-15 10:07:02 +00:00
|
|
|
|
2018-02-18 12:29:56 +00:00
|
|
|
# See: https://github.com/benjaminp/six/blob/master/six.py
|
|
|
|
is_python2 = sys.version_info[0] == 2
|
|
|
|
is_python3 = sys.version_info[0] == 3
|
|
|
|
is_python_pre_3_5 = is_python2 or (is_python3 and sys.version_info[1] < 5)
|
2017-04-15 10:07:02 +00:00
|
|
|
|
|
|
|
if is_python2:
|
|
|
|
bytes_ = str
|
2017-11-20 13:03:42 +00:00
|
|
|
unicode_ = unicode # noqa: F821
|
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|
basestring_ = basestring # noqa: F821
|
|
|
|
input_ = raw_input # noqa: F821
|
2018-11-26 17:54:20 +00:00
|
|
|
path2str = lambda path: str(path).decode("utf8")
|
2017-04-15 10:07:02 +00:00
|
|
|
|
|
|
|
elif is_python3:
|
|
|
|
bytes_ = bytes
|
|
|
|
unicode_ = str
|
|
|
|
basestring_ = str
|
|
|
|
input_ = input
|
2017-05-07 21:24:56 +00:00
|
|
|
path2str = lambda path: str(path)
|
2017-04-15 10:07:02 +00:00
|
|
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|
2017-07-31 23:11:35 +00:00
|
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|
def b_to_str(b_str):
|
2019-03-08 10:42:26 +00:00
|
|
|
"""Convert a bytes object to a string.
|
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|
b_str (bytes): The object to convert.
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|
RETURNS (unicode): The converted string.
|
|
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|
"""
|
2017-07-31 23:11:35 +00:00
|
|
|
if is_python2:
|
|
|
|
return b_str
|
2019-03-08 10:42:26 +00:00
|
|
|
# Important: if no encoding is set, string becomes "b'...'"
|
2018-11-26 17:54:20 +00:00
|
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|
return str(b_str, encoding="utf8")
|
2017-07-31 23:11:35 +00:00
|
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2017-04-15 10:07:02 +00:00
|
|
|
def symlink_to(orig, dest):
|
2019-03-08 10:42:26 +00:00
|
|
|
"""Create a symlink. Used for model shortcut links.
|
|
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|
orig (unicode / Path): The origin path.
|
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|
dest (unicode / Path): The destination path of the symlink.
|
|
|
|
"""
|
2018-11-26 17:54:27 +00:00
|
|
|
if is_windows:
|
2017-04-15 10:07:02 +00:00
|
|
|
import subprocess
|
2018-11-26 17:54:20 +00:00
|
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2019-04-16 09:58:31 +00:00
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subprocess.check_call(
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["mklink", "/d", path2str(orig), path2str(dest)], shell=True
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)
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2017-04-15 10:17:27 +00:00
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else:
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orig.symlink_to(dest)
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2017-04-15 10:07:02 +00:00
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2018-11-26 17:54:27 +00:00
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def symlink_remove(link):
|
2019-03-08 10:42:26 +00:00
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"""Remove a symlink. Used for model shortcut links.
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link (unicode / Path): The path to the symlink.
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"""
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2018-11-26 17:54:27 +00:00
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# https://stackoverflow.com/q/26554135/6400719
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if os.path.isdir(path2str(link)) and is_windows:
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# this should only be on Py2.7 and windows
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os.rmdir(path2str(link))
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else:
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os.unlink(path2str(link))
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2017-04-15 10:07:02 +00:00
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def is_config(python2=None, python3=None, windows=None, linux=None, osx=None):
|
2019-03-08 10:42:26 +00:00
|
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|
"""Check if a specific configuration of Python version and operating system
|
|
|
|
matches the user's setup. Mostly used to display targeted error messages.
|
|
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python2 (bool): spaCy is executed with Python 2.x.
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python3 (bool): spaCy is executed with Python 3.x.
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windows (bool): spaCy is executed on Windows.
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linux (bool): spaCy is executed on Linux.
|
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osx (bool): spaCy is executed on OS X or macOS.
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RETURNS (bool): Whether the configuration matches the user's platform.
|
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DOCS: https://spacy.io/api/top-level#compat.is_config
|
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"""
|
2018-11-26 17:54:20 +00:00
|
|
|
return (
|
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python2 in (None, is_python2)
|
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and python3 in (None, is_python3)
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and windows in (None, is_windows)
|
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|
and linux in (None, is_linux)
|
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|
and osx in (None, is_osx)
|
|
|
|
)
|
2017-05-31 12:14:29 +00:00
|
|
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|
2017-08-18 19:56:47 +00:00
|
|
|
def import_file(name, loc):
|
2019-03-08 10:42:26 +00:00
|
|
|
"""Import module from a file. Used to load models from a directory.
|
|
|
|
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|
|
name (unicode): Name of module to load.
|
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|
|
loc (unicode / Path): Path to the file.
|
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|
|
RETURNS: The loaded module.
|
|
|
|
"""
|
|
|
|
loc = path2str(loc)
|
2018-02-09 15:03:35 +00:00
|
|
|
if is_python_pre_3_5:
|
|
|
|
import imp
|
2018-11-26 17:54:20 +00:00
|
|
|
|
2017-08-18 19:56:47 +00:00
|
|
|
return imp.load_source(name, loc)
|
|
|
|
else:
|
2018-02-09 15:03:35 +00:00
|
|
|
import importlib.util
|
2018-11-26 17:54:20 +00:00
|
|
|
|
2017-08-19 20:32:07 +00:00
|
|
|
spec = importlib.util.spec_from_file_location(name, str(loc))
|
2017-08-18 19:56:47 +00:00
|
|
|
module = importlib.util.module_from_spec(spec)
|
|
|
|
spec.loader.exec_module(module)
|
|
|
|
return module
|
Fix tokenizer on Python2.7 (#3460)
spaCy v2.1 switched to the built-in re module, where v2.0 had been using
the third-party regex library. When the tokenizer was deserialized on
Python2.7, the `re.compile()` function was called with expressions that
featured escaped unicode codepoints that were not in Python2.7's unicode
database.
Problems occurred when we had a range between two of these unknown
codepoints, like this:
```
'[\\uAA77-\\uAA79]'
```
On Python2.7, the unknown codepoints are not unescaped correctly,
resulting in arbitrary out-of-range characters being matched by the
expression.
This problem does not occur if we instead have a range between two
unicode literals, rather than the escape sequences. To fix the bug, we
therefore add a new compat function that unescapes unicode sequences
using the `ast.literal_eval()` function. Care is taken to ensure we
do not also escape non-unicode sequences.
Closes #3356.
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2019-03-22 12:42:47 +00:00
|
|
|
|
|
|
|
|
|
|
|
def unescape_unicode(string):
|
|
|
|
"""Python2.7's re module chokes when compiling patterns that have ranges
|
|
|
|
between escaped unicode codepoints if the two codepoints are unrecognised
|
|
|
|
in the unicode database. For instance:
|
|
|
|
|
|
|
|
re.compile('[\\uAA77-\\uAA79]').findall("hello")
|
|
|
|
|
|
|
|
Ends up matching every character (on Python 2). This problem doesn't occur
|
|
|
|
if we're dealing with unicode literals.
|
|
|
|
"""
|
|
|
|
if string is None:
|
|
|
|
return string
|
|
|
|
# We only want to unescape the unicode, so we first must protect the other
|
|
|
|
# backslashes.
|
|
|
|
string = string.replace("\\", "\\\\")
|
|
|
|
# Now we remove that protection for the unicode.
|
|
|
|
string = string.replace("\\\\u", "\\u")
|
|
|
|
string = string.replace("\\\\U", "\\U")
|
|
|
|
# Now we unescape by evaling the string with the AST. This can't execute
|
|
|
|
# code -- it only does the representational level.
|
|
|
|
return ast.literal_eval("u'''" + string + "'''")
|