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Fix Issue 1622
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# spaCy contributor agreement
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This spaCy Contributor Agreement (**"SCA"**) is based on the
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[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
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The SCA applies to any contribution that you make to any product or project
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managed by us (the **"project"**), and sets out the intellectual property rights
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you grant to us in the contributed materials. The term **"us"** shall mean
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[ExplosionAI UG (haftungsbeschränkt)](https://explosion.ai/legal). The term
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**"you"** shall mean the person or entity identified below.
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If you agree to be bound by these terms, fill in the information requested
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below and include the filled-in version with your first pull request, under the
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folder [`.github/contributors/`](/.github/contributors/). The name of the file
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should be your GitHub username, with the extension `.md`. For example, the user
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example_user would create the file `.github/contributors/example_user.md`.
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Read this agreement carefully before signing. These terms and conditions
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constitute a binding legal agreement.
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## Contributor Agreement
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1. The term "contribution" or "contributed materials" means any source code,
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object code, patch, tool, sample, graphic, specification, manual,
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documentation, or any other material posted or submitted by you to the project.
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2. With respect to any worldwide copyrights, or copyright applications and
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registrations, in your contribution:
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* you hereby assign to us joint ownership, and to the extent that such
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assignment is or becomes invalid, ineffective or unenforceable, you hereby
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grant to us a perpetual, irrevocable, non-exclusive, worldwide, no-charge,
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royalty-free, unrestricted license to exercise all rights under those
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copyrights. This includes, at our option, the right to sublicense these same
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rights to third parties through multiple levels of sublicensees or other
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licensing arrangements;
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* you agree that each of us can do all things in relation to your
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contribution as if each of us were the sole owners, and if one of us makes
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a derivative work of your contribution, the one who makes the derivative
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work (or has it made will be the sole owner of that derivative work;
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* you agree that you will not assert any moral rights in your contribution
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against us, our licensees or transferees;
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* you agree that we may register a copyright in your contribution and
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exercise all ownership rights associated with it; and
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* you agree that neither of us has any duty to consult with, obtain the
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consent of, pay or render an accounting to the other for any use or
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distribution of your contribution.
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3. With respect to any patents you own, or that you can license without payment
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to any third party, you hereby grant to us a perpetual, irrevocable,
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non-exclusive, worldwide, no-charge, royalty-free license to:
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* make, have made, use, sell, offer to sell, import, and otherwise transfer
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your contribution in whole or in part, alone or in combination with or
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included in any product, work or materials arising out of the project to
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which your contribution was submitted, and
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* at our option, to sublicense these same rights to third parties through
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multiple levels of sublicensees or other licensing arrangements.
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4. Except as set out above, you keep all right, title, and interest in your
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contribution. The rights that you grant to us under these terms are effective
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on the date you first submitted a contribution to us, even if your submission
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took place before the date you sign these terms.
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5. You covenant, represent, warrant and agree that:
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* Each contribution that you submit is and shall be an original work of
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authorship and you can legally grant the rights set out in this SCA;
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* to the best of your knowledge, each contribution will not violate any
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third party's copyrights, trademarks, patents, or other intellectual
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property rights; and
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* each contribution shall be in compliance with U.S. export control laws and
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other applicable export and import laws. You agree to notify us if you
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become aware of any circumstance which would make any of the foregoing
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representations inaccurate in any respect. We may publicly disclose your
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participation in the project, including the fact that you have signed the SCA.
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6. This SCA is governed by the laws of the State of California and applicable
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U.S. Federal law. Any choice of law rules will not apply.
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7. Please place an “x” on one of the applicable statement below. Please do NOT
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mark both statements:
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* [X] I am signing on behalf of myself as an individual and no other person
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or entity, including my employer, has or will have rights with respect to my
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contributions.
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* [ ] I am signing on behalf of my employer or a legal entity and I have the
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actual authority to contractually bind that entity.
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## Contributor Details
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| Field | Entry |
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|------------------------------- | -------------------- |
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| Name | Isaac Sijaranamual |
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| Company name (if applicable) | - |
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| Title or role (if applicable) | - |
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| Date | 2017-12-10 |
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| GitHub username | IsaacHaze |
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| Website (optional) | - |
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@ -3,7 +3,6 @@ from __future__ import unicode_literals, division, print_function
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import plac
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from pathlib import Path
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import dill
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import tqdm
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from thinc.neural._classes.model import Model
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from timeit import default_timer as timer
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@ -165,12 +164,9 @@ def train(cmd, lang, output_dir, train_data, dev_data, n_iter=30, n_sents=0,
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gpu_wps=gpu_wps)
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finally:
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print("Saving model...")
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try:
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with (output_path / 'model-final.pickle').open('wb') as file_:
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with nlp.use_params(optimizer.averages):
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dill.dump(nlp, file_, -1)
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except:
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print("Error saving model")
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with nlp.use_params(optimizer.averages):
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final_model_path = output_path / 'model-final'
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nlp.to_disk(final_model_path)
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def _render_parses(i, to_render):
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@ -0,0 +1,89 @@
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# coding: utf-8
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from __future__ import unicode_literals
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import json
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from tempfile import NamedTemporaryFile
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from ...cli.train import train
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def test_cli_trained_model_can_be_saved(tmpdir):
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cmd = None
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lang = 'nl'
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output_dir = str(tmpdir)
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train_file = NamedTemporaryFile('wb', dir=output_dir, delete=False)
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train_corpus = [
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{
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"id": "identifier_0",
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"paragraphs": [
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{
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"raw": "Jan houdt van Marie.\n",
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"sentences": [
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{
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"tokens": [
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{
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"id": 0,
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"dep": "nsubj",
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"head": 1,
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"tag": "NOUN",
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"orth": "Jan",
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"ner": "B-PER"
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},
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{
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"id": 1,
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"dep": "ROOT",
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"head": 0,
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"tag": "VERB",
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"orth": "houdt",
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"ner": "O"
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},
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{
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"id": 2,
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"dep": "case",
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"head": 1,
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"tag": "ADP",
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"orth": "van",
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"ner": "O"
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},
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{
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"id": 3,
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"dep": "obj",
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"head": -2,
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"tag": "NOUN",
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"orth": "Marie",
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"ner": "B-PER"
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},
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{
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"id": 4,
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"dep": "punct",
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"head": -3,
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"tag": "PUNCT",
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"orth": ".",
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"ner": "O"
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},
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{
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"id": 5,
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"dep": "",
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"head": -1,
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"tag": "SPACE",
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"orth": "\n",
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"ner": "O"
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}
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],
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"brackets": []
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}
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]
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}
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]
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}
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]
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train_file.write(json.dumps(train_corpus).encode('utf-8'))
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train_file.close()
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train_data = train_file.name
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dev_data = train_data
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# spacy train -n 1 -g -1 nl output_nl training_corpus.json training \
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# corpus.json
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train(cmd, lang, output_dir, train_data, dev_data, n_iter=1)
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assert True
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