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* adding enhancement #4074. * modified behavior to strictly require top level dictionary keys - issue #4074 * pass expected keys to error message and add links as expected top level key
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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 GmbH](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 | Jeno Pizarro |
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| Company name (if applicable) | IBM |
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| Title or role (if applicable) | Data Scientist and Software Developer |
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| Date | 3 August 2019 |
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| GitHub username | jenojp |
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| Website (optional) | https://www.linkedin.com/in/jenojp/ |
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@ -417,6 +417,10 @@ class Errors(object):
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"component matches the model being loaded.")
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E150 = ("The language of the `nlp` object and the `vocab` should be the same, "
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"but found '{nlp}' and '{vocab}' respectively.")
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E151 = ("Trying to call nlp.update without required annotation types. "
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"Expected top-level keys: {expected_keys}."
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" Got: {unexpected_keys}.")
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@add_codes
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class TempErrors(object):
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@ -445,6 +445,10 @@ class Language(object):
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if isinstance(doc, basestring_):
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doc = self.make_doc(doc)
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if not isinstance(gold, GoldParse):
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expected_keys = ("words", "tags", "heads", "deps", "entities", "cats", "links")
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unexpected_keys = [k for k in gold if k not in expected_keys]
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if unexpected_keys:
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raise ValueError(Errors.E151.format(unexpected_keys=unexpected_keys, expected_keys=expected_keys))
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gold = GoldParse(doc, **gold)
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doc_objs.append(doc)
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gold_objs.append(gold)
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@ -22,6 +22,7 @@ def nlp():
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def test_language_update(nlp):
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text = "hello world"
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annots = {"cats": {"POSITIVE": 1.0, "NEGATIVE": 0.0}}
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wrongkeyannots = {"LABEL": True}
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doc = Doc(nlp.vocab, words=text.split(" "))
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gold = GoldParse(doc, **annots)
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# Update with doc and gold objects
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nlp.update([doc], [])
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with pytest.raises(IndexError):
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nlp.update([], [gold])
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with pytest.raises(ValueError):
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nlp.update([text], [wrongkeyannots])
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def test_language_evaluate(nlp):
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