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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 | Samuel Kane |
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| Date | 3/20/19 |
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| GitHub username | SamuelLKane |
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| Website (optional) | samuel-kane.com |
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@ -5,9 +5,27 @@ from __future__ import unicode_literals
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ADVERBS_IRREG = {
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"best": ("well",),
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"better": ("well",),
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"closer": ("close",),
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"closest": ("close",),
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"deeper": ("deeply",),
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"earlier": ("early",),
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"earliest": ("early",),
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"farther": ("far",),
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"further": ("far",),
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"faster": ("fast",),
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"fastest": ("fast",),
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"harder": ("hard",),
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"hardest": ("hard",),
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"longer": ("long",),
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"longest": ("long",),
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"nearer": ("near",),
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"nearest": ("near",),
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"nigher": ("nigh",),
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"nighest": ("nigh",),
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"quicker": ("quick",),
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"quickest": ("quick",),
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"slower": ("slow",),
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"slowest": ("slowest",),
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"sooner": ("soon",),
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"soonest": ("soon",)
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}
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@ -124,3 +124,9 @@ def test_en_tokenizer_norm_exceptions(en_tokenizer, text, norms):
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def test_en_lex_attrs_norm_exceptions(en_tokenizer, text, norm):
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tokens = en_tokenizer(text)
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assert tokens[0].norm_ == norm
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@pytest.mark.parametrize("text", ["faster", "fastest", "better", "best"])
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def test_en_lemmatizer_handles_irreg_adverbs(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert tokens[0].lemma_ in ["fast", "well"]
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10
spacy/tests/regression/test_issue3447.py
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spacy/tests/regression/test_issue3447.py
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from spacy.util import decaying
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def test_decaying():
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sizes = decaying(10., 1., .5)
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size = next(sizes)
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assert size == 10.
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size = next(sizes)
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assert size == 10. - 0.5
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size = next(sizes)
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assert size == 10. - 0.5 - 0.5
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@ -131,6 +131,7 @@ cdef class Tokenizer:
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texts: A sequence of unicode texts.
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batch_size (int): Number of texts to accumulate in an internal buffer.
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Defaults to 1000.
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YIELDS (Doc): A sequence of Doc objects, in order.
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DOCS: https://spacy.io/api/tokenizer#pipe
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@ -507,13 +507,10 @@ def stepping(start, stop, steps):
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def decaying(start, stop, decay):
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"""Yield an infinite series of linearly decaying values."""
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def clip(value):
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return max(value, stop) if (start > stop) else min(value, stop)
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nr_upd = 1.0
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curr = float(start)
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while True:
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yield clip(start * 1.0 / (1.0 + decay * nr_upd))
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nr_upd += 1
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yield max(curr, stop)
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curr -= (decay)
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def minibatch_by_words(items, size, tuples=True, count_words=len):
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@ -64,7 +64,7 @@ Tokenize a stream of texts.
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| Name | Type | Description |
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| ------------ | ----- | -------------------------------------------------------- |
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| `texts` | - | A sequence of unicode texts. |
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| `batch_size` | int | The number of texts to accumulate in an internal buffer. |
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| `batch_size` | int | The number of texts to accumulate in an internal buffer. Defaults to `1000`.|
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| **YIELDS** | `Doc` | A sequence of Doc objects, in order. |
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## Tokenizer.find_infix {#find_infix tag="method"}
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@ -622,10 +622,10 @@ Yield an infinite series of linearly decaying values.
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> #### Example
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>
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> ```python
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> sizes = decaying(1., 10., 0.001)
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> assert next(sizes) == 1.
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> assert next(sizes) == 1. - 0.001
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> assert next(sizes) == 0.999 - 0.001
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> sizes = decaying(10., 1., 0.001)
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> assert next(sizes) == 10.
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> assert next(sizes) == 10. - 0.001
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> assert next(sizes) == 9.999 - 0.001
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> ```
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| Name | Type | Description |
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