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https://github.com/gsi-upm/senpy
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@ -195,7 +195,7 @@ class Senpy(object):
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def convert_emotions(self, resp, plugins, params):
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"""
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Conversion of all emotions in a response.
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Conversion of all emotions in a response **in place**.
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In addition to converting from one model to another, it has
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to include the conversion plugin to the analysis list.
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Needless to say, this is far from an elegant solution, but it works.
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@ -220,7 +220,6 @@ class Senpy(object):
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e.parameters = params
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raise e
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newentries = []
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resp.analysis = set(resp.analysis)
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for i in resp.entries:
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if output == "full":
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newemotions = copy.deepcopy(i.emotions)
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@ -229,7 +228,7 @@ class Senpy(object):
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for j in i.emotions:
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plugname = j['prov:wasGeneratedBy']
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candidate = candidates[plugname]
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resp.analysis.add(candidate.id)
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resp.analysis.append(candidate.id)
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for k in candidate.convert(j, fromModel, toModel, params):
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k.prov__wasGeneratedBy = candidate.id
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if output == 'nested':
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@ -238,6 +237,7 @@ class Senpy(object):
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i.emotions = newemotions
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newentries.append(i)
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resp.entries = newentries
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resp.analysis = list(set(resp.analysis))
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@property
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def default_plugin(self):
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@ -205,6 +205,7 @@ class ExtensionsTest(TestCase):
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[plugin, ],
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params)
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assert len(r3.entries[0].emotions) == 1
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r3.jsonld()
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# def test_async_plugin(self):
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# """ We should accept multiprocessing plugins with async=False"""
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