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Update imports
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@ -4,7 +4,7 @@ import sys
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import srsly
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import srsly
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from wasabi import Printer, MESSAGES
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from wasabi import Printer, MESSAGES
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from ..gold import GoldCorpus
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from ..gold import Corpus
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from ..syntax import nonproj
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from ..syntax import nonproj
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from ..util import load_model, get_lang_class
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from ..util import load_model, get_lang_class
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@ -68,7 +68,7 @@ def debug_data(
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loading_train_error_message = ""
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loading_train_error_message = ""
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loading_dev_error_message = ""
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loading_dev_error_message = ""
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with msg.loading("Loading corpus..."):
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with msg.loading("Loading corpus..."):
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corpus = GoldCorpus(train_path, dev_path)
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corpus = Corpus(train_path, dev_path)
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try:
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try:
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train_dataset = list(corpus.train_dataset(nlp))
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train_dataset = list(corpus.train_dataset(nlp))
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train_dataset_unpreprocessed = list(
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train_dataset_unpreprocessed = list(
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@ -1,7 +1,7 @@
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from timeit import default_timer as timer
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from timeit import default_timer as timer
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from wasabi import msg
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from wasabi import msg
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from ..gold import GoldCorpus
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from ..gold import Corpus
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from .. import util
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from .. import util
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from .. import displacy
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from .. import displacy
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@ -31,7 +31,7 @@ def evaluate(
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msg.fail("Evaluation data not found", data_path, exits=1)
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msg.fail("Evaluation data not found", data_path, exits=1)
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if displacy_path and not displacy_path.exists():
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if displacy_path and not displacy_path.exists():
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msg.fail("Visualization output directory not found", displacy_path, exits=1)
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msg.fail("Visualization output directory not found", displacy_path, exits=1)
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corpus = GoldCorpus(data_path, data_path)
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corpus = Corpus(data_path, data_path)
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if model.startswith("blank:"):
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if model.startswith("blank:"):
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nlp = util.get_lang_class(model.replace("blank:", ""))()
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nlp = util.get_lang_class(model.replace("blank:", ""))()
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else:
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else:
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