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allow_pickle=True #16

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10 changes: 5 additions & 5 deletions lang2vec/lang2vec.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ def available_uriel_languages():
for feature_set in ["fam"]:
filename, source, prefix = FEATURE_SETS_DICT[feature_set]
filename = pkg_resources.resource_filename(__name__, os.path.join('data', filename))
feature_database = np.load(filename)
feature_database = np.load(filename, allow_pickle=True)
mask = np.all(feature_database["data"] != -1.0, axis=0)
langs = [feature_database["langs"][i] for i,m in enumerate(mask) if np.sum(m)>0]
for l in langs:
Expand Down Expand Up @@ -138,10 +138,10 @@ def get_feature_index(feature_name, feature_database):
return np.where(feature_database["feats"] == feature_name)[0][0]

def get_id_set(lang_codes):
#feature_database = np.load("family_features.npz")
#feature_database = np.load("family_features.npz", allow_pickle=True)
filename = "family_features.npz"
filename = pkg_resources.resource_filename(__name__, os.path.join('data', filename))
feature_database = np.load(filename)
feature_database = np.load(filename, allow_pickle=True)
lang_codes = [ get_language_code(l, feature_database) for l in lang_codes ]
all_languages = list(feature_database["langs"])
feature_names = [ "ID_" + l.upper() for l in all_languages ]
Expand All @@ -154,7 +154,7 @@ def get_id_set(lang_codes):
def get_learned_set(lang_codes):
filename = "learned.npy"
filename = pkg_resources.resource_filename(__name__, os.path.join('data', filename))
feature_database = np.load(filename, encoding="latin1").item()
feature_database = np.load(filename, encoding="latin1", allow_pickle=True).item()
lang_codes = [ get_learned_language_code(l, feature_database) for l in lang_codes ]
feature_names = [ "LEARNED_%03d" % i for i in range(512) ]
feature_values = np.ones((len(lang_codes),512))*(-1)
Expand All @@ -178,7 +178,7 @@ def get_named_set(lang_codes, feature_set):

filename, source, prefix = FEATURE_SETS_DICT[feature_set]
filename = pkg_resources.resource_filename(__name__, os.path.join('data', filename))
feature_database = np.load(filename)
feature_database = np.load(filename, allow_pickle=True)
lang_codes = [ get_language_code(l, feature_database) for l in lang_codes ]
lang_indices = [ get_language_index(l, feature_database) for l in lang_codes ]
feature_names = get_feature_names(prefix, feature_database)
Expand Down