From a3d0df44e1530803716abe4d2b66327eefdaf703 Mon Sep 17 00:00:00 2001
From: Yigit Sever
Date: Wed, 25 Sep 2019 16:10:30 +0300
Subject: Fix argument typo

---
 sentence_embedding.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/sentence_embedding.py b/sentence_embedding.py
index 0cd5361..d312de2 100644
--- a/sentence_embedding.py
+++ b/sentence_embedding.py
@@ -12,12 +12,12 @@ from Wasserstein_Distance import load_embeddings, process_corpus
 
 def main(args):
 
-    run_method = list()
+    run_paradigm = list()
 
-    if input_paradigm == "all":
+    if args.paradigm == "all":
         run_paradigm.extend("matching", "retrieval")
     else:
-        run_paradigm.append(input_paradigm)
+        run_paradigm.append(args.paradigm)
 
     source_lang = args.source_lang
     target_lang = args.target_lang
@@ -96,7 +96,7 @@ def main(args):
     cost_matrix = np.matmul(S_emb_source, S_emb_target_transpose)
 
     for paradigm in run_paradigm:
-        if paradigm == 'matching':
+        if paradigm == "matching":
 
             cost_matrix = cost_matrix * -1000
             row_ind, col_ind, a = lapjv(cost_matrix, verbose=False)
@@ -121,9 +121,11 @@ def main(args):
                 writer = csv.writer(f)
                 writer.writerow(fields)
 
-        if paradigm == 'retrieval':
+        if paradigm == "retrieval":
 
-            hit_at_one = len([x for x, y in enumerate(cost_matrix.argmax(axis=1)) if x == y])
+            hit_at_one = len(
+                [x for x, y in enumerate(cost_matrix.argmax(axis=1)) if x == y]
+            )
             percentage = hit_at_one / instances * 100
 
             if not batch:
-- 
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