From 79043f3dd75b6cbf04f3854f1e38f83be6302ee6 Mon Sep 17 00:00:00 2001
From: Stephan Porada <sporada@uni-bielefeld.de>
Date: Wed, 12 Feb 2020 14:25:08 +0100
Subject: [PATCH] Fix last errors

---
 nlp       | 2 +-
 spacy_nlp | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/nlp b/nlp
index 482ca7a..3866106 100755
--- a/nlp
+++ b/nlp
@@ -92,7 +92,7 @@ class NLPWorkflow(WorkflowRunner):
             max(1, int(self.n_cores / len(self.jobs)))
         )
         for index, job in enumerate(self.jobs):
-            cmd = 'spacy_nlp -l "{}" "{}" "{}" "{}"'.format(
+            cmd = 'spacy_nlp -l "{}" "{}" "{}" {}'.format(
                 self.lang,
                 job['path'],
                 os.path.join(job['output_dir'], job['name'] + '.vrt'),
diff --git a/spacy_nlp b/spacy_nlp
index d65dd81..a8863ec 100755
--- a/spacy_nlp
+++ b/spacy_nlp
@@ -42,7 +42,7 @@ if args.check_encoding:
         bytes = input_file.read()
         encoding = chardet.detect(bytes)['encoding']
 else:
-    encoding='utf-8'
+    encoding = 'utf-8'
 # Read text from the input file and if neccessary split it into parts with a
 # length of less than 1 million characters.
 with open(args.i, encoding=encoding) as input_file: