Format code with black

benchmark.py

@@ -33,7 +33,9 @@ print(
 )
 
 
-classifier = gptc.Classifier(gptc.compile(raw_model, max_ngram_length), max_ngram_length)
+classifier = gptc.Classifier(
+    gptc.compile(raw_model, max_ngram_length), max_ngram_length
+)
 print(
     "Average classification time over",
     classify_iterations,

gptc/__main__.py

@@ -6,19 +6,34 @@ import json
 import sys
 import gptc
 
+
 def main():
     parser = argparse.ArgumentParser(
         description="General Purpose Text Classifier", prog="gptc"
     )
     subparsers = parser.add_subparsers(dest="subparser_name", required=True)
 
-    compile_parser = subparsers.add_parser("compile", help="compile a raw model")
+    compile_parser = subparsers.add_parser(
+        "compile", help="compile a raw model"
+    )
     compile_parser.add_argument("model", help="raw model to compile")
-    compile_parser.add_argument("--max-ngram-length", "-n", help="maximum ngram length", type=int, default=1)
+    compile_parser.add_argument(
+        "--max-ngram-length",
+        "-n",
+        help="maximum ngram length",
+        type=int,
+        default=1,
+    )
 
     classify_parser = subparsers.add_parser("classify", help="classify text")
     classify_parser.add_argument("model", help="compiled model to use")
-    classify_parser.add_argument("--max-ngram-length", "-n", help="maximum ngram length", type=int, default=1)
+    classify_parser.add_argument(
+        "--max-ngram-length",
+        "-n",
+        help="maximum ngram length",
+        type=int,
+        default=1,
+    )
     group = classify_parser.add_mutually_exclusive_group()
     group.add_argument(
         "-j",