Remove .py extension from commands

src/pair_check

@@ -0,0 +1,105 @@
+#!/usr/bin/env python
+import argparse
+import os
+from Results import Summary, StubReport
+from Utils import EnvDefault, Folders, TextColor
+
+"""Check best results of two models giving scores and win-tie-loose results
+"""
+
+
+def parse_arguments():
+    ap = argparse.ArgumentParser()
+    ap.add_argument(
+        "-s",
+        "--score",
+        action=EnvDefault,
+        envvar="score",
+        type=str,
+        required=True,
+        help="score name {accuracy, f1_macro, ...}",
+    )
+    ap.add_argument(
+        "-m1",
+        "--model1",
+        type=str,
+        required=True,
+        help="model 1 name",
+    )
+    ap.add_argument(
+        "-m2",
+        "--model2",
+        type=str,
+        required=True,
+        help="model 2 name",
+    )
+    ap.add_argument(
+        "-w",
+        "--win",
+        type=bool,
+        default=False,
+        required=False,
+        help="show win results",
+    )
+    ap.add_argument(
+        "-l",
+        "--loose",
+        type=bool,
+        default=False,
+        required=False,
+        help="show loose results",
+    )
+    args = ap.parse_args()
+    return (
+        args.score,
+        args.model1,
+        args.model2,
+        args.win,
+        args.loose,
+    )
+
+
+(
+    score,
+    model1,
+    model2,
+    win_results,
+    loose_results,
+) = parse_arguments()
+
+summary = Summary()
+summary.acquire()
+win = tie = loose = 0
+winners = []
+loosers = []
+best_1 = summary.best_result(criterion="model", value=model1, score=score)
+best_2 = summary.best_result(criterion="model", value=model2, score=score)
+report_1 = StubReport(os.path.join(Folders.results, best_1["file"]))
+report_1.report()
+report_2 = StubReport(os.path.join(Folders.results, best_2["file"]))
+report_2.report()
+for result1, result2 in zip(report_1.lines, report_2.lines):
+    result = result1["score"] - result2["score"]
+    if result > 0:
+        win += 1
+        winners.append(result1["dataset"])
+    elif result < 0:
+        loose += 1
+        loosers.append(result1["dataset"])
+    else:
+        tie += 1
+print(f"{'Model':<20} {'File':<70} {'Score':<10} Win Tie Loose")
+print("=" * 20 + " " + "=" * 70 + " " + "=" * 10 + " === === =====")
+print(f"{model1:<20} {best_1['file']:<70} {report_1.score:10.5f}")
+print(
+    f"{model2:<20} {best_2['file']:<70} "
+    f"{report_2.score:10.5f} "
+    f"{TextColor.GREEN}{win:3d} {TextColor.YELLOW}{tie:3d} "
+    f"{TextColor.RED}{loose:5d}"
+)
+if win_results:
+    print(TextColor.GREEN + "Winners:")
+    print(winners)
+if loose_results:
+    print(TextColor.RED + "Loosers:")
+    print(loosers)