updates

Backend/venv/lib/python3.12/site-packages/nltk/tbl/erroranalysis.py

@@ -0,0 +1,38 @@
+# Natural Language Toolkit: Transformation-based learning
+#
+# Copyright (C) 2001-2025 NLTK Project
+# Author: Marcus Uneson <marcus.uneson@gmail.com>
+#   based on previous (nltk2) version by
+#   Christopher Maloof, Edward Loper, Steven Bird
+# URL: <https://www.nltk.org/>
+# For license information, see  LICENSE.TXT
+
+# returns a list of errors in string format
+
+
+def error_list(train_sents, test_sents):
+    """
+    Returns a list of human-readable strings indicating the errors in the
+    given tagging of the corpus.
+
+    :param train_sents: The correct tagging of the corpus
+    :type train_sents: list(tuple)
+    :param test_sents: The tagged corpus
+    :type test_sents: list(tuple)
+    """
+    hdr = ("%25s | %s | %s\n" + "-" * 26 + "+" + "-" * 24 + "+" + "-" * 26) % (
+        "left context",
+        "word/test->gold".center(22),
+        "right context",
+    )
+    errors = [hdr]
+    for train_sent, test_sent in zip(train_sents, test_sents):
+        for wordnum, (word, train_pos) in enumerate(train_sent):
+            test_pos = test_sent[wordnum][1]
+            if train_pos != test_pos:
+                left = " ".join("%s/%s" % w for w in train_sent[:wordnum])
+                right = " ".join("%s/%s" % w for w in train_sent[wordnum + 1 :])
+                mid = f"{word}/{test_pos}->{train_pos}"
+                errors.append(f"{left[-25:]:>25} | {mid.center(22)} | {right[:25]}")
+
+    return errors