From e543438496ea0b8e2d7ae75ada56ff47fcabd557 Mon Sep 17 00:00:00 2001
From: Max Bachmann <kontakt@maxbachmann.de>
Date: Sun, 7 Aug 2022 10:40:31 +0200
Subject: [PATCH] replace usage of deprecated rapidfuzz APIs

---
 qurator/dinglehopper/align.py                    | 4 ++--
 qurator/dinglehopper/edit_distance.py            | 6 +++---
 qurator/dinglehopper/notebooks/Levenshtein.ipynb | 4 ++--
 qurator/dinglehopper/word_error_rate.py          | 4 ++--
 requirements.txt                                 | 2 +-
 5 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/qurator/dinglehopper/align.py b/qurator/dinglehopper/align.py
index 45c4835..861b8a6 100644
--- a/qurator/dinglehopper/align.py
+++ b/qurator/dinglehopper/align.py
@@ -1,5 +1,5 @@
 from .edit_distance import *
-from rapidfuzz.string_metric import levenshtein_editops
+from rapidfuzz.distance import Levenshtein
 
 
 def align(t1, t2):
@@ -13,7 +13,7 @@ def seq_align(s1, s2):
     """Align general sequences."""
     s1 = list(s1)
     s2 = list(s2)
-    ops = levenshtein_editops(s1, s2)
+    ops = Levenshtein.editops(s1, s2)
     i = 0
     j = 0
 
diff --git a/qurator/dinglehopper/edit_distance.py b/qurator/dinglehopper/edit_distance.py
index 7fa4ae1..b50f006 100644
--- a/qurator/dinglehopper/edit_distance.py
+++ b/qurator/dinglehopper/edit_distance.py
@@ -8,7 +8,7 @@ import numpy as np
 from multimethod import multimethod
 from uniseg.graphemecluster import grapheme_clusters
 from tqdm import tqdm
-from rapidfuzz.string_metric import levenshtein, levenshtein_editops
+from rapidfuzz.distance import Levenshtein
 
 from .extracted_text import ExtractedText
 from .config import Config
@@ -24,7 +24,7 @@ def distance(s1: str, s2: str):
     """
     seq1 = list(grapheme_clusters(unicodedata.normalize("NFC", s1)))
     seq2 = list(grapheme_clusters(unicodedata.normalize("NFC", s2)))
-    return levenshtein(seq1, seq2)
+    return Levenshtein.distance(seq1, seq2)
 
 
 @multimethod
@@ -40,4 +40,4 @@ def editops(word1, word2):
     """
     word1 = list(grapheme_clusters(unicodedata.normalize("NFC", word1)))
     word2 = list(grapheme_clusters(unicodedata.normalize("NFC", word2)))
-    return levenshtein_editops(word1, word2)
+    return Levenshtein.editops(word1, word2)
diff --git a/qurator/dinglehopper/notebooks/Levenshtein.ipynb b/qurator/dinglehopper/notebooks/Levenshtein.ipynb
index 8761994..a27dca4 100644
--- a/qurator/dinglehopper/notebooks/Levenshtein.ipynb
+++ b/qurator/dinglehopper/notebooks/Levenshtein.ipynb
@@ -31,7 +31,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from rapidfuzz.string_metric import levenshtein"
+    "from rapidfuzz.distance.Levenshtein import distance as levenshtein"
    ]
   },
   {
@@ -227,7 +227,7 @@
     }
    ],
    "source": [
-    "from rapidfuzz.string_metric import levenshtein_editops as editops\n",
+    "from rapidfuzz.distance.Levenshtein import editops\n",
     "\n",
     "editops('Foo', 'Fon')"
    ]
diff --git a/qurator/dinglehopper/word_error_rate.py b/qurator/dinglehopper/word_error_rate.py
index 0eb94a7..8f0cc96 100644
--- a/qurator/dinglehopper/word_error_rate.py
+++ b/qurator/dinglehopper/word_error_rate.py
@@ -6,7 +6,7 @@ from multimethod import multimethod
 
 import uniseg.wordbreak
 
-from rapidfuzz.string_metric import levenshtein
+from rapidfuzz.distance import Levenshtein
 from . import ExtractedText
 
 
@@ -98,7 +98,7 @@ def word_error_rate_n(reference: Iterable, compared: Iterable) -> Tuple[float, i
     reference_seq = list(reference)
     compared_seq = list(compared)
 
-    d = levenshtein(reference_seq, compared_seq)
+    d = Levenshtein.distance(reference_seq, compared_seq)
     n = len(reference_seq)
 
     if d == 0:
diff --git a/requirements.txt b/requirements.txt
index 25e8676..daf2b0f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,5 +9,5 @@ ocrd >= 2.20.1
 attrs
 multimethod == 1.3  # latest version to officially support Python 3.5
 tqdm
-rapidfuzz >= 2.0.5
+rapidfuzz >= 2.4.2
 six  # XXX workaround OCR-D/core#730