v0.4.7

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "fasttrackpy"
-version = "0.4.6"
+version = "0.4.7"
 description = "A python implementation of FastTrack"
 authors = [
     "JoFrhwld <[email protected]>",
@@ -30,10 +30,11 @@ python-magic-bin = {version = "^0.4.14", markers = "sys_platform == 'win32'"}
 click = "^8.1.7"
 cloup = "^3.0.3"
 matplotlib = "^3.8.2"
-aligned-textgrid = "^0.6.2"
+aligned-textgrid = "^0.6.7"
 tqdm = "^4.66.1"
 joblib = "^1.3.2"
 pyyaml = "^6.0.1"
+cloudpickle = "^3.0.0"
 
 [tool.poetry.group.dev.dependencies]
 jupyter = "^1.0.0"

src/fasttrackpy/processors/outputs.py

@@ -1,12 +1,13 @@
 import numpy as np
-import pickle
+import cloudpickle
 import parselmouth as pm
 import polars as pl
 from aligned_textgrid import SequenceInterval
 from pathlib import Path
 import matplotlib.pyplot as mp
 import copy
 import logging
+import sys
 
 ptolmap = {"F1" :"#4477AA",
            "F1_s": "#4477AA",
@@ -425,11 +426,11 @@ def pickle_candidates(
     """
     if type(file) is str:
         file = Path(file)
-
-    tmp_candidates = copy.deepcopy (candidates)
+    sys.setrecursionlimit(3000)
+    #tmp_candidates = copy.deepcopy (candidates)
 
     with file.open('wb') as f:
-        pickle.dump(tmp_candidates, f)
+        cloudpickle.dump(candidates, f)
 
 
 def unpickle_candidates(
@@ -450,8 +451,8 @@ def unpickle_candidates(
     """
     if type(file) is str:
         file = Path(file)    
-
+    sys.setrecursionlimit(3000)
     with file.open('rb') as f:
-        candidates = pickle.load(f)
+        candidates = cloudpickle.load(f)
 
     return candidates

tests/test_outputs.py

@@ -9,6 +9,7 @@
     pickle_candidates,\
     unpickle_candidates
 from fasttrackpy.patterns.just_audio import process_audio_file
+from fasttrackpy import process_audio_textgrid
 import parselmouth as pm
 import polars as pl
 import numpy as np
@@ -142,6 +143,7 @@ def test_save_cand_spectrogram(self, tmp_path):
 
 class TestPickle:
     cands = CandidateTracks(SOUND)
+
 
     def test_pickle_unpickle(self, tmp_path):
         pickle_file = tmp_path / "cand.pkl"
@@ -154,4 +156,16 @@ def test_pickle_unpickle(self, tmp_path):
             re_read.winner.maximum_formant,
             self.cands.winner.maximum_formant
             )
-        assert len(re_read.candidates) == len(self.cands.candidates)
+        assert len(re_read.candidates) == len(self.cands.candidates)
+
+    def test_big_pickle_unpickle(self, tmp_path):
+        cands2 = process_audio_textgrid(
+            audio_path=Path("tests", "test_data", "corpus", "josef-fruehwald_speaker.wav"),
+            textgrid_path=Path("tests", "test_data", "corpus", "josef-fruehwald_speaker.TextGrid"),
+        )
+        pickle_file = tmp_path / "cand2.pkl"
+        pickle_candidates(cands2[0], file = pickle_file)
+        assert pickle_file.exists()
+
+        re_read = unpickle_candidates(file = pickle_file)
+        assert len(re_read.candidates) == len(cands2[0].candidates)