add pytest comparison between gpt2 outputs from this code and from syntaxgym-core

test.py

@@ -1,17 +1,515 @@
-import itertools
 from typing import List
 
 import datasets
 import numpy as np
-import transformers
-import torch
 
+import pytest
 
-dataset = datasets.load_dataset("syntaxgym", "subordination_src-src")
-metric = datasets.load_metric("syntaxgym")
 
-model_ref = "gpt2"
-# model_ref = "hf-internal-testing/tiny-random-gpt_neo"
+@pytest.fixture(scope="session")
+def syntaxgym_dataset():
+    return datasets.load_dataset("syntaxgym", "subordination_src-src")
 
-result = metric.compute(suite=dataset["test"], model_id=model_ref)
-print(result)
+
+@pytest.fixture(scope="session")
+def syntaxgym_metric():
+    return datasets.load_metric("syntaxgym")
+
+
+@pytest.fixture(scope="session")
+def model_ref():
+    # return "hf-internal-testing/tiny-random-gpt_neo"
+    return "gpt2"
+
+
+# Reference region surprisals computed with syntaxgym-core.
+# See notebook in https://colab.research.google.com/drive/1qziyPcu65jffizSPi-ZGHKR0x7BaHFMS#scrollTo=RgtnScy6LLKi .
+GPT2_SUBORDINATION_SRC_REFERENCE = \
+[{('no-sub_matrix', 1): 13.151199615123803,
+  ('no-sub_matrix', 2): 38.503222716703526,
+  ('no-sub_matrix', 3): 27.623861034812286,
+  ('no-sub_matrix', 4): 48.831672846038224,
+  ('no-sub_matrix', 5): 38.08533699286694,
+  ('no-sub_no-matrix', 1): 13.151199615123803,
+  ('no-sub_no-matrix', 2): 38.503222716703526,
+  ('no-sub_no-matrix', 3): 27.623861034812286,
+  ('no-sub_no-matrix', 4): 48.831687980511504,
+  ('no-sub_no-matrix', 5): 1.8096143510772873,
+  ('sub_matrix', 1): 14.905592916748805,
+  ('sub_matrix', 2): 39.06304309956175,
+  ('sub_matrix', 3): 26.862648365854433,
+  ('sub_matrix', 4): 50.56554401687938,
+  ('sub_matrix', 5): 26.532245572980194,
+  ('sub_no-matrix', 1): 14.905592916748805,
+  ('sub_no-matrix', 2): 39.06304309956175,
+  ('sub_no-matrix', 3): 26.862648365854433,
+  ('sub_no-matrix', 4): 50.56553438585093,
+  ('sub_no-matrix', 5): 7.470089829866611},
+ {('no-sub_matrix', 1): 10.116093820255577,
+  ('no-sub_matrix', 2): 20.96513246705127,
+  ('no-sub_matrix', 3): 20.02959138986416,
+  ('no-sub_matrix', 4): 23.779661397107446,
+  ('no-sub_matrix', 5): 33.2560281692696,
+  ('no-sub_no-matrix', 1): 10.116093820255577,
+  ('no-sub_no-matrix', 2): 20.96513246705127,
+  ('no-sub_no-matrix', 3): 20.02959138986416,
+  ('no-sub_no-matrix', 4): 23.779661397107446,
+  ('no-sub_no-matrix', 5): 1.9449125865631063,
+  ('sub_matrix', 1): 13.545157521732826,
+  ('sub_matrix', 2): 24.96048395897244,
+  ('sub_matrix', 3): 18.609464944317324,
+  ('sub_matrix', 4): 23.057566440062317,
+  ('sub_matrix', 5): 26.424454285669032,
+  ('sub_no-matrix', 1): 13.545157521732826,
+  ('sub_no-matrix', 2): 24.96048395897244,
+  ('sub_no-matrix', 3): 18.609464944317324,
+  ('sub_no-matrix', 4): 23.057566440062317,
+  ('sub_no-matrix', 5): 2.807467838359704},
+ {('no-sub_matrix', 1): 11.992867568477442,
+  ('no-sub_matrix', 2): 45.813114232935774,
+  ('no-sub_matrix', 3): 24.57554828372551,
+  ('no-sub_matrix', 4): 45.334025774062916,
+  ('no-sub_matrix', 5): 26.208189541862073,
+  ('no-sub_no-matrix', 1): 11.992867568477442,
+  ('no-sub_no-matrix', 2): 45.813114232935774,
+  ('no-sub_no-matrix', 3): 24.57554828372551,
+  ('no-sub_no-matrix', 4): 45.33402766587207,
+  ('no-sub_no-matrix', 5): 1.8284485151385752,
+  ('sub_matrix', 1): 14.219887768799735,
+  ('sub_matrix', 2): 46.25055434117979,
+  ('sub_matrix', 3): 23.054221678472672,
+  ('sub_matrix', 4): 47.08503858470256,
+  ('sub_matrix', 5): 22.154772321452022,
+  ('sub_no-matrix', 1): 14.219887768799735,
+  ('sub_no-matrix', 2): 46.25055434117979,
+  ('sub_no-matrix', 3): 23.054221678472672,
+  ('sub_no-matrix', 4): 47.08503858470256,
+  ('sub_no-matrix', 5): 3.0655133594366757},
+ {('no-sub_matrix', 1): 10.55002943802296,
+  ('no-sub_matrix', 2): 52.419810137608856,
+  ('no-sub_matrix', 3): 23.30710475332303,
+  ('no-sub_matrix', 4): 37.957905964008944,
+  ('no-sub_matrix', 5): 29.259648135104936,
+  ('no-sub_no-matrix', 1): 10.55002943802296,
+  ('no-sub_no-matrix', 2): 52.419810137608856,
+  ('no-sub_no-matrix', 3): 23.30710475332303,
+  ('no-sub_no-matrix', 4): 37.957905964008944,
+  ('no-sub_no-matrix', 5): 1.9632913405649093,
+  ('sub_matrix', 1): 15.289384584900025,
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+  ('sub_no-matrix', 1): 15.289384584900025,
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+  ('sub_no-matrix', 3): 19.43915835312633,
+  ('sub_no-matrix', 4): 36.4595598203003,
+  ('sub_no-matrix', 5): 5.707732355645454},
+ {('no-sub_matrix', 1): 23.543723213902986,
+  ('no-sub_matrix', 2): 31.967972102825854,
+  ('no-sub_matrix', 3): 29.159572978411727,
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+  ('no-sub_no-matrix', 1): 23.543723213902986,
+  ('no-sub_no-matrix', 2): 31.967972102825854,
+  ('no-sub_no-matrix', 3): 29.159572978411727,
+  ('no-sub_no-matrix', 4): 36.61365345925747,
+  ('no-sub_no-matrix', 5): 3.2813457388593714,
+  ('sub_matrix', 1): 27.118410129310597,
+  ('sub_matrix', 2): 33.909617362987866,
+  ('sub_matrix', 3): 28.791166362258743,
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+  ('sub_no-matrix', 1): 27.118410129310597,
+  ('sub_no-matrix', 2): 33.909617362987866,
+  ('sub_no-matrix', 3): 28.791166362258743,
+  ('sub_no-matrix', 4): 37.24960609010374,
+  ('sub_no-matrix', 5): 7.3613541428239015},
+ {('no-sub_matrix', 1): 14.22171869610082,
+  ('no-sub_matrix', 2): 30.270423022911977,
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+  ('sub_no-matrix', 4): 29.249645624130757,
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+ {('no-sub_matrix', 1): 13.729688714733188,
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+  ('no-sub_no-matrix', 2): 38.32406752938649,
+  ('no-sub_no-matrix', 3): 25.987801084044044,
+  ('no-sub_no-matrix', 4): 40.40950903177875,
+  ('no-sub_no-matrix', 5): 3.61917194787979,
+  ('sub_matrix', 1): 15.130341564722832,
+  ('sub_matrix', 2): 37.89719334728088,
+  ('sub_matrix', 3): 24.65681032273433,
+  ('sub_matrix', 4): 40.731610867030774,
+  ('sub_matrix', 5): 37.566910985257906,
+  ('sub_no-matrix', 1): 15.130341564722832,
+  ('sub_no-matrix', 2): 37.89719334728088,
+  ('sub_no-matrix', 3): 24.65681032273433,
+  ('sub_no-matrix', 4): 40.731610867030774,
+  ('sub_no-matrix', 5): 9.39736249989602},
+ {('no-sub_matrix', 1): 16.25058564557851,
+  ('no-sub_matrix', 2): 37.20405682898803,
+  ('no-sub_matrix', 3): 30.5107090995129,
+  ('no-sub_matrix', 4): 44.537084655292894,
+  ('no-sub_matrix', 5): 46.50046620075818,
+  ('no-sub_no-matrix', 1): 16.25058564557851,
+  ('no-sub_no-matrix', 2): 37.20405682898803,
+  ('no-sub_no-matrix', 3): 30.5107090995129,
+  ('no-sub_no-matrix', 4): 44.537084655292894,
+  ('no-sub_no-matrix', 5): 1.8752506698658238,
+  ('sub_matrix', 1): 18.440281483079957,
+  ('sub_matrix', 2): 38.54769605435544,
+  ('sub_matrix', 3): 30.510800250317864,
+  ('sub_matrix', 4): 44.99740645329493,
+  ('sub_matrix', 5): 39.55738177603457,
+  ('sub_no-matrix', 1): 18.440281483079957,
+  ('sub_no-matrix', 2): 38.54769605435544,
+  ('sub_no-matrix', 3): 30.510800250317864,
+  ('sub_no-matrix', 4): 44.99740645329493,
+  ('sub_no-matrix', 5): 2.6233048602148386},
+ {('no-sub_matrix', 1): 16.324447378609865,
+  ('no-sub_matrix', 2): 30.87308462806543,
+  ('no-sub_matrix', 3): 22.765564836381643,
+  ('no-sub_matrix', 4): 38.337445027901204,
+  ('no-sub_matrix', 5): 40.98815076599078,
+  ('no-sub_no-matrix', 1): 16.324447378609865,
+  ('no-sub_no-matrix', 2): 30.87308462806543,
+  ('no-sub_no-matrix', 3): 22.765564836381643,
+  ('no-sub_no-matrix', 4): 38.337445027901204,
+  ('no-sub_no-matrix', 5): 1.4796406979126138,
+  ('sub_matrix', 1): 17.9623592385626,
+  ('sub_matrix', 2): 32.36568198294609,
+  ('sub_matrix', 3): 22.438215466486483,
+  ('sub_matrix', 4): 40.900713840387546,
+  ('sub_matrix', 5): 33.396627340011634,
+  ('sub_no-matrix', 1): 17.9623592385626,
+  ('sub_no-matrix', 2): 32.36568198294609,
+  ('sub_no-matrix', 3): 22.438215466486483,
+  ('sub_no-matrix', 4): 40.900713840387546,
+  ('sub_no-matrix', 5): 6.609518913895668},
+ {('no-sub_matrix', 1): 14.033258731424148,
+  ('no-sub_matrix', 2): 28.37206528002418,
+  ('no-sub_matrix', 3): 27.043658386061033,
+  ('no-sub_matrix', 4): 36.167049513436204,
+  ('no-sub_matrix', 5): 52.280797076864395,
+  ('no-sub_no-matrix', 1): 14.033258731424148,
+  ('no-sub_no-matrix', 2): 28.37206528002418,
+  ('no-sub_no-matrix', 3): 27.043658386061033,
+  ('no-sub_no-matrix', 4): 36.167049513436204,
+  ('no-sub_no-matrix', 5): 1.9358795417918389,
+  ('sub_matrix', 1): 16.606623097498794,
+  ('sub_matrix', 2): 29.98729916366884,
+  ('sub_matrix', 3): 24.737985875967603,
+  ('sub_matrix', 4): 34.93154214402433,
+  ('sub_matrix', 5): 42.35241303296243,
+  ('sub_no-matrix', 1): 16.606623097498794,
+  ('sub_no-matrix', 2): 29.98729916366884,
+  ('sub_no-matrix', 3): 24.737985875967603,
+  ('sub_no-matrix', 4): 34.931551775052775,
+  ('sub_no-matrix', 5): 7.151971456773863},
+ {('no-sub_matrix', 1): 10.482293039084738,
+  ('no-sub_matrix', 2): 52.67861788579445,
+  ('no-sub_matrix', 3): 21.665543335527666,
+  ('no-sub_matrix', 4): 23.53727708917033,
+  ('no-sub_matrix', 5): 32.2645584918966,
+  ('no-sub_no-matrix', 1): 10.482293039084738,
+  ('no-sub_no-matrix', 2): 52.67861788579445,
+  ('no-sub_no-matrix', 3): 21.665543335527666,
+  ('no-sub_no-matrix', 4): 23.53727708917033,
+  ('no-sub_no-matrix', 5): 2.5207572809328243,
+  ('sub_matrix', 1): 11.523882918360123,
+  ('sub_matrix', 2): 57.336257883871156,
+  ('sub_matrix', 3): 21.647716645835132,
+  ('sub_matrix', 4): 23.491483569694733,
+  ('sub_matrix', 5): 24.264706351480406,
+  ('sub_no-matrix', 1): 11.523882918360123,
+  ('sub_no-matrix', 2): 57.336257883871156,
+  ('sub_no-matrix', 3): 21.647716645835132,
+  ('sub_no-matrix', 4): 23.491462243846026,
+  ('sub_no-matrix', 5): 9.714244661694366},
+ {('no-sub_matrix', 1): 11.992867568477442,
+  ('no-sub_matrix', 2): 28.861638231250264,
+  ('no-sub_matrix', 3): 24.222607873884137,
+  ('no-sub_matrix', 4): 41.28280460012173,
+  ('no-sub_matrix', 5): 56.6084264455065,
+  ('no-sub_no-matrix', 1): 11.992867568477442,
+  ('no-sub_no-matrix', 2): 28.861638231250264,
+  ('no-sub_no-matrix', 3): 24.222607873884137,
+  ('no-sub_no-matrix', 4): 41.28280460012173,
+  ('no-sub_no-matrix', 5): 2.4980576348107437,
+  ('sub_matrix', 1): 14.531057698832324,
+  ('sub_matrix', 2): 31.280393934821902,
+  ('sub_matrix', 3): 20.756528260470358,
+  ('sub_matrix', 4): 42.15937712589425,
+  ('sub_matrix', 5): 52.45767194621365,
+  ('sub_no-matrix', 1): 14.531057698832324,
+  ('sub_no-matrix', 2): 31.280393934821902,
+  ('sub_no-matrix', 3): 20.756528260470358,
+  ('sub_no-matrix', 4): 42.15937712589425,
+  ('sub_no-matrix', 5): 4.819862633503057}]
+
+
+def test_gpt_subordination_region_totals():
+    """
+    Check region-level surprisals against the original syntaxgym-core
+    implementation, using the same underlying `gpt2` model.
+    """
+    reference = ...  # TODO
+
+    # TODO work out references
+    dataset = datasets.load_dataset("./syntaxgym.py", "subordination_src-src")
+    metric = datasets.load_metric("./syntaxgym.py")
+    result = metric.compute(suite=dataset["test"], model_id="gpt2")
+
+    from pprint import pprint
+    pprint(result["region_totals"][0])
+    pprint(GPT2_SUBORDINATION_SRC_REFERENCE[0])
+
+    keys = result["region_totals"][0].keys()
+    assert set(keys) == set(GPT2_SUBORDINATION_SRC_REFERENCE[0].keys())
+
+    result_ndarray = np.concatenate([np.array([region_totals[key] for key in keys])
+                                     for region_totals in result["region_totals"]])
+    reference_ndarray = np.concatenate([np.array([region_totals[key] for key in keys])
+                                        for region_totals in GPT2_SUBORDINATION_SRC_REFERENCE])
+    pprint(sorted(zip(keys, np.abs(result_ndarray - reference_ndarray)),
+                  key=lambda x: -x[1]))
+    np.testing.assert_allclose(result_ndarray, reference_ndarray, atol=1e-3)