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orange3
2d9617bd0cb1f0ba61771258410ab8fae8e7e24d
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"\\\"\\\"\\\"Widget Setting(...TRUNCATED)
"[ISSUE]\n**Title:** Context migration fails to remove incompatible contexts, causing initialization(...TRUNCATED)
"{\n \"TestContextHandler.test_close_context\": \"PASSED\",\n \"TestContextHandler.test_fast_s(...TRUNCATED)
orange3
a95245e37f35446f9870feb68f5ebb97d1c279ce
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"# Test methods with long d(...TRUNCATED)
"[ISSUE]\n**Title:** Unpickling `DiscreteVariable` Adds Unexpected Values Leading to Inconsistencies(...TRUNCATED)
"{\n \"TestVariable.test_name\": \"PASSED\",\n \"TestVariable.test_properties\": \"PASSED\",\n(...TRUNCATED)
orange3
9764be4fa30b1ae85db3b875039f0a2983531a9d
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"\\\"\\\"\\\"Pandas DataFra(...TRUNCATED)
"[ISSUE]\n**Title**: ImportError: Unable to import `table_to_frame` from `Orange.data.pandas_compat`(...TRUNCATED)
"{\n \"TestPandasCompat.test_table_from_frame\": \"PASSED\",\n \"TestPandasCompat.test_table_t(...TRUNCATED)
orange3
ef8363b650134f6415704b064573707a6d304ca3
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"import calendar\\nimport r(...TRUNCATED)
"[ISSUE]\n**Title:** Incorrect Year Formatting in Time Bins for Extended Date Ranges\n\n**Descriptio(...TRUNCATED)
"{\n \"TestTimeBinning.test_add_unique\": \"PASSED\",\n \"TestTimeBinning.test_binning\": \"PA(...TRUNCATED)
orange3
e48a32f29bd3736e53efb7290cae64d5688357d6
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"import unittest\\n\\nfrom (...TRUNCATED)
"[ISSUE]\n**Title:** Incorrect Handling of Duplicate Names with Existing Indices in `get_unique_name(...TRUNCATED)
"{\n \"TestGetUniqueNames.test_get_unique_names\": \"PASSED\",\n \"TestGetUniqueNames.test_get(...TRUNCATED)
orange3
74ffccc1d4a1dbb877490c9d6b59e6f501d5e438
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"import numpy as np\\n\\nfr(...TRUNCATED)
"[ISSUE]\n**Title:** `DistMatrix.max()` Returns Python `int` Instead of `numpy.int64`\n\n**Descripti(...TRUNCATED)
"{\n \"TestDistMatrix.test_deprecated\": \"PASSED\",\n \"TestDistMatrix.test_from_file\": \"PA(...TRUNCATED)
orange3
269e2a176b9b2b8e00be46f5a59e840625879bf9
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"\",\n \"new_fil(...TRUNCATED)
"[ISSUE]\n**Title:** Numeric Variables with Missing Values Misclassified as Discrete\n\n**Descriptio(...TRUNCATED)
{ "TestIoUtil.test_guess_continuous_w_nans": "PASSED" }
orange3
9b5494e26f407b75e79699c9d40be6df1d80a040
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"import numpy as np\\nimpor(...TRUNCATED)
"[ISSUE]\n### Error When Using L1 Penalty with LogisticRegressionLearner\n\nWhen configuring `Logist(...TRUNCATED)
"{\n \"TestLogisticRegressionLearner.test_LogisticRegressionNormalization_todo\": \"PASSED\",\n (...TRUNCATED)
orange3
70a4df334835bcb9ea7c6b0eb11b4f5f7e117f36
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"# Test methods with long d(...TRUNCATED)
"**[ISSUE]**\n\n**Title:** ContinuousVariable Fails to Display Scientific Notation for High Decimal (...TRUNCATED)
"{\n \"TestVariable.test_name\": \"PASSED\",\n \"TestVariable.test_properties\": \"PASSED\",\n(...TRUNCATED)
orange3
d61803f7181e7ad525d4bb1dd71ca500bb41617e
"{\n \"file_diffs\": [\n {\n \"old_file_content\": \"from Orange.data import St(...TRUNCATED)
"[ISSUE]\n**Title:** Metas summary incorrectly includes \"(not shown)\" in summary details\n\n**Desc(...TRUNCATED)
{ "TestUtils.test_details": "PASSED" }
End of preview. Expand in Data Studio

This dataset is derived from r2e-gym-subset.

It keeps only samples whose gold patch verifies correctly in all 16 runs.

This is used to make the verify reward score more accurate during RL training, for stable verification.

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