Upload 2025-09-18/runs/5186-17835136222/ci_results_run_models_gpu/model_results_extra.json with huggingface_hub

2025-09-18/runs/5186-17835136222/ci_results_run_models_gpu/model_results_extra.json

@@ -0,0 +1,121 @@
+{
+    "models_auto": {
+        "captured_info": {}
+    },
+    "models_bert": {
+        "captured_info": {}
+    },
+    "models_csm": {
+        "captured_info": {}
+    },
+    "models_detr": {
+        "captured_info": {}
+    },
+    "models_gemma3": {
+        "captured_info": {}
+    },
+    "models_gemma3n": {
+        "captured_info": {}
+    },
+    "models_got_ocr2": {
+        "captured_info": {}
+    },
+    "models_gpt2": {
+        "captured_info": {}
+    },
+    "models_gpt_oss": {
+        "captured_info": {}
+    },
+    "models_internvl": {
+        "captured_info": {}
+    },
+    "models_llama": {
+        "captured_info": {}
+    },
+    "models_llava": {
+        "captured_info": {}
+    },
+    "models_mistral3": {
+        "captured_info": {
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838191#step:16:1",
+                "captured_info": "test:\n\ntests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/mistral3/test_modeling_mistral3.py:378\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/mistral3/test_modeling_mistral3.py:378\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nSilence in the woods\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n\"Wooden path to calm,\\nReflections whisper secrets,\\nNature's peace unfolds.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/mistral3/test_modeling_mistral3.py:454\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/mistral3/test_modeling_mistral3.py:454\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nPeace in nature's hold\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nSilence in the scene\"\n\n========================================================================================================================\n\n"
+            },
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838214#step:16:1",
+                "captured_info": "test:\n\ntests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/mistral3/test_modeling_mistral3.py:378\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/mistral3/test_modeling_mistral3.py:378\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nSilence in the woods\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n\"Wooden path to calm,\\nReflections whisper secrets,\\nNature's peace unfolds.\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/mistral3/test_modeling_mistral3.py::Mistral3IntegrationTest::test_mistral3_integration_batched_generate_multi_image\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/mistral3/test_modeling_mistral3.py:454\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/mistral3/test_modeling_mistral3.py:454\n\n        self.assertEqual(\n            decoded_output,\n            expected_output,\n            f\"Decoded output: {decoded_output}\\nExpected output: {expected_output}\",\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nPeace in nature's hold\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n\"Calm waters reflect\\nWooden path to distant shore\\nSilence in the scene\"\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_modernbert": {
+        "captured_info": {}
+    },
+    "models_qwen2": {
+        "captured_info": {}
+    },
+    "models_qwen2_5_omni": {
+        "captured_info": {}
+    },
+    "models_qwen2_5_vl": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838285#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:612\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:612\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\n addCriterion\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:683\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:683\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\naks\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838148#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_different_resolutions\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:612\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:612\n\n            self.assertEqual(\n                decoded,\n                expected,\n                f\"Decoded text {i}:\\n{repr(decoded)}\\ndoes not match expected decoded text:\\n{repr(expected)}\",\n            )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\n addCriterion\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and gentle nature, which is\"\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected`\n\nargument value:\n\n\"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\"\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py::Qwen2_5_VLIntegrationTest::test_small_model_integration_test_batch_wo_image_flashatt2\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:683\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_5_vl/test_modeling_qwen2_5_vl.py:683\n\n        self.assertEqual(decoded_text, EXPECTED_DECODED_TEXT)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded_text`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\naks\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nWhat kind of dog is this?\\nassistant\\nThe dog in the picture appears to be a Labrador Retriever. Labradors are known for their friendly and energetic nature, which is evident in\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nWho are you?\\nassistant\\n�\\n\\n addCriterion\\nI'm sorry, but I don't understand your question. Could you please provide more context or clarify what you're asking\"\n]\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_qwen2_audio": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838216#step:16:1",
+                "captured_info": "test:\n\ntests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationIntegrationTest::test_small_model_integration_test_batch\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_audio/test_modeling_qwen2_audio.py:332\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_audio/test_modeling_qwen2_audio.py:332\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat's that sound?\\nassistant\\nIt is the sound of glass shattering.\\nuser\\nAudio 2: \\nWhat can you hear?\\nassistant\\nI can hear the sound of glass shattering.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat does the person say?\\nassistant\\nThe person says, \\\"I'm sorry, I can't answer this question.\\\"\"\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\n    \"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat's that sound?\\nassistant\\nIt is the sound of glass shattering.\\nuser\\nAudio 2: \\nWhat can you hear?\\nassistant\\ncough and throat clearing.\",\n    \"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat does the person say?\\nassistant\\nThe original content of this audio is: 'Mister Quiller is the apostle of the middle classes and we are glad to welcome his gospel.'\"\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/qwen2_audio/test_modeling_qwen2_audio.py::Qwen2AudioForConditionalGenerationIntegrationTest::test_small_model_integration_test_multiturn\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/qwen2_audio/test_modeling_qwen2_audio.py:388\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/qwen2_audio/test_modeling_qwen2_audio.py:388\n\n        self.assertEqual(\n            self.processor.batch_decode(output, skip_special_tokens=True),\n            EXPECTED_DECODED_TEXT,\n        )\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `self.processor.batch_decode(output, skip_special_tokens=True)`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat's that sound?\\nassistant\\nIt is the sound of glass shattering.\\nuser\\nAudio 2: \\nHow about this one?\\nassistant\\nThis is the sound of liquid dripping.\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `EXPECTED_DECODED_TEXT`\n\nargument value:\n\n[\"system\\nYou are a helpful assistant.\\nuser\\nAudio 1: \\nWhat's that sound?\\nassistant\\nIt is the sound of glass shattering.\\nuser\\nAudio 2: \\nHow about this one?\\nassistant\\nThroat clearing.\"]\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_smolvlm": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838237#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/smolvlm/test_modeling_smolvlm.py:589\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:589\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838087#step:16:1",
+                "captured_info": "test:\n\ntests/models/smolvlm/test_modeling_smolvlm.py::SmolVLMForConditionalGenerationIntegrationTest::test_integration_test_video\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/smolvlm/test_modeling_smolvlm.py:589\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/smolvlm/test_modeling_smolvlm.py:589\n\n        self.assertEqual(generated_texts[0], expected_generated_text)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `generated_texts[0]`\n\nargument value:\n\n'User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video depicts a large language model architecture, specifically a language model with a \"quick brown\" feature'\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_generated_text`\n\nargument value:\n\n\"User: You are provided the following series of nine frames from a 0:00:09 [H:MM:SS] video.\\n\\nFrame from 00:00:\\nFrame from 00:01:\\nFrame from 00:02:\\nFrame from 00:03:\\nFrame from 00:04:\\nFrame from 00:05:\\nFrame from 00:06:\\nFrame from 00:08:\\nFrame from 00:09:\\n\\nDescribe this video in detail\\nAssistant: The video showcases a large language model, specifically a neural network model, which is designed to learn and\"\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_t5": {
+        "captured_info": {}
+    },
+    "models_table_transformer": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838283#step:16:1",
+                "captured_info": "test:\n\ntests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/table_transformer/test_modeling_table_transformer.py:600\n\n        torch.testing.assert_close(outputs.logits[0, :3, :3], expected_logits, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/table_transformer/test_modeling_table_transformer.py:600\n\n        torch.testing.assert_close(outputs.logits[0, :3, :3], expected_logits, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.logits[0, :3, :3]`\n\nargument value:\n\n[\n    [-6.7668, -16.9917, 6.7738],\n    [-8.0046, -22.2668, 6.9491],\n    [-7.2834, -21.0321, 7.3785],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_logits`\n\nargument value:\n\n[\n    [-6.7329, -16.9590, 6.7447],\n    [-8.0038, -22.3071, 6.9288],\n    [-7.2445, -20.9855, 7.3465],\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/table_transformer/test_modeling_table_transformer.py:608\n\n        torch.testing.assert_close(outputs.pred_boxes[0, :3, :3], expected_boxes, rtol=1e-3, atol=1e-3)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/table_transformer/test_modeling_table_transformer.py:608\n\n        torch.testing.assert_close(outputs.pred_boxes[0, :3, :3], expected_boxes, rtol=1e-3, atol=1e-3)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.pred_boxes[0, :3, :3]`\n\nargument value:\n\n[\n    [0.4868, 0.1766, 0.6732],\n    [0.6686, 0.4526, 0.3859],\n    [0.4717, 0.1760, 0.6362],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_boxes`\n\nargument value:\n\n[\n    [0.4868, 0.1764, 0.6729],\n    [0.6674, 0.4621, 0.3864],\n    [0.4720, 0.1757, 0.6362],\n]\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838103#step:16:1",
+                "captured_info": "test:\n\ntests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/table_transformer/test_modeling_table_transformer.py:600\n\n        torch.testing.assert_close(outputs.logits[0, :3, :3], expected_logits, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/table_transformer/test_modeling_table_transformer.py:600\n\n        torch.testing.assert_close(outputs.logits[0, :3, :3], expected_logits, rtol=1e-4, atol=1e-4)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.logits[0, :3, :3]`\n\nargument value:\n\n[\n    [-6.7668, -16.9917, 6.7738],\n    [-8.0046, -22.2668, 6.9491],\n    [-7.2834, -21.0321, 7.3785],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_logits`\n\nargument value:\n\n[\n    [-6.7329, -16.9590, 6.7447],\n    [-8.0038, -22.3071, 6.9288],\n    [-7.2445, -20.9855, 7.3465],\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/table_transformer/test_modeling_table_transformer.py::TableTransformerModelIntegrationTests::test_table_detection\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/table_transformer/test_modeling_table_transformer.py:608\n\n        torch.testing.assert_close(outputs.pred_boxes[0, :3, :3], expected_boxes, rtol=1e-3, atol=1e-3)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/table_transformer/test_modeling_table_transformer.py:608\n\n        torch.testing.assert_close(outputs.pred_boxes[0, :3, :3], expected_boxes, rtol=1e-3, atol=1e-3)\n\n--------------------------------------------------------------------------------\n\npatched method: torch.testing._comparison.assert_close\n\n--------------------------------------------------------------------------------\n\nargument name: `actual`\nargument expression: `outputs.pred_boxes[0, :3, :3]`\n\nargument value:\n\n[\n    [0.4868, 0.1766, 0.6732],\n    [0.6686, 0.4526, 0.3859],\n    [0.4717, 0.1760, 0.6362],\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `expected`\nargument expression: `expected_boxes`\n\nargument value:\n\n[\n    [0.4868, 0.1764, 0.6729],\n    [0.6674, 0.4621, 0.3864],\n    [0.4720, 0.1757, 0.6362],\n]\n\n========================================================================================================================\n\n"
+            }
+        }
+    },
+    "models_wav2vec2": {
+        "captured_info": {}
+    },
+    "models_whisper": {
+        "captured_info": {
+            "multi": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838309#step:16:1",
+                "captured_info": "test:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:1946\n\n        self.assertEqual(transcript[0][\"offsets\"], expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:1946\n\n        self.assertEqual(transcript[0][\"offsets\"], expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `transcript[0]['offsets']`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.38)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.38, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.36)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.36, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:1955\n\n        self.assertEqual(transcript_segments, expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:1955\n\n        self.assertEqual(transcript_segments, expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `transcript_segments`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.38)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.38, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.36)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.36, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:2619\n\n        self.assertEqual(decoded, expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:2619\n\n        self.assertEqual(decoded, expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating, so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks, I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks. I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:2633\n\n        self.assertEqual(decoded, expected_output2)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:2633\n\n        self.assertEqual(decoded, expected_output2)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating, so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks, I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output2`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks. I lurched a consciousness in the back of an abandoned school bus and slap myself a wig.\"]\n\n========================================================================================================================\n\n"
+            },
+            "single": {
+                "link": "https://github.com/huggingface/transformers/actions/runs/17835136222/job/50710838095#step:16:1",
+                "captured_info": "test:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:1946\n\n        self.assertEqual(transcript[0][\"offsets\"], expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:1946\n\n        self.assertEqual(transcript[0][\"offsets\"], expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `transcript[0]['offsets']`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.38)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.38, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.36)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.36, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_small_longform_timestamps_generation\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:1955\n\n        self.assertEqual(transcript_segments, expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:1955\n\n        self.assertEqual(transcript_segments, expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `transcript_segments`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.38)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.38, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\n    {\n        \"text\": \" Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.\",\n        \"timestamp\": (0.0, 6.38)\n    },\n    {\n        \"text\": \" Nor is Mr. Quilter's manner less interesting than his matter.\",\n        \"timestamp\": (6.38, 11.32)\n    },\n    {\n        \"text\": \" He tells us that at this festive season of the year,\",\n        \"timestamp\": (11.32, 15.0)\n    },\n    {\n        \"text\": \" With Christmas and roast beef looming before us, similes drawn from eating and its results\",\n        \"timestamp\": (30.0, 36.76)\n    },\n    {\n        \"text\": \" occur most readily to the mind.\",\n        \"timestamp\": (36.76, 39.8)\n    },\n    {\n        \"text\": \" He has grave doubts whether Sir Frederick Layton's work is really Greek after all and\",\n        \"timestamp\": (39.8, 45.36)\n    },\n    {\n        \"text\": \" can discover in it but little of rocky Ithaca.\",\n        \"timestamp\": (45.36, 49.0)\n    },\n    {\n        \"text\": \" Lenell's pictures are a sort of up-guards-and-atom paintings, and Mason's exquisite ittles\",\n        \"timestamp\": (49.0, 56.28)\n    },\n    {\n        \"text\": \" are as national as a jingo poem. Mr. Burkett fosters landscape's smile at one much in\",\n        \"timestamp\": (56.28, 64.12)\n    },\n    {\n        \"text\": \" the same way that Mr. Karker used to flash his teeth. And Mr. John Collier gives his\",\n        \"timestamp\": (64.12, 70.76)\n    },\n    {\n        \"text\": \" sitter a cheerful slap on the back before he says, like a shampoo or in a Turkish bath,\",\n        \"timestamp\": (70.76, 77.16)\n    },\n    {\n        \"text\": \" Next Man\",\n        \"timestamp\": (77.16, 78.16)\n    }\n]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:2619\n\n        self.assertEqual(decoded, expected_output)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:2619\n\n        self.assertEqual(decoded, expected_output)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating, so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks, I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks. I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n========================================================================================================================\n\ntest:\n\ntests/models/whisper/test_modeling_whisper.py::WhisperModelIntegrationTests::test_whisper_shortform_single_batch_prev_cond\n\n--------------------------------------------------------------------------------\n\ntest context: tests/models/whisper/test_modeling_whisper.py:2633\n\n        self.assertEqual(decoded, expected_output2)\n\n--------------------------------------------------------------------------------\n\ncaller context: tests/models/whisper/test_modeling_whisper.py:2633\n\n        self.assertEqual(decoded, expected_output2)\n\n--------------------------------------------------------------------------------\n\npatched method: unittest.case.assertEqual\n\n--------------------------------------------------------------------------------\n\nargument name: `first`\nargument expression: `decoded`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating, so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks, I lurched a consciousness in the back of an abandoned school bus and slap myself awake.\"]\n\n--------------------------------------------------------------------------------\n\nargument name: `second`\nargument expression: `expected_output2`\n\nargument value:\n\n[\" Folks, I spend a lot of time right over there, night after night after night, actually. Carefully selecting for you the day's noosiest, most aerodynamic headlines, stress testing, and those topical anti-lock breaks and power steering, painstakingly stitching, leather seating so soft, it would make JD power and her associates blush to create the luxury sedan that is my nightly monologue. But sometimes, you sometimes, folks. I lurched a consciousness in the back of an abandoned school bus and slap myself a wig.\"]\n\n========================================================================================================================\n\n"
+            }
+        }
+    }
+}