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swe-smith-run-resolved

run judging · software engineering · 200 items · primary question type noul. Source SWE-bench/SWE-smith-trajectories (MIT); labels are verifier labels, never an LLM judge. Download these samples (JSON).

SystemDecisionScoreAccuracy (top pick)Answered
JevFish81.272.0%200 / 200
System One Scorer71.850.0%200 / 200
decider-2b69.846.0%200 / 200
Jev60.250.5%200 / 200
OpenJev51.149.5%200 / 200
NanoJev0.30.0%1 / 200
Sample 1 of 6 · real-time-and-agents:swesmith-442435787b81 · 491 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: Perfect! The original script also works correctly. ## Summary of Changes The issue was in the `list_domain_names` method of the `OpenSearchServiceBackend` class, where it was trying to access `domain.engine_version.options` which might not exist in some cases. Here's what we did to fix it: 1. Added a safe way to get the engine version string using `getattr(domain.engine_version, 'options', …
  2. assistant: I need to remove the test scripts I created for reproducing and testing the issue: <function=bash> <parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter> </function>
  3. assistant: Now let's submit again: <function=submit> </function>
Full state (JSON)
{
  "repo": "getmoto__moto",
  "task": "# OpenSearch engine_version.options attribute error in list_domain_names method\n\nWhen trying to list domain names with an engine type filter, the code is trying to access a non-existent attribute `options` on the `engine_version` property.\n\n## Reproduction\n\nWhen creating an OpenSearch domain and then trying to list domains with an engine type filter:\n\n```python\nimport boto3\n\n# Create a client\nclient = boto3.client('opensearch', region_name='us-east-1')\n\n# Create a domain\nclient.create_domain(DomainName='testdomain')\n\n# Try to list domains with engine type filter\nclient.list_domain_names(EngineType='OpenSearch')\n```\n\nThis results in an error because the code is trying to access `engine_version.options` which doesn't exist.\n\nThe issue is in the `list_domain_names` method in the OpenSearchServiceBackend class, where it's checking if the engine type is in `domain.engine_version.options`, but `engine_version` doesn't have an `options` attribute.\n\nAdditionally, there's a similar issue in the same method where it's trying to use `domain.engine_version.options.split('_')[0]` when no engine type filter is provided.\n\nThis affects both the OpenSearch and Elasticsearch implementations since they share code paths.",
  "n_steps": 26,
  "last_turns": [
    "Perfect! The original script also works correctly.\n\n## Summary of Changes\n\nThe issue was in the `list_domain_names` method of the `OpenSearchServiceBackend` class, where it was trying to access `domain.engine_version.options` which might not exist in some cases. Here's what we did to fix it:\n\n1. Added a safe way to get the engine version string using `getattr(domain.engine_version, 'options', …",
    "I need to remove the test scripts I created for reproducing and testing the issue:\n\n<function=bash>\n<parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter>\n</function>",
    "Now let's submit again:\n\n<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [],
    "head": ""
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: no

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnocorrect59.3%0.834
  • yes 40.7%
  • no 59.3%
System One Scoreryes
input truncated
wrong27.8%0.479
  • yes 72.2%
  • no 27.8%
decider-2bnocorrect57.2%0.817
  • yes 42.8%
  • no 57.2%
Jevnocorrect58.0%0.824
  • yes 42.0%
  • no 58.0%
OpenJevnocorrect99.9%1.000
  • yes 0.1%
  • no 99.9%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 2 of 6 · real-time-and-agents:swesmith-a57fb8697ccb · 877 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: You're absolutely right, I forgot to include a function call in my last message. Let me submit the changes we've made to fix the CDD file parsing issues: <function=submit> </function>
  2. assistant: Let me remove the test scripts we created: <function=bash> <parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter> </function>
  3. assistant: Now let's submit again: <function=submit> </function>
Full state (JSON)
{
  "repo": "cantools__cantools",
  "task": "# CDD file parsing issues with partial file reading\n\nI've encountered several issues when working with CDD files in the cantools library. The problems appear to be related to how the library reads and processes CDD files.\n\n## Issue Description\n\nWhen trying to load a CDD file with an invalid byte order, I'm getting an unexpected error:\n\n```\nTypeError: Database.add_cdd() takes 2 positional arguments but 3 were given\n```\n\nThis happens when I try to load a CDD file with an invalid byte order code.\n\n## Steps to Reproduce\n\n1. Create a CDD file with an invalid byte order (like in the test file `tests/files/cdd/invalid-bo-example.cdd`)\n2. Try to load it using:\n```python\ndb = cantools.db.diagnostics.Database()\ndb.add_cdd_file('path/to/invalid-bo-example.cdd', encoding='iso-8859-1')\n```\n\n## Expected Behavior\n\nThe library should properly report that the byte order is invalid with a clear error message like:\n```\nUnknown byte order code: 4321\n```\n\n## Actual Behavior\n\nInstead, I get a TypeError about incorrect number of arguments to the `add_cdd()` method.\n\nAdditionally, I've noticed that when loading valid CDD files, the data seems to be incomplete or incorrectly processed. For example, when loading a file and then printing the database representation, some DIDs appear to be missing or have incorrect data.\n\nI suspect this might be related to how the file is being read - possibly only reading part of the file content instead of the entire file.\n\n## Environment\n- cantools version: latest\n- …",
  "n_steps": 30,
  "last_turns": [
    "You're absolutely right, I forgot to include a function call in my last message. Let me submit the changes we've made to fix the CDD file parsing issues:\n\n<function=submit>\n</function>",
    "Let me remove the test scripts we created:\n\n<function=bash>\n<parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter>\n</function>",
    "Now let's submit again:\n\n<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [
      "safety/scan/finder/file_finder.py",
      "safety/scan/finder/handlers.py",
      "safety/scan/validators.py"
    ],
    "head": "diff --git a/safety/scan/finder/file_finder.py b/safety/scan/finder/file_finder.py\nindex f6cc101..74975b9 100644\n--- a/safety/scan/finder/file_finder.py\n+++ b/safety/scan/finder/file_finder.py\n@@ -28,16 +28,24 @@ def should_exclude(excludes: Set[Path], to_analyze: Path) -> bool:\n         to_analyze = to_analyze.resolve()\n \n     for exclude in excludes:\n+        if not exclude.is_absolute():\n+            exclude = exclude.resolve()\n+            \n         try:\n-            if exclude.is_absolute():\n-                exclude = exclude.relative_to(to_analyze)\n-            if to_analyze == exclude or \\\n-                exclude.relative_to(to_analyze):\n-                return __debug__\n+            # Check if to_analyze is equal to exclude or is a subpath of exclude\n+            if to_analyze == exclude or to_analyze.is_relative_to(exclude):\n+                return True\n+        except AttributeError:\n+            # For Python < 3.9 compatibility (is_relative_to was added in 3.9)\n+            try:\n+                to_analyze.relative_to(exclude)\n+                return True\n+            except ValueError:\n+                pass\n         except ValueError:\n-            continue\n+ …"
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: no

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnocorrect89.9%0.990
  • yes 10.1%
  • no 89.9%
System One Scoreryes
input truncated
wrong35.6%0.586
  • yes 64.4%
  • no 35.6%
decider-2byeswrong37.1%0.604
  • yes 62.9%
  • no 37.1%
Jevnocorrect94.0%0.996
  • yes 6.0%
  • no 94.0%
OpenJevnocorrect99.9%1.000
  • yes 0.1%
  • no 99.9%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 3 of 6 · real-time-and-agents:swesmith-b6a59395c995 · 548 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: Perfect! The edge cases are handled correctly: 1. When `tries=1`, the function executes once and doesn't retry, which is the expected behavior. 2. When an error is raised that's not in the specified errors, it's not caught by the retry mechanism. 3. The retry function works correctly when combined with other decorators. ## Summary of the fix The issue was that the `retry` function had a double …
  2. assistant: Let me remove the test scripts I created: <function=bash> <parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter> </function>
  3. assistant: Now let's submit again: <function=submit> </function>
Full state (JSON)
{
  "repo": "Suor__funcy",
  "task": "# Double decorator on retry function causes unexpected behavior\n\nWhile working with the retry function, I noticed that it's not working as expected. The function is supposed to retry a callable up to a specified number of times when it encounters certain errors, but it seems to be failing.\n\n## Description\n\nThe retry function in funcy/flow.py has a double @decorator annotation which is causing unexpected behavior. When using the retry function, it doesn't properly retry the specified number of times and fails to handle errors correctly.\n\n## Steps to reproduce\n\nHere's a simple example that demonstrates the issue:\n\n```python\nfrom funcy import retry\n\nclass MyError(Exception):\n    pass\n\n@retry(3, MyError)\ndef failing_function():\n    print(\"Attempting...\")\n    raise MyError(\"Something went wrong\")\n    \n# This should retry 3 times but it doesn't work correctly\nfailing_function()\n```\n\nThe function should retry 2 times (for a total of 3 attempts) before finally raising the exception, but it doesn't behave as expected.\n\nAdditionally, the timeout parameter doesn't work correctly. When using a callable for the timeout parameter, it doesn't calculate the sleep time properly:\n\n```python\n@retry(4, MyError, timeout=lambda attempt: 2 ** attempt)\ndef another_failing_function():\n    raise MyError(\"Something went wrong\")\n    \n# The timeout calculation is incorrect\nanother_failing_function()\n```\n\nThe filter_errors parameter is also affected and doesn't properly filter errors as it should.",
  "n_steps": 12,
  "last_turns": [
    "Perfect! The edge cases are handled correctly:\n\n1. When `tries=1`, the function executes once and doesn't retry, which is the expected behavior.\n2. When an error is raised that's not in the specified errors, it's not caught by the retry mechanism.\n3. The retry function works correctly when combined with other decorators.\n\n## Summary of the fix\n\nThe issue was that the `retry` function had a double …",
    "Let me remove the test scripts I created:\n\n<function=bash>\n<parameter=command>rm /testbed/reproduce_error.py /testbed/test_edge_cases.py</parameter>\n</function>",
    "Now let's submit again:\n\n<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [],
    "head": ""
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: yes

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnowrong41.5%0.657
  • yes 41.5%
  • no 58.5%
System One Scoreryes
input truncated
correct66.5%0.888
  • yes 66.5%
  • no 33.5%
decider-2byescorrect56.0%0.806
  • yes 56.0%
  • no 44.0%
Jevnowrong37.0%0.603
  • yes 37.0%
  • no 63.0%
OpenJevnowrong0.1%0.003
  • yes 0.1%
  • no 99.9%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 4 of 6 · real-time-and-agents:swesmith-cb4bdf3c868f · 800 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: Perfect! The command-line interface also handles all the edge cases correctly. ## Final Summary We've successfully implemented the missing `gobble()` method in the `CCHarvester` class. Here's a summary of what we did: 1. We identified the issue: The `CCHarvester` class was missing the `gobble()` method, which is required for analyzing cyclomatic complexity. 2. We implemented the `gobble()` …
  2. assistant: Let's clean up our test files and submit again: <function=bash> <parameter=command>cd /testbed && rm -f complex_function.py debug_error.py edge_cases.py empty_file.py nested_functions.py no_functions.py reproduce_error.py syntax_error.py test_file.py</parameter> </function>
  3. assistant: <function=submit> </function>
Full state (JSON)
{
  "repo": "rubik__radon",
  "task": "# CCHarvester.gobble() method missing\n\nI was trying to analyze some Python code with Radon and ran into an issue where the cyclomatic complexity analysis fails.\n\n## Steps to reproduce\n\n1. Create a Python file to analyze:\n```python\ndef complex_function(x):\n    if x > 0:\n        if x < 10:\n            return \"small positive\"\n        else:\n            return \"large positive\"\n    else:\n        if x < -10:\n            return \"large negative\"\n        else:\n            return \"small negative\"\n```\n\n2. Try to analyze it with Radon:\n```\nradon cc my_file.py\n```\n\n## Expected behavior\nThe command should output the cyclomatic complexity metrics for the function in the file.\n\n## Actual behavior\nThe command fails with a NotImplementedError. Looking at the code, it seems the `gobble()` method is missing from the `CCHarvester` class, which is needed to analyze the file content.\n\nWhen I looked at the source code, I noticed that the `gobble()` method that should be in the `CCHarvester` class is not there, while other harvester classes like `RawHarvester` have their own implementation of this method.\n\nThis is preventing any cyclomatic complexity analysis from working properly.",
  "n_steps": 28,
  "last_turns": [
    "Perfect! The command-line interface also handles all the edge cases correctly.\n\n## Final Summary\n\nWe've successfully implemented the missing `gobble()` method in the `CCHarvester` class. Here's a summary of what we did:\n\n1. We identified the issue: The `CCHarvester` class was missing the `gobble()` method, which is required for analyzing cyclomatic complexity.\n\n2. We implemented the `gobble()` …",
    "Let's clean up our test files and submit again:\n\n<function=bash>\n<parameter=command>cd /testbed && rm -f complex_function.py debug_error.py edge_cases.py empty_file.py nested_functions.py no_functions.py reproduce_error.py syntax_error.py test_file.py</parameter>\n</function>",
    "<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [
      "src/pptx/chart/axis.py"
    ],
    "head": "diff --git a/src/pptx/chart/axis.py b/src/pptx/chart/axis.py\nindex 3cae061..6eb089c 100644\n--- a/src/pptx/chart/axis.py\n+++ b/src/pptx/chart/axis.py\n@@ -377,18 +377,18 @@ class TickLabels(object):\n \n     @property\n     def number_format_is_linked(self):\n-        if numFmt is None:\n-            return False\n-        if souceLinked is None:\n-            return True\n-        souceLinked = numFmt.sourceLinked\n-        return numFmt.sourceLinked\n         \"\"\"\n         Read/write boolean specifying whether number formatting should be\n         taken from the source spreadsheet rather than the value of\n         :meth:`number_format`.\n         \"\"\"\n         numFmt = self._element.numFmt\n+        if numFmt is None:\n+            return False\n+        sourceLinked = numFmt.sourceLinked\n+        if sourceLinked is None:\n+            return True\n+        return sourceLinked\n     @number_format_is_linked.setter\n     def number_format_is_linked(self, value):\n         numFmt = self._element.get_or_add_numFmt()"
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: yes

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnowrong18.6%0.338
  • yes 18.6%
  • no 81.4%
System One Scoreryes
input truncated
correct73.2%0.928
  • yes 73.2%
  • no 26.9%
decider-2bnowrong27.7%0.477
  • yes 27.7%
  • no 72.3%
Jevnowrong6.0%0.116
  • yes 6.0%
  • no 94.0%
OpenJevnowrong0.0%0.001
  • yes 0.0%
  • no 100.0%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 5 of 6 · real-time-and-agents:swesmith-ef03ee3e9385 · 733 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: Excellent! Our comprehensive tests confirm that all the issues have been fixed correctly. Let's submit our changes. <function=submit> </function>
  2. assistant: Let's remove the test files we created: <function=bash> <parameter=command>rm -f /testbed/reproduce_issues.py /testbed/comprehensive_test.py /testbed/config.py</parameter> </function>
  3. assistant: <function=submit> </function>
Full state (JSON)
{
  "repo": "pallets__flask",
  "task": "# Multiple issues with Flask configuration handling\n\nI've found several issues with the configuration handling in Flask:\n\n## Issue 1: ConfigAttribute sets lowercase config keys\n\nWhen setting a config attribute on an app object, the attribute name is incorrectly converted to lowercase before being stored in the config dictionary. This breaks functionality that depends on uppercase config keys.\n\n```python\nfrom flask import Flask\n\napp = Flask(__name__)\napp.secret_key = \"test key\"\nprint(app.config)  # Shows 'secret_key' instead of 'SECRET_KEY'\n```\n\n## Issue 2: from_pyfile has incorrect path handling\n\nThe `from_pyfile` method incorrectly joins paths, swapping the order of arguments to `os.path.join`. This causes configuration files to not be found.\n\n```python\nfrom flask import Flask\nimport os\n\napp = Flask(__name__)\n# This fails with an error instead of loading the config\napp.config.from_pyfile('config.py')  \n```\n\n## Issue 3: from_mapping has incorrect parameter handling\n\nThe `from_mapping` method incorrectly updates the mappings dictionary, causing kwargs to be overwritten by the mapping parameter instead of the other way around.\n\n```python\nfrom flask import Flask\n\napp = Flask(__name__)\n# The TEST_VALUE from kwargs gets overwritten by the mapping\napp.config.from_mapping({'TEST_VALUE': 'from mapping'}, TEST_VALUE='from kwargs')\nprint(app.config['TEST_VALUE'])  # Shows 'from mapping' instead of 'from kwargs'\n```\n\n## Issue 4: from_mapping only accepts lowercase keys\n\nThe …",
  "n_steps": 25,
  "last_turns": [
    "Excellent! Our comprehensive tests confirm that all the issues have been fixed correctly. Let's submit our changes.\n\n<function=submit>\n</function>",
    "Let's remove the test files we created:\n\n<function=bash>\n<parameter=command>rm -f /testbed/reproduce_issues.py /testbed/comprehensive_test.py /testbed/config.py</parameter>\n</function>",
    "<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [
      "line_profiler/line_profiler.py"
    ],
    "head": "diff --git a/line_profiler/line_profiler.py b/line_profiler/line_profiler.py\nindex 2285018..723075f 100755\n--- a/line_profiler/line_profiler.py\n+++ b/line_profiler/line_profiler.py\n@@ -33,7 +33,7 @@ def load_ipython_extension(ip):\n \n \n def is_coroutine(f):\n-    return inspect.isgeneratorfunction(f)\n+    return inspect.iscoroutinefunction(f)\n \n \n CO_GENERATOR = 0x0020\n@@ -147,9 +147,9 @@ class LineProfiler(CLineProfiler):\n         def wrapper(*args, **kwds):\n             self.enable_by_count()\n             try:\n-                result = func(**kwds)\n+                result = func(*args, **kwds)\n             finally:\n-                self.enable_by_count()\n+                self.disable_by_count()\n             return result\n         return wrapper"
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: no

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnocorrect58.3%0.826
  • yes 41.7%
  • no 58.3%
System One Scoreryes
input truncated
wrong31.9%0.535
  • yes 68.2%
  • no 31.9%
decider-2byeswrong50.0%0.750
  • yes 50.0%
  • no 50.0%
Jevnocorrect94.0%0.996
  • yes 6.0%
  • no 94.0%
OpenJevnocorrect99.8%1.000
  • yes 0.2%
  • no 99.8%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 6 of 6 · real-time-and-agents:swesmith-fd5d17dcbe9a · 994 state tokens (long tier)

Turn 1 — the request (identical for every system)

  1. assistant: Great! All the issues have been fixed. Let's summarize the changes we made: 1. Fixed the `is_binary` function to: - Properly handle bytes, bytearray, and file-like objects (including BytesIO) - Correctly identify binary files by checking for null bytes, high frequency of control characters, and common binary file signatures 2. Improved ASCII detection by: - Adding a special check at …
  2. assistant: Let's remove the reproduction script and submit again: <function=bash> <parameter=command>rm /testbed/reproduce.py</parameter> </function>
  3. assistant: <function=submit> </function>
Full state (JSON)
{
  "repo": "jawah__charset_normalizer",
  "task": "# Charset Normalizer Encoding Detection Issues\n\n## Description\nI'm experiencing several issues with the charset_normalizer library when trying to detect encodings. The library seems to be incorrectly identifying binary files as text and vice versa, and has problems with various encoding detection scenarios.\n\n## Steps/Code to Reproduce\n\n```python\nfrom charset_normalizer import from_bytes, is_binary\nimport io\n\n# Example 1: Binary detection failing\nbinary_data = b'\\x00_/\\xff' * 50\nresult = is_binary(binary_data)\nprint(f\"Binary detection result: {result}\")  # Should be True but returns False\n\n# Example 2: ASCII detection failing\nascii_text = ('0' * 10000).encode('utf_8')\nbest_guess = from_bytes(ascii_text).best()\nprint(f\"ASCII detection: {best_guess.encoding}\")  # Should be 'ascii' but returns something else\n\n# Example 3: UTF-8 with emoji detection failing\nemoji_text = '😀 Hello World! How affairs are going? 😀'.encode()\nbest_guess = from_bytes(emoji_text).best()\nprint(f\"Alphabets detected: {best_guess.alphabets}\")  # Should include 'Basic Latin' and 'Emoticons range(Emoji)'\n```\n\n## Expected Results\n- Binary files should be correctly identified as binary\n- ASCII text should be detected as ASCII encoding\n- UTF-8 text with emojis should be correctly detected with proper alphabet identification\n- The library should handle large payloads correctly\n\n## Actual Results\n- Binary files are incorrectly identified as text\n- ASCII text is not properly detected\n- Emoji and special character …",
  "n_steps": 46,
  "last_turns": [
    "Great! All the issues have been fixed. Let's summarize the changes we made:\n\n1. Fixed the `is_binary` function to:\n   - Properly handle bytes, bytearray, and file-like objects (including BytesIO)\n   - Correctly identify binary files by checking for null bytes, high frequency of control characters, and common binary file signatures\n\n2. Improved ASCII detection by:\n   - Adding a special check at …",
    "Let's remove the reproduction script and submit again:\n\n<function=bash>\n<parameter=command>rm /testbed/reproduce.py</parameter>\n</function>",
    "<function=submit>\n</function>"
  ],
  "final_observation": "Your command ran successfully and did not produce any output.",
  "patch": {
    "files": [
      "pygments/lexers/nix.py"
    ],
    "head": "diff --git a/pygments/lexers/nix.py b/pygments/lexers/nix.py\nindex a052906..211c3a8 100644\n--- a/pygments/lexers/nix.py\n+++ b/pygments/lexers/nix.py\n@@ -34,7 +34,7 @@ class NixLexer(RegexLexer):\n     builtins = ['import', 'abort', 'baseNameOf', 'dirOf', 'isNull', 'builtins',\n                 'map', 'removeAttrs', 'throw', 'toString', 'derivation']\n     operators = ['++', '+', '?', '.', '!', '//', '==',\n-                 '!=', '&&', '||', '->', '=']\n+                 '!=', '&&', '||', '->', '=', '/', '>', '<', '*']\n     punctuations = [\"(\", \")\", \"[\", \"]\", \";\", \"{\", \"}\", \":\", \",\", \"@\"]\n \n     tokens = {\n@@ -67,12 +67,13 @@ class NixLexer(RegexLexer):\n             # punctuations\n             ('({})'.format('|'.join(re.escape(entry) for entry in punctuations)), Punctuation),\n \n-            # integers\n+            # integers and floats\n+            (r'[0-9]+\\.[0-9]+', Number.Float),\n             (r'[0-9]+', Number.Integer),\n \n             # strings\n             (r'\"', String.Double, 'doublequote'),\n-            (r\"''\", String.Single, 'singlequote'),\n+            (r\"''\", String.Single, 'multiline'),\n \n             # paths\n             (r'[\\w.+-]*(\\/[\\w.+-]+)+', Literal),\n@@ -94,20 …"
  }
}

Question resolved · noul · primary (ranked)

Given `task` (the GitHub issue the agent was asked to fix), `last_turns`, `final_observation` and `patch`, would the hidden repository test suite for this issue pass after applying `patch`? Answer yes only if the run most likely fixed the issue.

2 options
  • yes
  • no

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: no

SystemTop pickGradeP(expected)Proper scoreDistribution
JevFishnocorrect82.5%0.970
  • yes 17.4%
  • no 82.5%
System One Scoreryes
input truncated
wrong39.8%0.638
  • yes 60.2%
  • no 39.8%
decider-2bnocorrect67.3%0.893
  • yes 32.7%
  • no 67.3%
Jevnocorrect94.0%0.996
  • yes 6.0%
  • no 94.0%
OpenJevnocorrect99.9%1.000
  • yes 0.1%
  • no 99.9%
NanoJevunanswered · 00no answer (input over this system's limit)