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python3 scripts/run.py scripts/config_swebench.yaml
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
🐸 [debug-gym ]: WARNING Experiment log path: exps/swebench-lite/193cb57d-bb76-45ab-a9d3-d2874e5929aa
Base image sweb.base.arm64:latest already exists, skipping build.
Building base image (sweb.base.x86_64:latest)
Traceback (most recent call last):
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 147, in build_image
raise docker.errors.BuildError(
chunk["errorDetail"]["message"], buildlog
)
docker.errors.BuildError: The command '/bin/sh -c wget 'https://repo.anaconda.com/miniconda/Miniconda3-py311_23.11.0-2-Linux-x86_64.sh' -O miniconda.sh && bash miniconda.sh -b -p /opt/miniconda3' returned a non-zero code: 133
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 188, in
main()
~~~~^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 112, in main
env = create_env(config, logger=logger)
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 85, in create_env
env = env_class(**config["env_kwargs"], terminal=terminal, logger=logger)
File "/Users/saurav/Downloads/debug-gym/debug-gym/debug_gym/gym/envs/swe_bench.py", line 54, in init
self.load_dataset()
~~~~~~~~~~~~~~~~~^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/debug_gym/gym/envs/swe_bench.py", line 95, in load_dataset
build_env_images(
~~~~~~~~~~~~~~~~^
docker_client,
^^^^^^^^^^^^^^
...<2 lines>...
max_workers=24,
^^^^^^^^^^^^^^^
)
^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 276, in build_env_images
build_base_images(client, dataset, force_rebuild)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 198, in build_base_images
build_image(
~~~~~~~~~~~^
image_name=image_name,
^^^^^^^^^^^^^^^^^^^^^^
...<4 lines>...
build_dir=BASE_IMAGE_BUILD_DIR / image_name.replace(":", "__"),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 153, in build_image
raise BuildImageError(image_name, str(e), logger) from e
swebench.harness.docker_build.BuildImageError: Error building image sweb.base.x86_64:latest: The command '/bin/sh -c wget 'https://repo.anaconda.com/miniconda/Miniconda3-py311_23.11.0-2-Linux-x86_64.sh' -O miniconda.sh && bash miniconda.sh -b -p /opt/miniconda3' returned a non-zero code: 133
Check (logs/build_images/base/sweb.base.x86_64__latest/build_image.log) for more information.
The text was updated successfully, but these errors were encountered:
python3 scripts/run.py scripts/config_swebench.yaml
None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.
🐸 [debug-gym ]: WARNING Experiment log path: exps/swebench-lite/193cb57d-bb76-45ab-a9d3-d2874e5929aa
Base image sweb.base.arm64:latest already exists, skipping build.
Building base image (sweb.base.x86_64:latest)
Traceback (most recent call last):
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 147, in build_image
raise docker.errors.BuildError(
chunk["errorDetail"]["message"], buildlog
)
docker.errors.BuildError: The command '/bin/sh -c wget 'https://repo.anaconda.com/miniconda/Miniconda3-py311_23.11.0-2-Linux-x86_64.sh' -O miniconda.sh && bash miniconda.sh -b -p /opt/miniconda3' returned a non-zero code: 133
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 188, in
main()
~~~~^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 112, in main
env = create_env(config, logger=logger)
File "/Users/saurav/Downloads/debug-gym/debug-gym/scripts/run.py", line 85, in create_env
env = env_class(**config["env_kwargs"], terminal=terminal, logger=logger)
File "/Users/saurav/Downloads/debug-gym/debug-gym/debug_gym/gym/envs/swe_bench.py", line 54, in init
self.load_dataset()
~~~~~~~~~~~~~~~~~^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/debug_gym/gym/envs/swe_bench.py", line 95, in load_dataset
build_env_images(
~~~~~~~~~~~~~~~~^
docker_client,
^^^^^^^^^^^^^^
...<2 lines>...
max_workers=24,
^^^^^^^^^^^^^^^
)
^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 276, in build_env_images
build_base_images(client, dataset, force_rebuild)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 198, in build_base_images
build_image(
~~~~~~~~~~~^
image_name=image_name,
^^^^^^^^^^^^^^^^^^^^^^
...<4 lines>...
build_dir=BASE_IMAGE_BUILD_DIR / image_name.replace(":", "__"),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/Users/saurav/Downloads/debug-gym/debug-gym/env/lib/python3.13/site-packages/swebench/harness/docker_build.py", line 153, in build_image
raise BuildImageError(image_name, str(e), logger) from e
swebench.harness.docker_build.BuildImageError: Error building image sweb.base.x86_64:latest: The command '/bin/sh -c wget 'https://repo.anaconda.com/miniconda/Miniconda3-py311_23.11.0-2-Linux-x86_64.sh' -O miniconda.sh && bash miniconda.sh -b -p /opt/miniconda3' returned a non-zero code: 133
Check (logs/build_images/base/sweb.base.x86_64__latest/build_image.log) for more information.
The text was updated successfully, but these errors were encountered: