From 6a0ffc5c619dff80487c40bdf9f5c6ff062cb367 Mon Sep 17 00:00:00 2001 From: Xingyao Wang Date: Tue, 2 Jul 2024 07:58:30 +0800 Subject: [PATCH] [Evaluation] Use the latest official SWE-Bench Dockerization for evaluation (#2728) * add newline after patch to fix patch apply * new swebench wip * add newline after patch to fix patch apply * only add newline if not empty * update swebench source and update * update gitignore for swebench eval * update old prep_eval * update gitignore * add scripts for push and pull swebench images * update eval_infer.sh * update eval_infer for new docker workflow * update script to create markdown report based on report.json * update eval infer to use update output * update readme * only move result to folder if running whole file * remove set-x * update conversion script * Update evaluation/swe_bench/README.md * Update evaluation/swe_bench/README.md * Update evaluation/swe_bench/README.md * make sure last line end with newline * switch to an fix attempt branch of swebench * Update evaluation/swe_bench/README.md * Update evaluation/swe_bench/README.md --------- Co-authored-by: Engel Nyst --- .gitignore | 6 +- evaluation/swe_bench/README.md | 22 +- .../all-swebench-lite-instance-images.txt | 336 ++++++++++++ .../scripts/docker/pull_all_eval_docker.sh | 50 +- .../scripts/docker/push_eval_docker.sh | 30 + .../eval/convert_od_output_to_swe_json.py | 31 +- .../swe_bench/scripts/eval/prep_eval.sh | 5 + .../scripts/eval/update_output_with_eval.py | 49 +- evaluation/swe_bench/scripts/eval_infer.sh | 65 ++- poetry.lock | 513 +++++++++--------- pyproject.toml | 3 +- 11 files changed, 803 insertions(+), 307 deletions(-) create mode 100644 evaluation/swe_bench/scripts/docker/all-swebench-lite-instance-images.txt create mode 100644 evaluation/swe_bench/scripts/docker/push_eval_docker.sh diff --git a/.gitignore b/.gitignore index a3cbfe7af5..daa5a47358 100644 --- a/.gitignore +++ b/.gitignore @@ -212,4 +212,8 @@ cache config.toml config.toml.bak -containers/agnostic_sandbox \ No newline at end of file +containers/agnostic_sandbox + +# swe-bench-eval +image_build_logs +run_instance_logs diff --git a/evaluation/swe_bench/README.md b/evaluation/swe_bench/README.md index 966ed5c3c8..59f7f9e911 100644 --- a/evaluation/swe_bench/README.md +++ b/evaluation/swe_bench/README.md @@ -2,6 +2,8 @@ This folder contains the evaluation harness that we built on top of the original [SWE-Bench benchmark](https://www.swebench.com/) ([paper](https://arxiv.org/abs/2310.06770)). We created [a fork of SWE-Bench](https://github.com/OpenDevin/OD-SWE-bench.git) mostly built on top of [the original repo](https://github.com/princeton-nlp/SWE-bench) and [containerized](#opendevin-swe-bench-docker-image) it for easy evaluation. +**UPDATE (7/1/2024): We now support the official SWE-Bench dockerized evaluation as announced [here](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md).** + ## Setup Environment Please follow [this document](https://github.com/OpenDevin/OpenDevin/blob/main/Development.md) to set up a local development environment for OpenDevin. @@ -10,7 +12,7 @@ Please follow [this document](https://github.com/OpenDevin/OpenDevin/blob/main/D In [OpenDevin-SWE-Bench fork](https://github.com/OpenDevin/OD-SWE-bench.git) (mostly from [original repo](https://github.com/princeton-nlp/SWE-bench) with some fixes), we try to pre-build the **testbed** (i.e., code of the repository we want the agent to edit) AND the **conda environment**, so that in evaluation (inference) time, we can directly leverage existing environments for efficient evaluation. -**We pack everything you need for SWE-Bench evaluation into one, gigantic, docker image.** To use it: +**We pack everything you need for SWE-Bench inference into one, gigantic, docker image.** To use it: ```bash docker pull ghcr.io/opendevin/eval-swe-bench:full-v1.2.1 @@ -124,16 +126,23 @@ After running the inference, you will obtain a `output.jsonl` (by default it wil With `output.jsonl` file, you can run `eval_infer.sh` to evaluate generated patches, and produce a fine-grained report. +**This evaluation is performed using the official dockerized evaluation announced [here](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md).** + If you want to evaluate existing results, you should first run this to clone existing outputs ```bash git clone https://huggingface.co/spaces/OpenDevin/evaluation evaluation/evaluation_outputs ``` -To prepare for swe-bench evaluation, you should pull evaluation docker from [OpenDevin/SWE-bench-docker](https://github.com/OpenDevin/SWE-bench-docker) and download swe-bench data by running: +If you have extra local space (e.g., 500GB), you can try pull the [instance-level docker images](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md#choosing-the-right-cache_level) we've prepared to speed up the evaluation by running: ```bash -evaluation/swe_bench/scripts/eval/prep_eval.sh +evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh instance +``` + +If you want to save disk space a bit (e.g., with ~50GB free disk space), while speeding up the image pre-build process, you can pull the environment-level docker images: +```bash +evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh env ``` Then you can run the following: @@ -146,12 +155,11 @@ Then you can run the following: PS: You can also pass in a JSONL with [SWE-Bench format](https://github.com/princeton-nlp/SWE-bench/blob/main/tutorials/evaluation.md#-creating-predictions) to `./evaluation/swe_bench/scripts/eval_infer.sh`, where each line is a JSON of `{"model_patch": "XXX", "model_name_or_path": "YYY", "instance_id": "ZZZ"}`. -The final results will be saved to `evaluation/evaluation_outputs/outputs/swe_bench/CodeActAgent/gpt-4-1106-preview_maxiter_50_N_v1.0/` with the following files/directory (following format of [SWE-bench-docker](https://github.com/aorwall/SWE-bench-docker/tree/main/evaluations/SWE-bench_Lite_golden)): +The final results will be saved to `evaluation/evaluation_outputs/outputs/swe_bench/CodeActAgent/gpt-4-1106-preview_maxiter_50_N_v1.0/` with the following files/directory: - `README.md`: a report showing what are the instances that passed, failed, etc. -- `logs/`: a directory of test logs -- `report.json`: a JSON file that contains keys like `"resolved"` pointing to instance IDs that are resolved by the agent. -- `summary.json`: a JSON file contains more fine-grained information for each test instance. +- `report.json`: a JSON file that contains keys like `"resolved_ids"` pointing to instance IDs that are resolved by the agent. +- `eval_outputs/`: a directory of test logs ## Visualize Results diff --git a/evaluation/swe_bench/scripts/docker/all-swebench-lite-instance-images.txt b/evaluation/swe_bench/scripts/docker/all-swebench-lite-instance-images.txt new file mode 100644 index 0000000000..845f4ddcf4 --- /dev/null +++ b/evaluation/swe_bench/scripts/docker/all-swebench-lite-instance-images.txt @@ -0,0 +1,336 @@ +sweb.base.x86_64:latest +sweb.env.x86_64.088a7e628bda9770f9757b:latest +sweb.env.x86_64.0d80c7dec81ee2f2f513e2:latest +sweb.env.x86_64.0f99bce2750f3109957bec:latest +sweb.env.x86_64.1b3b218535da0abf4469cb:latest +sweb.env.x86_64.1c1a6945f732f9391228c5:latest +sweb.env.x86_64.1f92e6d7cef88badc4f744:latest +sweb.env.x86_64.27dd9791e13f5c857a09f9:latest 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b/evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh index 5c884faa76..dc00c7f19d 100755 --- a/evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh +++ b/evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh @@ -1,7 +1,47 @@ #!/bin/bash +set -e -mkdir evaluation/swe_bench/eval_workspace -pushd evaluation/swe_bench/eval_workspace -git clone https://github.com/OpenDevin/SWE-bench-docker.git -cd SWE-bench-docker -scripts/pull_docker_images.sh docker/ xingyaoww +LEVEL=$1 +# three levels: +# - base, keyword "sweb.base" +# - env, keyword "sweb.env" +# - instance, keyword "sweb.eval" + +if [ -z "$LEVEL" ]; then + echo "Usage: $0 " + echo "cache_level: base, env, or instance" + exit 1 +fi + +NAMESPACE=xingyaoww +IMAGE_FILE="$(dirname "$0")/all-swebench-lite-instance-images.txt" + +# Define a pattern based on the level +case $LEVEL in + base) + PATTERN="sweb.base" + ;; + env) + PATTERN="sweb.base\|sweb.env" + ;; + instance) + PATTERN="sweb.base\|sweb.env\|sweb.eval" + ;; + *) + echo "Invalid cache level: $LEVEL" + echo "Valid levels are: base, env, instance" + exit 1 + ;; +esac + +echo "Pulling docker images for [$LEVEL] level" + +echo "Pattern: $PATTERN" +echo "Image file: $IMAGE_FILE" + +# Read each line from the file, filter by pattern, and pull the docker image +grep "$PATTERN" "$IMAGE_FILE" | while IFS= read -r image; do + echo "Pulling $NAMESPACE/$image into $image" + docker pull $NAMESPACE/$image + docker tag $NAMESPACE/$image $image +done diff --git a/evaluation/swe_bench/scripts/docker/push_eval_docker.sh b/evaluation/swe_bench/scripts/docker/push_eval_docker.sh new file mode 100644 index 0000000000..3f98eb6be1 --- /dev/null +++ b/evaluation/swe_bench/scripts/docker/push_eval_docker.sh @@ -0,0 +1,30 @@ +#!/bin/bash + +# This is ONLY used for pushing docker images created by https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md + +DOCKER_NAMESPACE=$1 +# check if DOCKER_NAMESPACE is set +if [ -z "$DOCKER_NAMESPACE" ]; then + echo "Usage: $0 " + exit 1 +fi + +# target namespace +image_list=$(docker image ls --format '{{.Repository}}:{{.Tag}}' | grep sweb | grep -v $DOCKER_NAMESPACE) + +# There are three tiers of images +# - base +# - env +# - eval (instance level) + +for image in $image_list; do + echo "==============================" + echo "Image: $image" + # rename image by replace "__" with "_s_" to comply with docker naming convention + new_image_name=${image//__/_s_} + docker tag $image $DOCKER_NAMESPACE/$new_image_name + echo "Tagged $image to $DOCKER_NAMESPACE/$new_image_name" + + docker push $DOCKER_NAMESPACE/$new_image_name + echo "Pushed $DOCKER_NAMESPACE/$new_image_name" +done diff --git a/evaluation/swe_bench/scripts/eval/convert_od_output_to_swe_json.py b/evaluation/swe_bench/scripts/eval/convert_od_output_to_swe_json.py index 0f72686fcf..cd2e8189d5 100644 --- a/evaluation/swe_bench/scripts/eval/convert_od_output_to_swe_json.py +++ b/evaluation/swe_bench/scripts/eval/convert_od_output_to_swe_json.py @@ -14,12 +14,37 @@ od_format = pd.read_json(args.od_output_file, orient='records', lines=True) model_name = os.path.basename(os.path.dirname(args.od_output_file)) +def process_git_patch(patch): + if not patch.strip(): + # skip empty patches + return '' + + patch = patch.replace('\r\n', '\n') + # There might be some weird characters at the beginning of the patch + # due to some OpenDevin inference command outputs + + # FOR EXAMPLE: + # git diff --no-color --cached 895f28f9cbed817c00ab68770433170d83132d90 + # 0 + # diff --git a/django/db/models/sql/.backup.query.py b/django/db/models/sql/.backup.query.py + # new file mode 100644 + # index 0000000000..fc13db5948 + + # We "find" the first line that starts with "diff" and then we remove lines before it + lines = patch.split('\n') + for i, line in enumerate(lines): + if line.startswith('diff --git'): + patch = '\n'.join(lines[i:]) + break + + patch = patch.rstrip() + '\n' # Make sure the last line ends with a newline + return patch + + def convert_row_to_swebench_format(row): return { 'instance_id': row['instance_id'], - 'model_patch': row['git_patch'].replace('\r\n', '\n').rstrip() + '\n' - if row['git_patch'].strip() - else '', + 'model_patch': process_git_patch(row['git_patch']), 'model_name_or_path': model_name, } diff --git a/evaluation/swe_bench/scripts/eval/prep_eval.sh b/evaluation/swe_bench/scripts/eval/prep_eval.sh index 0fdbd1afe0..81e03d0882 100755 --- a/evaluation/swe_bench/scripts/eval/prep_eval.sh +++ b/evaluation/swe_bench/scripts/eval/prep_eval.sh @@ -3,6 +3,11 @@ echo "Cloning OpenDevin SWE-Bench Fork" git clone https://github.com/OpenDevin/SWE-bench.git evaluation/swe_bench/eval_workspace/SWE-bench +# checkout to main-old +pushd evaluation/swe_bench/eval_workspace/SWE-bench +git checkout main-old +popd + echo "Pulling all evaluation dockers..." evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh diff --git a/evaluation/swe_bench/scripts/eval/update_output_with_eval.py b/evaluation/swe_bench/scripts/eval/update_output_with_eval.py index 35cb04a2b0..30da6cb35b 100644 --- a/evaluation/swe_bench/scripts/eval/update_output_with_eval.py +++ b/evaluation/swe_bench/scripts/eval/update_output_with_eval.py @@ -14,24 +14,44 @@ report_json = os.path.join(dirname, 'report.json') df = pd.read_json(args.input_file, lines=True) -instance_id_to_status = defaultdict(dict) +output_md_filepath = os.path.join(dirname, 'README.md') +instance_id_to_status = defaultdict(lambda: {'resolved': False}) if os.path.exists(report_json): with open(report_json, 'r') as f: report = json.load(f) + output_md = ( + "# SWE-bench Report\n" + "This folder contains the evaluation results of the SWE-bench using the [official evaluation docker containerization](https://github.com/princeton-nlp/SWE-bench/blob/main/docs/20240627_docker/README.md#choosing-the-right-cache_level).\n\n" + "## Summary\n" + f"- total instances: {report['total_instances']}\n" + f"- completed instances: {report['completed_instances']}\n" + f"- resolved instances: {report['resolved_instances']}\n" + f"- unresolved instances: {report['unresolved_instances']}\n" + f"- error instances: {report['error_instances']}\n" + f"- unstopped instances: {report['unstopped_instances']}\n" + ) + + output_md += '\n## Resolved Instances\n' # instance_id to status - for status, instance_ids in report.items(): - for instance_id in instance_ids: - if status == 'resolved': - instance_id_to_status[instance_id]['resolved'] = True - elif status == 'applied': - instance_id_to_status[instance_id]['applied'] = True - elif status == 'test_timeout': - instance_id_to_status[instance_id]['test_timeout'] = True - elif status == 'test_errored': - instance_id_to_status[instance_id]['test_errored'] = True - elif status == 'no_generation': - instance_id_to_status[instance_id]['empty_generation'] = True + for instance_id in report['resolved_ids']: + instance_id_to_status[instance_id]['resolved'] = True + output_md += ( + f'- [{instance_id}](./eval_outputs/{instance_id}/run_instance.log)\n' + ) + + output_md += '\n## Unresolved Instances\n' + for instance_id in report['unresolved_ids']: + output_md += ( + f'- [{instance_id}](./eval_outputs/{instance_id}/run_instance.log)\n' + ) + + output_md += '\n## Error Instances\n' + for instance_id in report['error_ids']: + instance_id_to_status[instance_id]['error_eval'] = True + output_md += ( + f'- [{instance_id}](./eval_outputs/{instance_id}/run_instance.log)\n' + ) # Apply the status to the dataframe def apply_report(row): @@ -52,3 +72,6 @@ if os.path.exists(args.input_file + '.bak'): # backup the original file os.rename(args.input_file, args.input_file + '.bak') df.to_json(args.input_file, orient='records', lines=True) + +with open(output_md_filepath, 'w') as f: + f.write(output_md) diff --git a/evaluation/swe_bench/scripts/eval_infer.sh b/evaluation/swe_bench/scripts/eval_infer.sh index 7bd158ef7e..61de49e625 100755 --- a/evaluation/swe_bench/scripts/eval_infer.sh +++ b/evaluation/swe_bench/scripts/eval_infer.sh @@ -19,8 +19,6 @@ echo "INSTANCE_ID: $INSTANCE_ID" PROCESS_FILEPATH=$(realpath $PROCESS_FILEPATH) FILE_DIR=$(dirname $PROCESS_FILEPATH) FILE_NAME=$(basename $PROCESS_FILEPATH) -mkdir -p $FILE_DIR/logs -mkdir -p $FILE_DIR/swe_bench_format echo "Evaluating $FILE_NAME @ $FILE_DIR" DOCKERHUB_NAMESPACE="xingyaoww" @@ -75,29 +73,58 @@ echo "==============================================================" echo "Running SWE-bench evaluation" echo "==============================================================" +RUN_ID=$(date +"%Y%m%d_%H%M%S") +N_PROCESS=16 + if [ -z "$INSTANCE_ID" ]; then echo "Running SWE-bench evaluation on the whole input file..." + # Default to SWE-Bench-lite + # change `--dataset_name` and `--split` to alter dataset - poetry run python $SWEBENCH_DOCKER_FORK_DIR/run_evaluation.py \ + poetry run python -m swebench.harness.run_evaluation \ --predictions_path $SWEBENCH_FORMAT_JSONL \ - --log_dir $FILE_DIR/logs \ - --swe_bench_tasks $SWEBENCH_TASKS \ - --namespace $DOCKERHUB_NAMESPACE \ - --timeout 1800 + --timeout 1800 \ + --cache_level instance \ + --max_workers $N_PROCESS \ + --run_id $RUN_ID + + # get the "model_name_or_path" from the first line of the SWEBENCH_FORMAT_JSONL + MODEL_NAME_OR_PATH=$(jq -r '.model_name_or_path' $SWEBENCH_FORMAT_JSONL | head -n 1) + echo "MODEL_NAME_OR_PATH: $MODEL_NAME_OR_PATH" + + RESULT_OUTPUT_DIR=$(dirname $SWEBENCH_FORMAT_JSONL) + echo "RESULT_OUTPUT_DIR: $RESULT_OUTPUT_DIR" + + # move the eval results to the target directory + mkdir -p $RESULT_OUTPUT_DIR + mv run_instance_logs/$RUN_ID/$MODEL_NAME_OR_PATH $RESULT_OUTPUT_DIR + mv $RESULT_OUTPUT_DIR/$MODEL_NAME_OR_PATH $RESULT_OUTPUT_DIR/eval_outputs + echo "RUN_ID: $RUN_ID" > $RESULT_OUTPUT_DIR/run_id.txt + + # move report file + REPORT_PATH=$MODEL_NAME_OR_PATH.$RUN_ID.json + if [ -f $REPORT_PATH ]; then + # check if $RESULT_OUTPUT_DIR/report.json exists + if [ -f $RESULT_OUTPUT_DIR/report.json ]; then + echo "Report file $RESULT_OUTPUT_DIR/report.json already exists. Overwriting..." + if [ -f $RESULT_OUTPUT_DIR/report.json.bak ]; then + rm $RESULT_OUTPUT_DIR/report.json.bak + fi + mv $RESULT_OUTPUT_DIR/report.json $RESULT_OUTPUT_DIR/report.json.bak + fi + + mv $REPORT_PATH $RESULT_OUTPUT_DIR/report.json + fi + + poetry run python evaluation/swe_bench/scripts/eval/update_output_with_eval.py $PROCESS_FILEPATH else echo "Running SWE-bench evaluation on the instance_id: $INSTANCE_ID" - poetry run python $SWEBENCH_DOCKER_FORK_DIR/run_single_instance.py \ + poetry run python -m swebench.harness.run_evaluation \ --predictions_path $SWEBENCH_FORMAT_JSONL \ - --swe_bench_tasks $SWEBENCH_TASKS \ - --namespace $DOCKERHUB_NAMESPACE \ - --instance_id $INSTANCE_ID + --timeout 1800 \ + --instance_ids $INSTANCE_ID \ + --cache_level instance \ + --max_workers $N_PROCESS \ + --run_id $RUN_ID fi - -poetry run python $SWEBENCH_DOCKER_FORK_DIR/generate_report.py \ - --predictions_path $SWEBENCH_FORMAT_JSONL \ - --log_dir $FILE_DIR/logs \ - --output_dir $FILE_DIR \ - --swe_bench_tasks $SWEBENCH_TASKS - -poetry run python evaluation/swe_bench/scripts/eval/update_output_with_eval.py $PROCESS_FILEPATH diff --git a/poetry.lock b/poetry.lock index 5825d59f0a..d1926ff75a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -298,13 +298,13 @@ aio = ["aiohttp (>=3.0)"] [[package]] name = "azure-identity" -version = "1.16.1" +version = "1.17.1" description = "Microsoft Azure Identity Library for Python" optional = false python-versions = ">=3.8" files = [ - {file = "azure-identity-1.16.1.tar.gz", hash = "sha256:6d93f04468f240d59246d8afde3091494a5040d4f141cad0f49fc0c399d0d91e"}, - {file = "azure_identity-1.16.1-py3-none-any.whl", hash = "sha256:8fb07c25642cd4ac422559a8b50d3e77f73dcc2bbfaba419d06d6c9d7cff6726"}, + {file = "azure-identity-1.17.1.tar.gz", hash = "sha256:32ecc67cc73f4bd0595e4f64b1ca65cd05186f4fe6f98ed2ae9f1aa32646efea"}, + {file = "azure_identity-1.17.1-py3-none-any.whl", hash = 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"nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"] flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"] flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] ftfy = ["ftfy"] @@ -6769,25 +6765,26 @@ natten = ["natten (>=0.14.6,<0.15.0)"] onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"] onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"] optuna = ["optuna"] -quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<2.0.0)"] +quality = ["GitPython (<3.1.19)", "datasets (!=2.5.0)", "isort (>=5.5.4)", "ruff (==0.4.4)", "urllib3 (<2.0.0)"] ray = ["ray[tune] (>=2.7.0)"] retrieval = ["datasets (!=2.5.0)", "faiss-cpu"] +ruff = ["ruff (==0.4.4)"] sagemaker = ["sagemaker (>=2.31.0)"] sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] serving = ["fastapi", "pydantic", "starlette", "uvicorn"] sigopt = ["sigopt"] sklearn = ["scikit-learn"] speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] -testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] -timm = ["timm"] +timm = ["timm (<=0.9.16)"] tokenizers = ["tokenizers (>=0.19,<0.20)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17,<2.0)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -7076,13 +7073,13 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)" [[package]] name = "virtualenv" -version = "20.26.2" +version = "20.26.3" description = "Virtual Python Environment builder" optional = false python-versions = ">=3.7" files = [ - {file = "virtualenv-20.26.2-py3-none-any.whl", hash = "sha256:a624db5e94f01ad993d476b9ee5346fdf7b9de43ccaee0e0197012dc838a0e9b"}, - {file = "virtualenv-20.26.2.tar.gz", hash = "sha256:82bf0f4eebbb78d36ddaee0283d43fe5736b53880b8a8cdcd37390a07ac3741c"}, + {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"}, + {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"}, ] [package.dependencies] @@ -7749,4 +7746,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "bfb5c89e3fe1763ed5b539f77e714e9c269366ece66507ed8811dff7df614c93" +content-hash = "bcee6d5cbe7f6ef236173bf5e94c8859a097c3d2ecde0e757be5f2c45b45a8cd" diff --git a/pyproject.toml b/pyproject.toml index 57cf8b77a8..7c998323b7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -68,12 +68,13 @@ reportlab = "*" [tool.coverage.run] concurrency = ["gevent"] + [tool.poetry.group.evaluation.dependencies] streamlit = "*" whatthepatch = "*" retry = "*" evaluate = "*" -swebench = { git = "https://github.com/OpenDevin/SWE-bench.git" } +swebench = { git = "https://github.com/OpenDevin/SWE-bench.git", rev = "xw/attempt-fix-django-parsing" } [build-system] build-backend = "poetry.core.masonry.api"