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[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 <enyst@users.noreply.github.com>
This commit is contained in:
Xingyao Wang
GitHub
parent
6246cb8e67
commit
6a0ffc5c61
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.gitignore
vendored
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vendored
@ -212,4 +212,8 @@ cache
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config.toml
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config.toml.bak
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containers/agnostic_sandbox
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containers/agnostic_sandbox
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# swe-bench-eval
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image_build_logs
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run_instance_logs
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@ -2,6 +2,8 @@
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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.
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**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).**
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## Setup Environment
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Please follow [this document](https://github.com/OpenDevin/OpenDevin/blob/main/Development.md) to set up a local development environment for OpenDevin.
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@ -10,7 +12,7 @@ Please follow [this document](https://github.com/OpenDevin/OpenDevin/blob/main/D
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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.
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**We pack everything you need for SWE-Bench evaluation into one, gigantic, docker image.** To use it:
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**We pack everything you need for SWE-Bench inference into one, gigantic, docker image.** To use it:
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```bash
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docker pull ghcr.io/opendevin/eval-swe-bench:full-v1.2.1
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@ -124,16 +126,23 @@ After running the inference, you will obtain a `output.jsonl` (by default it wil
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With `output.jsonl` file, you can run `eval_infer.sh` to evaluate generated patches, and produce a fine-grained report.
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**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).**
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If you want to evaluate existing results, you should first run this to clone existing outputs
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```bash
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git clone https://huggingface.co/spaces/OpenDevin/evaluation evaluation/evaluation_outputs
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```
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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:
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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:
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```bash
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evaluation/swe_bench/scripts/eval/prep_eval.sh
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evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh instance
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```
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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:
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```bash
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evaluation/swe_bench/scripts/docker/pull_all_eval_docker.sh env
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```
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Then you can run the following:
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@ -146,12 +155,11 @@ Then you can run the following:
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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"}`.
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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)):
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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:
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- `README.md`: a report showing what are the instances that passed, failed, etc.
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- `logs/`: a directory of test logs
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- `report.json`: a JSON file that contains keys like `"resolved"` pointing to instance IDs that are resolved by the agent.
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- `summary.json`: a JSON file contains more fine-grained information for each test instance.
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- `report.json`: a JSON file that contains keys like `"resolved_ids"` pointing to instance IDs that are resolved by the agent.
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- `eval_outputs/`: a directory of test logs
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## Visualize Results
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@ -0,0 +1,336 @@
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sweb.base.x86_64:latest
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sweb.env.x86_64.088a7e628bda9770f9757b:latest
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sweb.env.x86_64.297af196949a2a635bce66:latest
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sweb.env.x86_64.2baaea72acc974f6c02079:latest
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sweb.env.x86_64.2e50125951bc69cddd7421:latest
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sweb.env.x86_64.756beac07713d7e8dc1129:latest
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sweb.env.x86_64.78278ae2cf880e395f1337:latest
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sweb.env.x86_64.b649f0ff62fad147f7f073:latest
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sweb.env.x86_64.b7ce4be3b3c35f68c61248:latest
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sweb.env.x86_64.c70909fdac4897d1c685df:latest
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sweb.env.x86_64.c795f4b88616b8462021ed:latest
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sweb.env.x86_64.cc47cc71483942d0c3a15e:latest
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sweb.env.x86_64.dc5ff4c0e3fe8db5afc4da:latest
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sweb.env.x86_64.e3afd7f04b325a4de4982d:latest
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sweb.env.x86_64.e5bb89bf78258a7d14c34b:latest
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sweb.env.x86_64.e83e37f52c09532c62acfb:latest
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sweb.env.x86_64.efa6065ed5bf204410fd53:latest
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sweb.eval.x86_64.astropy__astropy-12907:latest
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sweb.eval.x86_64.astropy__astropy-14182:latest
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sweb.eval.x86_64.astropy__astropy-14365:latest
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sweb.eval.x86_64.astropy__astropy-14995:latest
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sweb.eval.x86_64.astropy__astropy-6938:latest
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sweb.eval.x86_64.astropy__astropy-7746:latest
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sweb.eval.x86_64.django__django-10914:latest
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sweb.eval.x86_64.django__django-10924:latest
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sweb.eval.x86_64.django__django-11001:latest
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sweb.eval.x86_64.django__django-11999:latest
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sweb.eval.x86_64.django__django-12470:latest
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sweb.eval.x86_64.django__django-12497:latest
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sweb.eval.x86_64.django__django-12589:latest
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sweb.eval.x86_64.django__django-12915:latest
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sweb.eval.x86_64.django__django-13028:latest
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sweb.eval.x86_64.django__django-13033:latest
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sweb.eval.x86_64.django__django-13158:latest
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sweb.eval.x86_64.django__django-13230:latest
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sweb.eval.x86_64.django__django-15789:latest
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sweb.eval.x86_64.matplotlib__matplotlib-18869:latest
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sweb.eval.x86_64.matplotlib__matplotlib-24970:latest
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sweb.eval.x86_64.matplotlib__matplotlib-26020:latest
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sweb.eval.x86_64.mwaskom__seaborn-2848:latest
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sweb.eval.x86_64.mwaskom__seaborn-3010:latest
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sweb.eval.x86_64.mwaskom__seaborn-3190:latest
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sweb.eval.x86_64.pallets__flask-4045:latest
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sweb.eval.x86_64.pallets__flask-4992:latest
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sweb.eval.x86_64.psf__requests-1963:latest
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sweb.eval.x86_64.psf__requests-3362:latest
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sweb.eval.x86_64.psf__requests-863:latest
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sweb.eval.x86_64.pydata__xarray-3364:latest
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sweb.eval.x86_64.pydata__xarray-4094:latest
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sweb.eval.x86_64.pydata__xarray-4493:latest
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sweb.eval.x86_64.pydata__xarray-5131:latest
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sweb.eval.x86_64.pylint-dev__pylint-5859:latest
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sweb.eval.x86_64.pylint-dev__pylint-6506:latest
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sweb.eval.x86_64.pylint-dev__pylint-7080:latest
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sweb.eval.x86_64.pylint-dev__pylint-7114:latest
|
||||
sweb.eval.x86_64.pylint-dev__pylint-7228:latest
|
||||
sweb.eval.x86_64.pylint-dev__pylint-7993:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-11143:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-11148:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5103:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5221:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5227:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5413:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5495:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-5692:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-6116:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-7168:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-7220:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-7373:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-7432:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-7490:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-8365:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-8906:latest
|
||||
sweb.eval.x86_64.pytest-dev__pytest-9359:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-10297:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-10508:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-10949:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-11040:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-11281:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-12471:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13142:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13241:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13439:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13496:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13497:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13584:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-13779:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-14087:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-14092:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-14894:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-14983:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-15512:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-15535:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-25500:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-25570:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-25638:latest
|
||||
sweb.eval.x86_64.scikit-learn__scikit-learn-25747:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-10325:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-10451:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-11445:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-7686:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-7738:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-7975:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8273:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8282:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8435:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8474:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8506:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8595:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8627:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8713:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8721:latest
|
||||
sweb.eval.x86_64.sphinx-doc__sphinx-8801:latest
|
||||
sweb.eval.x86_64.sympy__sympy-11400:latest
|
||||
sweb.eval.x86_64.sympy__sympy-11870:latest
|
||||
sweb.eval.x86_64.sympy__sympy-11897:latest
|
||||
sweb.eval.x86_64.sympy__sympy-12171:latest
|
||||
sweb.eval.x86_64.sympy__sympy-12236:latest
|
||||
sweb.eval.x86_64.sympy__sympy-12419:latest
|
||||
sweb.eval.x86_64.sympy__sympy-12454:latest
|
||||
sweb.eval.x86_64.sympy__sympy-12481:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13031:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13043:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13146:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13177:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13437:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13471:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13480:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13647:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13773:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13895:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13915:latest
|
||||
sweb.eval.x86_64.sympy__sympy-13971:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14024:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14308:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14317:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14396:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14774:latest
|
||||
sweb.eval.x86_64.sympy__sympy-14817:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15011:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15308:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15345:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15346:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15609:latest
|
||||
sweb.eval.x86_64.sympy__sympy-15678:latest
|
||||
sweb.eval.x86_64.sympy__sympy-16106:latest
|
||||
sweb.eval.x86_64.sympy__sympy-16281:latest
|
||||
sweb.eval.x86_64.sympy__sympy-16503:latest
|
||||
sweb.eval.x86_64.sympy__sympy-16792:latest
|
||||
sweb.eval.x86_64.sympy__sympy-16988:latest
|
||||
sweb.eval.x86_64.sympy__sympy-17022:latest
|
||||
sweb.eval.x86_64.sympy__sympy-17139:latest
|
||||
sweb.eval.x86_64.sympy__sympy-17630:latest
|
||||
sweb.eval.x86_64.sympy__sympy-17655:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18057:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18087:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18189:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18199:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18532:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18621:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18698:latest
|
||||
sweb.eval.x86_64.sympy__sympy-18835:latest
|
||||
sweb.eval.x86_64.sympy__sympy-19007:latest
|
||||
sweb.eval.x86_64.sympy__sympy-19254:latest
|
||||
sweb.eval.x86_64.sympy__sympy-19487:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20049:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20154:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20212:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20322:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20442:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20590:latest
|
||||
sweb.eval.x86_64.sympy__sympy-20639:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21055:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21171:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21379:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21612:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21614:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21627:latest
|
||||
sweb.eval.x86_64.sympy__sympy-21847:latest
|
||||
sweb.eval.x86_64.sympy__sympy-22005:latest
|
||||
sweb.eval.x86_64.sympy__sympy-22714:latest
|
||||
sweb.eval.x86_64.sympy__sympy-22840:latest
|
||||
sweb.eval.x86_64.sympy__sympy-23117:latest
|
||||
sweb.eval.x86_64.sympy__sympy-23191:latest
|
||||
sweb.eval.x86_64.sympy__sympy-23262:latest
|
||||
sweb.eval.x86_64.sympy__sympy-24066:latest
|
||||
sweb.eval.x86_64.sympy__sympy-24102:latest
|
||||
sweb.eval.x86_64.sympy__sympy-24152:latest
|
||||
sweb.eval.x86_64.sympy__sympy-24213:latest
|
||||
sweb.eval.x86_64.sympy__sympy-24909:latest
|
||||
@ -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: $0 <cache_level>"
|
||||
echo "cache_level: base, env, or instance"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
NAMESPACE=xingyaoww
|
||||
IMAGE_FILE="$(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
|
||||
|
||||
30
evaluation/swe_bench/scripts/docker/push_eval_docker.sh
Normal file
30
evaluation/swe_bench/scripts/docker/push_eval_docker.sh
Normal file
@ -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: $0 <docker_namespace>"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# target namespace
|
||||
image_list=$(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
|
||||
@ -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
|
||||
# [A[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[C[K0
|
||||
# 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,
|
||||
}
|
||||
|
||||
|
||||
@ -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
|
||||
|
||||
|
||||
@ -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)
|
||||
|
||||
@ -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
|
||||
|
||||
513
poetry.lock
generated
513
poetry.lock
generated
@ -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 = "sha256:db8d59c183b680e763722bfe8ebc45930e6c57df510620985939f7f3191e0382"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -312,6 +312,7 @@ azure-core = ">=1.23.0"
|
||||
cryptography = ">=2.5"
|
||||
msal = ">=1.24.0"
|
||||
msal-extensions = ">=0.3.0"
|
||||
typing-extensions = ">=4.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "backoff"
|
||||
@ -536,13 +537,13 @@ libwebarena = "0.0.3"
|
||||
|
||||
[[package]]
|
||||
name = "browsergym-workarena"
|
||||
version = "0.3.0"
|
||||
version = "0.3.1"
|
||||
description = "WorkArena benchmark for BrowserGym"
|
||||
optional = false
|
||||
python-versions = ">3.7"
|
||||
files = [
|
||||
{file = "browsergym_workarena-0.3.0-py3-none-any.whl", hash = "sha256:4c9208c7b37fdc676d200e4ecf29c395b71a9f05d0de91ac69f4ab0f474ee85f"},
|
||||
{file = "browsergym_workarena-0.3.0.tar.gz", hash = "sha256:6ff1adf708a95721adc04aef562ecf8f46a2807f0e247fe3171990acbcaff112"},
|
||||
{file = "browsergym_workarena-0.3.1-py3-none-any.whl", hash = "sha256:5ba113d38401ac6c4a5548a77ef91655a50cb48384d434f1a4eb691219b69957"},
|
||||
{file = "browsergym_workarena-0.3.1.tar.gz", hash = "sha256:f0685e371cff206c3a54758bfc81ae7ea1473f6ae21f685e48cf01761235e61e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -980,63 +981,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
|
||||
|
||||
[[package]]
|
||||
name = "coverage"
|
||||
version = "7.5.3"
|
||||
version = "7.5.4"
|
||||
description = "Code coverage measurement for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "coverage-7.5.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a6519d917abb15e12380406d721e37613e2a67d166f9fb7e5a8ce0375744cd45"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:aea7da970f1feccf48be7335f8b2ca64baf9b589d79e05b9397a06696ce1a1ec"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:923b7b1c717bd0f0f92d862d1ff51d9b2b55dbbd133e05680204465f454bb286"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:62bda40da1e68898186f274f832ef3e759ce929da9a9fd9fcf265956de269dbc"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d8b7339180d00de83e930358223c617cc343dd08e1aa5ec7b06c3a121aec4e1d"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:25a5caf742c6195e08002d3b6c2dd6947e50efc5fc2c2205f61ecb47592d2d83"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:05ac5f60faa0c704c0f7e6a5cbfd6f02101ed05e0aee4d2822637a9e672c998d"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:239a4e75e09c2b12ea478d28815acf83334d32e722e7433471fbf641c606344c"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-win32.whl", hash = "sha256:a5812840d1d00eafae6585aba38021f90a705a25b8216ec7f66aebe5b619fb84"},
|
||||
{file = "coverage-7.5.3-cp310-cp310-win_amd64.whl", hash = "sha256:33ca90a0eb29225f195e30684ba4a6db05dbef03c2ccd50b9077714c48153cac"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f81bc26d609bf0fbc622c7122ba6307993c83c795d2d6f6f6fd8c000a770d974"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7cec2af81f9e7569280822be68bd57e51b86d42e59ea30d10ebdbb22d2cb7232"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:55f689f846661e3f26efa535071775d0483388a1ccfab899df72924805e9e7cd"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50084d3516aa263791198913a17354bd1dc627d3c1639209640b9cac3fef5807"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:341dd8f61c26337c37988345ca5c8ccabeff33093a26953a1ac72e7d0103c4fb"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:ab0b028165eea880af12f66086694768f2c3139b2c31ad5e032c8edbafca6ffc"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:5bc5a8c87714b0c67cfeb4c7caa82b2d71e8864d1a46aa990b5588fa953673b8"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:38a3b98dae8a7c9057bd91fbf3415c05e700a5114c5f1b5b0ea5f8f429ba6614"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-win32.whl", hash = "sha256:fcf7d1d6f5da887ca04302db8e0e0cf56ce9a5e05f202720e49b3e8157ddb9a9"},
|
||||
{file = "coverage-7.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:8c836309931839cca658a78a888dab9676b5c988d0dd34ca247f5f3e679f4e7a"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:296a7d9bbc598e8744c00f7a6cecf1da9b30ae9ad51c566291ff1314e6cbbed8"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:34d6d21d8795a97b14d503dcaf74226ae51eb1f2bd41015d3ef332a24d0a17b3"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e317953bb4c074c06c798a11dbdd2cf9979dbcaa8ccc0fa4701d80042d4ebf1"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:705f3d7c2b098c40f5b81790a5fedb274113373d4d1a69e65f8b68b0cc26f6db"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b1196e13c45e327d6cd0b6e471530a1882f1017eb83c6229fc613cd1a11b53cd"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:015eddc5ccd5364dcb902eaecf9515636806fa1e0d5bef5769d06d0f31b54523"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:fd27d8b49e574e50caa65196d908f80e4dff64d7e592d0c59788b45aad7e8b35"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:33fc65740267222fc02975c061eb7167185fef4cc8f2770267ee8bf7d6a42f84"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-win32.whl", hash = "sha256:7b2a19e13dfb5c8e145c7a6ea959485ee8e2204699903c88c7d25283584bfc08"},
|
||||
{file = "coverage-7.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:0bbddc54bbacfc09b3edaec644d4ac90c08ee8ed4844b0f86227dcda2d428fcb"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f78300789a708ac1f17e134593f577407d52d0417305435b134805c4fb135adb"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b368e1aee1b9b75757942d44d7598dcd22a9dbb126affcbba82d15917f0cc155"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f836c174c3a7f639bded48ec913f348c4761cbf49de4a20a956d3431a7c9cb24"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:244f509f126dc71369393ce5fea17c0592c40ee44e607b6d855e9c4ac57aac98"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4c2872b3c91f9baa836147ca33650dc5c172e9273c808c3c3199c75490e709d"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:dd4b3355b01273a56b20c219e74e7549e14370b31a4ffe42706a8cda91f19f6d"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:f542287b1489c7a860d43a7d8883e27ca62ab84ca53c965d11dac1d3a1fab7ce"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:75e3f4e86804023e991096b29e147e635f5e2568f77883a1e6eed74512659ab0"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-win32.whl", hash = "sha256:c59d2ad092dc0551d9f79d9d44d005c945ba95832a6798f98f9216ede3d5f485"},
|
||||
{file = "coverage-7.5.3-cp38-cp38-win_amd64.whl", hash = "sha256:fa21a04112c59ad54f69d80e376f7f9d0f5f9123ab87ecd18fbb9ec3a2beed56"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f5102a92855d518b0996eb197772f5ac2a527c0ec617124ad5242a3af5e25f85"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d1da0a2e3b37b745a2b2a678a4c796462cf753aebf94edcc87dcc6b8641eae31"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8383a6c8cefba1b7cecc0149415046b6fc38836295bc4c84e820872eb5478b3d"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9aad68c3f2566dfae84bf46295a79e79d904e1c21ccfc66de88cd446f8686341"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e079c9ec772fedbade9d7ebc36202a1d9ef7291bc9b3a024ca395c4d52853d7"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bde997cac85fcac227b27d4fb2c7608a2c5f6558469b0eb704c5726ae49e1c52"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:990fb20b32990b2ce2c5f974c3e738c9358b2735bc05075d50a6f36721b8f303"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3d5a67f0da401e105753d474369ab034c7bae51a4c31c77d94030d59e41df5bd"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-win32.whl", hash = "sha256:e08c470c2eb01977d221fd87495b44867a56d4d594f43739a8028f8646a51e0d"},
|
||||
{file = "coverage-7.5.3-cp39-cp39-win_amd64.whl", hash = "sha256:1d2a830ade66d3563bb61d1e3c77c8def97b30ed91e166c67d0632c018f380f0"},
|
||||
{file = "coverage-7.5.3-pp38.pp39.pp310-none-any.whl", hash = "sha256:3538d8fb1ee9bdd2e2692b3b18c22bb1c19ffbefd06880f5ac496e42d7bb3884"},
|
||||
{file = "coverage-7.5.3.tar.gz", hash = "sha256:04aefca5190d1dc7a53a4c1a5a7f8568811306d7a8ee231c42fb69215571944f"},
|
||||
{file = "coverage-7.5.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6cfb5a4f556bb51aba274588200a46e4dd6b505fb1a5f8c5ae408222eb416f99"},
|
||||
{file = "coverage-7.5.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2174e7c23e0a454ffe12267a10732c273243b4f2d50d07544a91198f05c48f47"},
|
||||
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{file = "coverage-7.5.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44da56a2589b684813f86d07597fdf8a9c6ce77f58976727329272f5a01f99f7"},
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{file = "coverage-7.5.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e16f3d6b491c48c5ae726308e6ab1e18ee830b4cdd6913f2d7f77354b33f91c8"},
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|
||||
{file = "coverage-7.5.4-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:b1ccf5e728ccf83acd313c89f07c22d70d6c375a9c6f339233dcf792094bcbf7"},
|
||||
{file = "coverage-7.5.4-cp39-cp39-win32.whl", hash = "sha256:56b4eafa21c6c175b3ede004ca12c653a88b6f922494b023aeb1e836df953ace"},
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||||
{file = "coverage-7.5.4-cp39-cp39-win_amd64.whl", hash = "sha256:65e528e2e921ba8fd67d9055e6b9f9e34b21ebd6768ae1c1723f4ea6ace1234d"},
|
||||
{file = "coverage-7.5.4-pp38.pp39.pp310-none-any.whl", hash = "sha256:79b356f3dd5b26f3ad23b35c75dbdaf1f9e2450b6bcefc6d0825ea0aa3f86ca5"},
|
||||
{file = "coverage-7.5.4.tar.gz", hash = "sha256:a44963520b069e12789d0faea4e9fdb1e410cdc4aab89d94f7f55cbb7fef0353"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -1312,13 +1313,13 @@ websockets = ">=11.0.3"
|
||||
|
||||
[[package]]
|
||||
name = "email-validator"
|
||||
version = "2.1.2"
|
||||
version = "2.2.0"
|
||||
description = "A robust email address syntax and deliverability validation library."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "email_validator-2.1.2-py3-none-any.whl", hash = "sha256:d89f6324e13b1e39889eab7f9ca2f91dc9aebb6fa50a6d8bd4329ab50f251115"},
|
||||
{file = "email_validator-2.1.2.tar.gz", hash = "sha256:14c0f3d343c4beda37400421b39fa411bbe33a75df20825df73ad53e06a9f04c"},
|
||||
{file = "email_validator-2.2.0-py3-none-any.whl", hash = "sha256:561977c2d73ce3611850a06fa56b414621e0c8faa9d66f2611407d87465da631"},
|
||||
{file = "email_validator-2.2.0.tar.gz", hash = "sha256:cb690f344c617a714f22e66ae771445a1ceb46821152df8e165c5f9a364582b7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1372,13 +1373,13 @@ torch = ["torch"]
|
||||
|
||||
[[package]]
|
||||
name = "faker"
|
||||
version = "25.8.0"
|
||||
version = "26.0.0"
|
||||
description = "Faker is a Python package that generates fake data for you."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "Faker-25.8.0-py3-none-any.whl", hash = "sha256:4c40b34a9c569018d4f9d6366d71a4da8a883d5ddf2b23197be5370f29b7e1b6"},
|
||||
{file = "Faker-25.8.0.tar.gz", hash = "sha256:bdec5f2fb057d244ebef6e0ed318fea4dcbdf32c3a1a010766fc45f5d68fc68d"},
|
||||
{file = "Faker-26.0.0-py3-none-any.whl", hash = "sha256:886ee28219be96949cd21ecc96c4c742ee1680e77f687b095202c8def1a08f06"},
|
||||
{file = "Faker-26.0.0.tar.gz", hash = "sha256:0f60978314973de02c00474c2ae899785a42b2cf4f41b7987e93c132a2b8a4a9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1441,13 +1442,13 @@ standard = ["fastapi", "uvicorn[standard] (>=0.15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "fastcore"
|
||||
version = "1.5.46"
|
||||
version = "1.5.48"
|
||||
description = "Python supercharged for fastai development"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "fastcore-1.5.46-py3-none-any.whl", hash = "sha256:ba96bd081e84c16035c48f87930032a568751bdfb11cb2c2d8ff92b42c11a4b0"},
|
||||
{file = "fastcore-1.5.46.tar.gz", hash = "sha256:5c916feddbf3db41b78d2963cc83387b2bfdbaf87043a01040008e6db73d4463"},
|
||||
{file = "fastcore-1.5.48-py3-none-any.whl", hash = "sha256:54f80c8bb16a5f43feb3357ddff8c416215d7ff781e63669203cb9dfdaa0c5b4"},
|
||||
{file = "fastcore-1.5.48.tar.gz", hash = "sha256:39c5e1c4539c04b68d1c9b3971c031b3949001b3cfc98eb0c347ae8d91c2dc2b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1458,18 +1459,18 @@ dev = ["matplotlib", "nbclassic", "nbdev (>=0.2.39)", "numpy", "pandas", "pillow
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.15.1"
|
||||
version = "3.15.4"
|
||||
description = "A platform independent file lock."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "filelock-3.15.1-py3-none-any.whl", hash = "sha256:71b3102950e91dfc1bb4209b64be4dc8854f40e5f534428d8684f953ac847fac"},
|
||||
{file = "filelock-3.15.1.tar.gz", hash = "sha256:58a2549afdf9e02e10720eaa4d4470f56386d7a6f72edd7d0596337af8ed7ad8"},
|
||||
{file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
|
||||
{file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
|
||||
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
|
||||
typing = ["typing-extensions (>=4.8)"]
|
||||
|
||||
[[package]]
|
||||
@ -1846,13 +1847,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
|
||||
|
||||
[[package]]
|
||||
name = "google-api-core"
|
||||
version = "2.19.0"
|
||||
version = "2.19.1"
|
||||
description = "Google API client core library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-api-core-2.19.0.tar.gz", hash = "sha256:cf1b7c2694047886d2af1128a03ae99e391108a08804f87cfd35970e49c9cd10"},
|
||||
{file = "google_api_core-2.19.0-py3-none-any.whl", hash = "sha256:8661eec4078c35428fd3f69a2c7ee29e342896b70f01d1a1cbcb334372dd6251"},
|
||||
{file = "google-api-core-2.19.1.tar.gz", hash = "sha256:f4695f1e3650b316a795108a76a1c416e6afb036199d1c1f1f110916df479ffd"},
|
||||
{file = "google_api_core-2.19.1-py3-none-any.whl", hash = "sha256:f12a9b8309b5e21d92483bbd47ce2c445861ec7d269ef6784ecc0ea8c1fa6125"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1861,7 +1862,7 @@ googleapis-common-protos = ">=1.56.2,<2.0.dev0"
|
||||
grpcio = {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
|
||||
grpcio-status = {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
|
||||
proto-plus = ">=1.22.3,<2.0.0dev"
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
requests = ">=2.18.0,<3.0.0.dev0"
|
||||
|
||||
[package.extras]
|
||||
@ -1871,13 +1872,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
|
||||
|
||||
[[package]]
|
||||
name = "google-api-python-client"
|
||||
version = "2.133.0"
|
||||
version = "2.134.0"
|
||||
description = "Google API Client Library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "google-api-python-client-2.133.0.tar.gz", hash = "sha256:293092905b66a046d3187a99ac454e12b00cc2c70444f26eb2f1f9c1a82720b4"},
|
||||
{file = "google_api_python_client-2.133.0-py2.py3-none-any.whl", hash = "sha256:396fe676ea0dfed066654dcf9f8dea77a1342f9d9bb23bb88e45b7b81e773926"},
|
||||
{file = "google-api-python-client-2.134.0.tar.gz", hash = "sha256:4a8f0bea651a212997cc83c0f271fc86f80ef93d1cee9d84de7dfaeef2a858b6"},
|
||||
{file = "google_api_python_client-2.134.0-py2.py3-none-any.whl", hash = "sha256:ba05d60f6239990b7994f6328f17bb154c602d31860fb553016dc9f8ce886945"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1950,17 +1951,17 @@ dev = ["Pillow", "absl-py", "black", "ipython", "nose2", "pandas", "pytype", "py
|
||||
|
||||
[[package]]
|
||||
name = "googleapis-common-protos"
|
||||
version = "1.63.1"
|
||||
version = "1.63.2"
|
||||
description = "Common protobufs used in Google APIs"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "googleapis-common-protos-1.63.1.tar.gz", hash = "sha256:c6442f7a0a6b2a80369457d79e6672bb7dcbaab88e0848302497e3ec80780a6a"},
|
||||
{file = "googleapis_common_protos-1.63.1-py2.py3-none-any.whl", hash = "sha256:0e1c2cdfcbc354b76e4a211a35ea35d6926a835cba1377073c4861db904a1877"},
|
||||
{file = "googleapis-common-protos-1.63.2.tar.gz", hash = "sha256:27c5abdffc4911f28101e635de1533fb4cfd2c37fbaa9174587c799fac90aa87"},
|
||||
{file = "googleapis_common_protos-1.63.2-py2.py3-none-any.whl", hash = "sha256:27a2499c7e8aff199665b22741997e485eccc8645aa9176c7c988e6fae507945"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0.dev0"
|
||||
|
||||
[package.extras]
|
||||
grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
|
||||
@ -2797,23 +2798,38 @@ tokenizers = "*"
|
||||
extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
|
||||
proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "llama-cloud"
|
||||
version = "0.0.6"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4,>=3.8"
|
||||
files = [
|
||||
{file = "llama_cloud-0.0.6-py3-none-any.whl", hash = "sha256:0f07c8a865be632b543dec2bcad350a68a61f13413a7421b4b03de32c36f0194"},
|
||||
{file = "llama_cloud-0.0.6.tar.gz", hash = "sha256:33b94cd119133dcb2899c9b69e8e1c36aec7bc7e80062c55c65f15618722e091"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.20.0"
|
||||
pydantic = ">=1.10"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index"
|
||||
version = "0.10.45.post1"
|
||||
version = "0.10.50"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index-0.10.45.post1-py3-none-any.whl", hash = "sha256:11ff93431a81f1eae5bb73092d194cfb66a36ea90f272ea145f20e6e4324c71c"},
|
||||
{file = "llama_index-0.10.45.post1.tar.gz", hash = "sha256:0bd3dcdbbfa468c408ad2f9e839b60562367ec6563c13c9bddcd108309881447"},
|
||||
{file = "llama_index-0.10.50-py3-none-any.whl", hash = "sha256:18426f1f23378bde506646a6e016c11b7e99f947bcc9c768384ae776da2aeab7"},
|
||||
{file = "llama_index-0.10.50.tar.gz", hash = "sha256:57f8cbd3d981f68ebafff97268f4afb53a1f9f4af0bb748858b14310336b2a4d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-index-agent-openai = ">=0.1.4,<0.3.0"
|
||||
llama-index-cli = ">=0.1.2,<0.2.0"
|
||||
llama-index-core = "0.10.45"
|
||||
llama-index-core = "0.10.50"
|
||||
llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
|
||||
llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
|
||||
llama-index-indices-managed-llama-cloud = ">=0.2.0"
|
||||
llama-index-legacy = ">=0.9.48,<0.10.0"
|
||||
llama-index-llms-openai = ">=0.1.13,<0.2.0"
|
||||
llama-index-multi-modal-llms-openai = ">=0.1.3,<0.2.0"
|
||||
@ -2856,13 +2872,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-core"
|
||||
version = "0.10.45"
|
||||
version = "0.10.50"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_core-0.10.45-py3-none-any.whl", hash = "sha256:8c800c7221322b8e1cbbbc13325039b5fe3575d4b0e0be14ac9a8f1e5d14fee3"},
|
||||
{file = "llama_index_core-0.10.45.tar.gz", hash = "sha256:f32d0448e7193ff45c8e84abd49493be030998fc8f1a0cab069387deef3e577c"},
|
||||
{file = "llama_index_core-0.10.50-py3-none-any.whl", hash = "sha256:8a1fc49d65156002bb7f4c82458385ee440bd11f81d1bc39ed03ce94f53c9c74"},
|
||||
{file = "llama_index_core-0.10.50.tar.gz", hash = "sha256:9e64dd54b19aca235b360b2f81d6f93014f1439304cc9369a0e53e4cba9e33aa"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2872,18 +2888,18 @@ deprecated = ">=1.2.9.3"
|
||||
dirtyjson = ">=1.0.8,<2.0.0"
|
||||
fsspec = ">=2023.5.0"
|
||||
httpx = "*"
|
||||
llamaindex-py-client = ">=0.1.18,<0.2.0"
|
||||
llama-cloud = ">=0.0.6,<0.0.7"
|
||||
nest-asyncio = ">=1.5.8,<2.0.0"
|
||||
networkx = ">=3.0"
|
||||
nltk = ">=3.8.1,<4.0.0"
|
||||
numpy = "*"
|
||||
numpy = "<2.0.0"
|
||||
openai = ">=1.1.0"
|
||||
pandas = "*"
|
||||
pillow = ">=9.0.0"
|
||||
PyYAML = ">=6.0.1"
|
||||
requests = ">=2.31.0"
|
||||
SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
|
||||
tenacity = ">=8.2.0,<9.0.0"
|
||||
tenacity = ">=8.2.0,<8.4.0 || >8.4.0,<9.0.0"
|
||||
tiktoken = ">=0.3.3"
|
||||
tqdm = ">=4.66.1,<5.0.0"
|
||||
typing-extensions = ">=4.5.0"
|
||||
@ -2952,18 +2968,18 @@ llama-index-core = ">=0.10.1,<0.11.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-indices-managed-llama-cloud"
|
||||
version = "0.1.6"
|
||||
version = "0.2.1"
|
||||
description = "llama-index indices llama-cloud integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.1.6-py3-none-any.whl", hash = "sha256:cba33e1a3677b2a2ae7f239119acbf6dc3818f105edc92315729842b56fbc949"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.1.6.tar.gz", hash = "sha256:74b3b0e9ebf9d348d3054f9fc0c657031acceb9351c31116ad8d5a7ae4729f5c"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.1-py3-none-any.whl", hash = "sha256:69abd37bc7b57abcea841eea2a89cb0adee29bce3fd05c61e3082ae50f047b87"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.1.tar.gz", hash = "sha256:b07fa606f1085e22918d2d45e00ab86f3430f36057e115322bd360b695eef565"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-index-core = ">=0.10.0,<0.11.0"
|
||||
llamaindex-py-client = ">=0.1.19,<0.2.0"
|
||||
llama-cloud = ">=0.0.6,<0.0.7"
|
||||
llama-index-core = ">=0.10.48.post1,<0.11.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-legacy"
|
||||
@ -3023,13 +3039,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-llms-openai"
|
||||
version = "0.1.22"
|
||||
version = "0.1.23"
|
||||
description = "llama-index llms openai integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_llms_openai-0.1.22-py3-none-any.whl", hash = "sha256:84a8c910671460ad724ed818192f209f7481e71bcc6528553ba7e66db2e14bcd"},
|
||||
{file = "llama_index_llms_openai-0.1.22.tar.gz", hash = "sha256:729bf2ea7043517465e1d585089512b77d8b3ce92233a67c138d5d621061ed56"},
|
||||
{file = "llama_index_llms_openai-0.1.23-py3-none-any.whl", hash = "sha256:38753baac823a0459b8f6511258d84020219cb6b223a9866ec526e83ddbc94e1"},
|
||||
{file = "llama_index_llms_openai-0.1.23.tar.gz", hash = "sha256:b40289c47fda9df86c8177999d6af0a47fce14fe4324572ea2fe25bbdbd05021"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3146,21 +3162,6 @@ files = [
|
||||
[package.dependencies]
|
||||
llama-index-core = ">=0.10.29"
|
||||
|
||||
[[package]]
|
||||
name = "llamaindex-py-client"
|
||||
version = "0.1.19"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = "<4,>=3.8"
|
||||
files = [
|
||||
{file = "llamaindex_py_client-0.1.19-py3-none-any.whl", hash = "sha256:fd9416fd78b97209bf323bc3c7fab314499778563e7274f10853ad560563d10e"},
|
||||
{file = "llamaindex_py_client-0.1.19.tar.gz", hash = "sha256:73f74792bb8c092bae6dc626627a09ac13a099fa8d10f8fcc83e17a2b332cca7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
httpx = ">=0.20.0"
|
||||
pydantic = ">=1.10"
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "5.2.2"
|
||||
@ -3242,13 +3243,9 @@ files = [
|
||||
{file = "lxml-5.2.2-cp36-cp36m-win_amd64.whl", hash = "sha256:edcfa83e03370032a489430215c1e7783128808fd3e2e0a3225deee278585196"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:28bf95177400066596cdbcfc933312493799382879da504633d16cf60bba735b"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a745cc98d504d5bd2c19b10c79c61c7c3df9222629f1b6210c0368177589fb8"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b590b39ef90c6b22ec0be925b211298e810b4856909c8ca60d27ffbca6c12e6"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b336b0416828022bfd5a2e3083e7f5ba54b96242159f83c7e3eebaec752f1716"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:c2faf60c583af0d135e853c86ac2735ce178f0e338a3c7f9ae8f622fd2eb788c"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:4bc6cb140a7a0ad1f7bc37e018d0ed690b7b6520ade518285dc3171f7a117905"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7ff762670cada8e05b32bf1e4dc50b140790909caa8303cfddc4d702b71ea184"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:57f0a0bbc9868e10ebe874e9f129d2917750adf008fe7b9c1598c0fbbfdde6a6"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:a6d2092797b388342c1bc932077ad232f914351932353e2e8706851c870bca1f"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:60499fe961b21264e17a471ec296dcbf4365fbea611bf9e303ab69db7159ce61"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-win32.whl", hash = "sha256:d9b342c76003c6b9336a80efcc766748a333573abf9350f4094ee46b006ec18f"},
|
||||
{file = "lxml-5.2.2-cp37-cp37m-win_amd64.whl", hash = "sha256:b16db2770517b8799c79aa80f4053cd6f8b716f21f8aca962725a9565ce3ee40"},
|
||||
@ -3662,13 +3659,13 @@ tests = ["pytest (>=4.6)"]
|
||||
|
||||
[[package]]
|
||||
name = "msal"
|
||||
version = "1.28.1"
|
||||
version = "1.29.0"
|
||||
description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "msal-1.28.1-py3-none-any.whl", hash = "sha256:563c2d70de77a2ca9786aab84cb4e133a38a6897e6676774edc23d610bfc9e7b"},
|
||||
{file = "msal-1.28.1.tar.gz", hash = "sha256:d72bbfe2d5c2f2555f4bc6205be4450ddfd12976610dd9a16a9ab0f05c68b64d"},
|
||||
{file = "msal-1.29.0-py3-none-any.whl", hash = "sha256:6b301e63f967481f0cc1a3a3bac0cf322b276855bc1b0955468d9deb3f33d511"},
|
||||
{file = "msal-1.29.0.tar.gz", hash = "sha256:8f6725f099752553f9b2fe84125e2a5ebe47b49f92eacca33ebedd3a9ebaae25"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3681,22 +3678,18 @@ broker = ["pymsalruntime (>=0.13.2,<0.17)"]
|
||||
|
||||
[[package]]
|
||||
name = "msal-extensions"
|
||||
version = "1.1.0"
|
||||
version = "1.2.0"
|
||||
description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "msal-extensions-1.1.0.tar.gz", hash = "sha256:6ab357867062db7b253d0bd2df6d411c7891a0ee7308d54d1e4317c1d1c54252"},
|
||||
{file = "msal_extensions-1.1.0-py3-none-any.whl", hash = "sha256:01be9711b4c0b1a151450068eeb2c4f0997df3bba085ac299de3a66f585e382f"},
|
||||
{file = "msal_extensions-1.2.0-py3-none-any.whl", hash = "sha256:cf5ba83a2113fa6dc011a254a72f1c223c88d7dfad74cc30617c4679a417704d"},
|
||||
{file = "msal_extensions-1.2.0.tar.gz", hash = "sha256:6f41b320bfd2933d631a215c91ca0dd3e67d84bd1a2f50ce917d5874ec646bef"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
msal = ">=0.4.1,<2.0.0"
|
||||
packaging = "*"
|
||||
portalocker = [
|
||||
{version = ">=1.0,<3", markers = "platform_system != \"Windows\""},
|
||||
{version = ">=1.6,<3", markers = "platform_system == \"Windows\""},
|
||||
]
|
||||
msal = ">=1.29,<2"
|
||||
portalocker = ">=1.4,<3"
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
@ -4657,13 +4650,13 @@ xmp = ["defusedxml"]
|
||||
|
||||
[[package]]
|
||||
name = "pip"
|
||||
version = "24.0"
|
||||
version = "24.1.1"
|
||||
description = "The PyPA recommended tool for installing Python packages."
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pip-24.0-py3-none-any.whl", hash = "sha256:ba0d021a166865d2265246961bec0152ff124de910c5cc39f1156ce3fa7c69dc"},
|
||||
{file = "pip-24.0.tar.gz", hash = "sha256:ea9bd1a847e8c5774a5777bb398c19e80bcd4e2aa16a4b301b718fe6f593aba2"},
|
||||
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|
||||
{file = "pip-24.1.1.tar.gz", hash = "sha256:5aa64f65e1952733ee0a9a9b1f52496ebdb3f3077cc46f80a16d983b58d1180a"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -4719,13 +4712,13 @@ testing = ["pytest", "pytest-benchmark"]
|
||||
|
||||
[[package]]
|
||||
name = "portalocker"
|
||||
version = "2.8.2"
|
||||
version = "2.10.0"
|
||||
description = "Wraps the portalocker recipe for easy usage"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "portalocker-2.8.2-py3-none-any.whl", hash = "sha256:cfb86acc09b9aa7c3b43594e19be1345b9d16af3feb08bf92f23d4dce513a28e"},
|
||||
{file = "portalocker-2.8.2.tar.gz", hash = "sha256:2b035aa7828e46c58e9b31390ee1f169b98e1066ab10b9a6a861fe7e25ee4f33"},
|
||||
{file = "portalocker-2.10.0-py3-none-any.whl", hash = "sha256:48944147b2cd42520549bc1bb8fe44e220296e56f7c3d551bc6ecce69d9b0de1"},
|
||||
{file = "portalocker-2.10.0.tar.gz", hash = "sha256:49de8bc0a2f68ca98bf9e219c81a3e6b27097c7bf505a87c5a112ce1aaeb9b81"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -4779,20 +4772,20 @@ virtualenv = ">=20.10.0"
|
||||
|
||||
[[package]]
|
||||
name = "proto-plus"
|
||||
version = "1.23.0"
|
||||
version = "1.24.0"
|
||||
description = "Beautiful, Pythonic protocol buffers."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "proto-plus-1.23.0.tar.gz", hash = "sha256:89075171ef11988b3fa157f5dbd8b9cf09d65fffee97e29ce403cd8defba19d2"},
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||||
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||||
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|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
protobuf = ">=3.19.0,<5.0.0dev"
|
||||
protobuf = ">=3.19.0,<6.0.0dev"
|
||||
|
||||
[package.extras]
|
||||
testing = ["google-api-core[grpc] (>=1.31.5)"]
|
||||
testing = ["google-api-core (>=1.31.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
@ -5850,13 +5843,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "s3transfer"
|
||||
version = "0.10.1"
|
||||
version = "0.10.2"
|
||||
description = "An Amazon S3 Transfer Manager"
|
||||
optional = false
|
||||
python-versions = ">= 3.8"
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
{file = "s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d"},
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||||
{file = "s3transfer-0.10.1.tar.gz", hash = "sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19"},
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||||
{file = "s3transfer-0.10.2-py3-none-any.whl", hash = "sha256:eca1c20de70a39daee580aef4986996620f365c4e0fda6a86100231d62f1bf69"},
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{file = "s3transfer-0.10.2.tar.gz", hash = "sha256:0711534e9356d3cc692fdde846b4a1e4b0cb6519971860796e6bc4c7aea00ef6"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6034,45 +6027,45 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (
|
||||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
version = "1.13.1"
|
||||
version = "1.14.0"
|
||||
description = "Fundamental algorithms for scientific computing in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
python-versions = ">=3.10"
|
||||
files = [
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||||
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||||
{file = "scipy-1.14.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9e3154691b9f7ed73778d746da2df67a19d046a6c8087c8b385bc4cdb2cfca74"},
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||||
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||||
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||||
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||||
{file = "scipy-1.14.0-cp312-cp312-win_amd64.whl", hash = "sha256:4c4161597c75043f7154238ef419c29a64ac4a7c889d588ea77690ac4d0d9b20"},
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||||
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.22.4,<2.3"
|
||||
numpy = ">=1.23.5,<2.3"
|
||||
|
||||
[package.extras]
|
||||
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
|
||||
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
|
||||
test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
|
||||
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
|
||||
test = ["Cython", "array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
|
||||
[[package]]
|
||||
name = "seaborn"
|
||||
@ -6122,18 +6115,18 @@ train = ["accelerate (>=0.20.3)", "datasets"]
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "70.0.0"
|
||||
version = "70.1.1"
|
||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
{file = "setuptools-70.0.0-py3-none-any.whl", hash = "sha256:54faa7f2e8d2d11bcd2c07bed282eef1046b5c080d1c32add737d7b5817b1ad4"},
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||||
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|
||||
]
|
||||
|
||||
[package.extras]
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]
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[package.dependencies]
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greenlet = {version = "!=0.4.17", optional = true, markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\" or extra == \"asyncio\""}
|
||||
greenlet = {version = "!=0.4.17", optional = true, markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\") or extra == \"asyncio\""}
|
||||
typing-extensions = ">=4.6.0"
|
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|
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[package.extras]
|
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@ -6342,7 +6335,7 @@ files = [
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[[package]]
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name = "swebench"
|
||||
version = "1.1.5"
|
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version = "2.0.2"
|
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description = "The official SWE-bench package - a benchmark for evaluating LMs on software engineering"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
@ -6353,8 +6346,10 @@ develop = false
|
||||
beautifulsoup4 = "*"
|
||||
chardet = "*"
|
||||
datasets = "*"
|
||||
docker = "*"
|
||||
ghapi = "*"
|
||||
GitPython = "*"
|
||||
pre-commit = "*"
|
||||
python-dotenv = "*"
|
||||
requests = "*"
|
||||
rich = "*"
|
||||
@ -6363,8 +6358,8 @@ tqdm = "*"
|
||||
[package.source]
|
||||
type = "git"
|
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url = "https://github.com/OpenDevin/SWE-bench.git"
|
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reference = "HEAD"
|
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resolved_reference = "7b0c4b1c249ed4b4600a5bba8afb916d543e034a"
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reference = "xw/attempt-fix-django-parsing"
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resolved_reference = "c61bc104ae5113dd58c228004e7b52293ed73bbd"
|
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|
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[[package]]
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name = "sympy"
|
||||
@ -6727,19 +6722,19 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.41.2"
|
||||
version = "4.42.1"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
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optional = false
|
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python-versions = ">=3.8.0"
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files = [
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[package.dependencies]
|
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filelock = "*"
|
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huggingface-hub = ">=0.23.0,<1.0"
|
||||
numpy = ">=1.17"
|
||||
huggingface-hub = ">=0.23.2,<1.0"
|
||||
numpy = ">=1.17,<2.0"
|
||||
packaging = ">=20.0"
|
||||
pyyaml = ">=5.1"
|
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regex = "!=2019.12.17"
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@ -6751,14 +6746,15 @@ tqdm = ">=4.27"
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[package.extras]
|
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accelerate = ["accelerate (>=0.21.0)"]
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agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
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||||
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|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
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|
||||
codecarbon = ["codecarbon (==1.2.0)"]
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||||
deepspeed = ["accelerate (>=0.21.0)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "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"]
|
||||
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|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "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", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
|
||||
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|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.21.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "optuna", "parameterized", "protobuf", "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"]
|
||||
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|
||||
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|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "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"]
|
||||
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|
||||
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"
|
||||
|
||||
@ -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"
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user