{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/randaugment-practical-data-augmentation-with","title":"RandAugment: Practical automated data augmentation with a reduced search space","arxiv_id":"1909.13719","date":"2019-09-30","proceeding":"NeurIPS 2020 12","authors":["Ekin D. Cubuk","Barret Zoph","Jonathon Shlens","Quoc V. Le"],"abstract":"Recent work has shown that data augmentation has the potential to significantly improve the generalization of deep learning models. Recently, automated augmentation strategies have led to state-of-the-art results in image classification and object detection. While these strategies were optimized for improving validation accuracy, they also led to state-of-the-art results in semi-supervised learning and improved robustness to common corruptions of images. An obstacle to a large-scale adoption of these methods is a separate search phase which increases the training complexity and may substantially increase the computational cost. Additionally, due to the separate search phase, these approaches are unable to adjust the regularization strength based on model or dataset size. Automated augmentation policies are often found by training small models on small datasets and subsequently applied to train larger models. In this work, we remove both of these obstacles. RandAugment has a significantly reduced search space which allows it to be trained on the target task with no need for a separate proxy task. Furthermore, due to the parameterization, the regularization strength may be tailored to different model and dataset sizes. RandAugment can be used uniformly across different tasks and datasets and works out of the box, matching or surpassing all previous automated augmentation approaches on CIFAR-10/100, SVHN, and ImageNet. On the ImageNet dataset we achieve 85.0% accuracy, a 0.6% increase over the previous state-of-the-art and 1.0% increase over baseline augmentation. On object detection, RandAugment leads to 1.0-1.3% improvement over baseline augmentation, and is within 0.3% mAP of AutoAugment on COCO. Finally, due to its interpretable hyperparameter, RandAugment may be used to investigate the role of data augmentation with varying model and dataset size. Code is available online.","url_abs":"https://arxiv.org/abs/1909.13719v2","url_pdf":"https://arxiv.org/pdf/1909.13719v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/A-Telfer/AugKey","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/adam-mehdi/MuarAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/chenyang4/resmooth","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/hitchingsh/ml-examples","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/ildoonet/pytorch-randaugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/lyxxn0414/test-data-generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/nachiket273/pytorch_resnet_rs","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/open-mmlab/mmpretrain","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/rlagywns0213/cifar100_data_augmentation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/rwightman/pytorch-image-models","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/sailist/thexp-implement","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/zhanghang1989/fast-autoaug-torch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/MindCode-4/code-14/tree/main/AVA_hpa","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/MindSpore-scientific-2/code-4/tree/main/rand_conv-master","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/pwc-1/Paper-9/tree/main/6/AVA_hpa/src/RandAugment","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/pytorch/vision","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"randaugment-practical-data-augmentation-with","repo_url":"https://github.com/wangermeng2021/FastClassification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"data-augmentation","task_name":"Data Augmentation"},{"task_slug":"domain-generalization","task_name":"Domain Generalization"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"image-classification","task_name":"image-classification"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"autoaugment","method_name":"AutoAugment"},{"method_slug":"average-pooling","method_name":"Average Pooling"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"bottleneck-residual-block","method_name":"Bottleneck Residual Block"},{"method_slug":"colorjitter","method_name":"ColorJitter"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"cosine-annealing","method_name":"Cosine Annealing"},{"method_slug":"cutout","method_name":"Cutout"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"depthwise-convolution","method_name":"Depthwise Convolution"},{"method_slug":"depthwise-separable-convolution","method_name":"Depthwise Separable Convolution"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"efficientnet","method_name":"EfficientNet"},{"method_slug":"fpn","method_name":"FPN"},{"method_slug":"focal-loss","method_name":"Focal Loss"},{"method_slug":"global-average-pooling","method_name":"Global Average Pooling"},{"method_slug":"inverted-residual-block","method_name":"Inverted Residual Block"},{"method_slug":"kaiming-initialization","method_name":"Kaiming Initialization"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"max-pooling","method_name":"Max Pooling"},{"method_slug":"pointwise-convolution","method_name":"Pointwise Convolution"},{"method_slug":"rmsprop","method_name":"RMSProp"},{"method_slug":"randaugment","method_name":"RandAugment"},{"method_slug":"randomhorizontalflip","method_name":"Random Horizontal Flip"},{"method_slug":"random-resized-crop","method_name":"Random Resized Crop"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"residual-block","method_name":"Residual Block"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"retinanet","method_name":"RetinaNet"},{"method_slug":"sgd-with-momentum","method_name":"SGD with Momentum"},{"method_slug":"shakedrop","method_name":"ShakeDrop"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"squeeze-and-excitation-block","method_name":"Squeeze-and-Excitation Block"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"},{"method_slug":"weight-decay","method_name":"Weight Decay"},{"method_slug":"wide-residual-block","method_name":"Wide Residual Block"},{"method_slug":"wideresnet","method_name":"WideResNet"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/data-augmentation-on-imagenet","task":"Data Augmentation","dataset":"ImageNet","model":"ResNet-50 (RA)","rank_in_archive_order":14,"of":17,"metrics":{"Accuracy (%)":"77.6"},"uses_additional_data":false},{"leaderboard":"/sota/domain-generalization-on-vizwiz","task":"Domain Generalization","dataset":"VizWiz-Classification","model":"EfficientNet-B7 (randaug)","rank_in_archive_order":17,"of":90,"metrics":{"Accuracy - All Images":"45","Accuracy - Clean Images":"48.7","Accuracy - Corrupted Images":"38.9"},"uses_additional_data":false},{"leaderboard":"/sota/domain-generalization-on-vizwiz","task":"Domain Generalization","dataset":"VizWiz-Classification","model":"EfficientNet-B5 (randaug)","rank_in_archive_order":25,"of":90,"metrics":{"Accuracy - All Images":"42.1","Accuracy - Clean Images":"47.3","Accuracy - Corrupted Images":"35.5"},"uses_additional_data":false},{"leaderboard":"/sota/image-classification-on-imagenet","task":"Image Classification","dataset":"ImageNet","model":"EfficientNet-B8 (RandAugment)","rank_in_archive_order":227,"of":1060,"metrics":{"Top 1 Accuracy":"85.4%"},"uses_additional_data":false},{"leaderboard":"/sota/image-classification-on-imagenet","task":"Image Classification","dataset":"ImageNet","model":"EfficientNet-B7 (RandAugment)","rank_in_archive_order":269,"of":1060,"metrics":{"Number of params":"66M","Top 1 Accuracy":"85%"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1909.13719","atlas_url":"https://app.syntology.ai/?focus=1909.13719","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.13719"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/rwightman/pytorch-image-models","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pytorch/vision","reach":null},{"provenance":"deterministic:regex_extraction","url":"https://github.com/tensorflow/tpu","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/hitchingsh/ml-examples","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/A-Telfer/AugKey","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/lyxxn0414/test-data-generation","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MindSpore-scientific-2/code-4/tree/main/rand_conv-master","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/MindCode-4/code-14/tree/main/AVA_hpa","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/rlagywns0213/cifar100_data_augmentation","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chenyang4/resmooth","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/open-mmlab/mmpretrain","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ildoonet/pytorch-randaugment","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/sailist/thexp-implement","reach":{"status":"ok","spdx":"NOASSERTION"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/wangermeng2021/FastClassification","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/pwc-1/Paper-9/tree/main/6/AVA_hpa/src/RandAugment","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/zhanghang1989/fast-autoaug-torch","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/nachiket273/pytorch_resnet_rs","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/adam-mehdi/MuarAugment","reach":null}],"summary":{"ran_draft_wrong":24,"ran_fixture":27,"ran_violates":1,"ran":6,"unverified":7},"by_repo_kind":{"listed":{"samples":64,"ran":57,"repositories":6}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":17,"samples":[{"code_sha256_prefix":"4a0ac9d611e018bc","entry":"AutoContrast","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4a0ac9d611e018bc"}},{"code_sha256_prefix":"35f5a6d3913e6b0e","entry":"Contrast","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"35f5a6d3913e6b0e"}},{"code_sha256_prefix":"03ecbd868107e6f7","entry":"CutoutAbs","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"03ecbd868107e6f7"}},{"code_sha256_prefix":"4befb1744e90f3a1","entry":"Equalize","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"4befb1744e90f3a1"}},{"code_sha256_prefix":"08f47bae89750cac","entry":"Identity","repo":"etetteh/sota-data-augmentation-and-optimizers","repo_kind":"listed","path":"augmentation/RandAugment.py","file_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers/blob/HEAD/augmentation/RandAugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"08f47bae89750cac"}},{"code_sha256_prefix":"f5f0bf976dfcf068","entry":"Invert","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f5f0bf976dfcf068"}},{"code_sha256_prefix":"19b3cb2d9f27fcdb","entry":"Posterize","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"19b3cb2d9f27fcdb"}},{"code_sha256_prefix":"eb475b4fcf7d8891","entry":"RandAugment","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"eb475b4fcf7d8891"}},{"code_sha256_prefix":"e097e00c2974ac62","entry":"RandAugment","repo":"etetteh/sota-data-augmentation-and-optimizers","repo_kind":"listed","path":"augmentation/RandAugment.py","file_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers/blob/HEAD/augmentation/RandAugment.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e097e00c2974ac62"}},{"code_sha256_prefix":"cd8cce1f7b2b9e61","entry":"RandAugment","repo":"chenyang4/resmooth","repo_kind":"listed","path":"RandAugment/augmentations.py","file_url":"https://github.com/chenyang4/resmooth/blob/HEAD/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"cd8cce1f7b2b9e61"}},{"code_sha256_prefix":"b22d322fc26595bc","entry":"Rotate","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b22d322fc26595bc"}},{"code_sha256_prefix":"e1ccc58bf76a30b9","entry":"Sharpness","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e1ccc58bf76a30b9"}},{"code_sha256_prefix":"815f704e5efd8345","entry":"ShearX","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"815f704e5efd8345"}},{"code_sha256_prefix":"f5e3179cafd9393a","entry":"ShearY","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f5e3179cafd9393a"}},{"code_sha256_prefix":"70eab251c4b2bce2","entry":"Solarize","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"70eab251c4b2bce2"}},{"code_sha256_prefix":"e74342905c295c87","entry":"ToBLUR","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"e74342905c295c87"}},{"code_sha256_prefix":"c28a72552d33774e","entry":"ToCONTOUR","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"c28a72552d33774e"}},{"code_sha256_prefix":"6479c2b0e4d54d6a","entry":"ToEDGES","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"6479c2b0e4d54d6a"}},{"code_sha256_prefix":"ce08e08f28dfcee7","entry":"ToEMBOSS","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ce08e08f28dfcee7"}},{"code_sha256_prefix":"b2893a9a2ac1188f","entry":"TranslateX","repo":"etetteh/sota-data-augmentation-and-optimizers","repo_kind":"listed","path":"augmentation/RandAugment.py","file_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers/blob/HEAD/augmentation/RandAugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b2893a9a2ac1188f"}},{"code_sha256_prefix":"f03d112eee854337","entry":"TranslateX","repo":"chenyang4/resmooth","repo_kind":"listed","path":"RandAugment/augmentations.py","file_url":"https://github.com/chenyang4/resmooth/blob/HEAD/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"f03d112eee854337"}},{"code_sha256_prefix":"d6e5e2e212d3e912","entry":"TranslateXabs","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d6e5e2e212d3e912"}},{"code_sha256_prefix":"e3a2ec04026a49e8","entry":"TranslateY","repo":"etetteh/sota-data-augmentation-and-optimizers","repo_kind":"listed","path":"augmentation/RandAugment.py","file_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers/blob/HEAD/augmentation/RandAugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e3a2ec04026a49e8"}},{"code_sha256_prefix":"e02e6b30e0c6b0ab","entry":"TranslateY","repo":"chenyang4/resmooth","repo_kind":"listed","path":"RandAugment/augmentations.py","file_url":"https://github.com/chenyang4/resmooth/blob/HEAD/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e02e6b30e0c6b0ab"}},{"code_sha256_prefix":"52872165441774c7","entry":"TranslateYabs","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"52872165441774c7"}},{"code_sha256_prefix":"b6eb3433772b9aac","entry":"augment_list","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"b6eb3433772b9aac"}},{"code_sha256_prefix":"fa05edca4ee502d1","entry":"augment_list","repo":"etetteh/sota-data-augmentation-and-optimizers","repo_kind":"listed","path":"augmentation/RandAugment.py","file_url":"https://github.com/etetteh/sota-data-augmentation-and-optimizers/blob/HEAD/augmentation/RandAugment.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fa05edca4ee502d1"}},{"code_sha256_prefix":"0e2bfdf3982286ac","entry":"augment_list","repo":"chenyang4/resmooth","repo_kind":"listed","path":"RandAugment/augmentations.py","file_url":"https://github.com/chenyang4/resmooth/blob/HEAD/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0e2bfdf3982286ac"}},{"code_sha256_prefix":"5ea03e170ec307dd","entry":"auto_contrast","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"5ea03e170ec307dd"}},{"code_sha256_prefix":"033f4c7eebc4b8bc","entry":"autocontrast","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"033f4c7eebc4b8bc"}},{"code_sha256_prefix":"c853710460b412e7","entry":"brightness","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c853710460b412e7"}},{"code_sha256_prefix":"32a7da0ae8a21668","entry":"brightness","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"32a7da0ae8a21668"}},{"code_sha256_prefix":"5f1efa6a7f09bf92","entry":"color","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5f1efa6a7f09bf92"}},{"code_sha256_prefix":"747a0d64c7ffa9e5","entry":"color","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"747a0d64c7ffa9e5"}},{"code_sha256_prefix":"74223e0d5db8f6dc","entry":"contrast","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"74223e0d5db8f6dc"}},{"code_sha256_prefix":"6d3fa2f36220efed","entry":"contrast","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"6d3fa2f36220efed"}},{"code_sha256_prefix":"a07328daac80e5d4","entry":"cutout","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a07328daac80e5d4"}},{"code_sha256_prefix":"6f465d3353435748","entry":"equalize","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6f465d3353435748"}},{"code_sha256_prefix":"51eba7748cab33ee","entry":"equalize","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"51eba7748cab33ee"}},{"code_sha256_prefix":"b794fd0b35eea322","entry":"invert","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b794fd0b35eea322"}},{"code_sha256_prefix":"a14dd4fa2af8e72e","entry":"invert","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"a14dd4fa2af8e72e"}},{"code_sha256_prefix":"ac724bc0e98f3cda","entry":"posterize","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ac724bc0e98f3cda"}},{"code_sha256_prefix":"c2b9e317cc24e2a5","entry":"posterize","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"c2b9e317cc24e2a5"}},{"code_sha256_prefix":"6d903cf9b58e8ce3","entry":"rotate","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6d903cf9b58e8ce3"}},{"code_sha256_prefix":"8d1db612602ab793","entry":"rotate","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"8d1db612602ab793"}},{"code_sha256_prefix":"cbbf595da3dbb1fd","entry":"sharpness","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"cbbf595da3dbb1fd"}},{"code_sha256_prefix":"3f5e624979a30a88","entry":"sharpness","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"3f5e624979a30a88"}},{"code_sha256_prefix":"7fad25ebc151a21a","entry":"shear_x","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"7fad25ebc151a21a"}},{"code_sha256_prefix":"eb627b1078fe24a3","entry":"shear_y","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"eb627b1078fe24a3"}},{"code_sha256_prefix":"472154b113f3c670","entry":"shearx","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"472154b113f3c670"}},{"code_sha256_prefix":"9cc62c9a79622659","entry":"sheary","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9cc62c9a79622659"}},{"code_sha256_prefix":"b8a2aca46dc33d3f","entry":"solarize","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b8a2aca46dc33d3f"}},{"code_sha256_prefix":"f5999a1ee8824e22","entry":"solarize","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"f5999a1ee8824e22"}},{"code_sha256_prefix":"3e773c6c5bc796d4","entry":"transform_matrix_offset_center","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"3e773c6c5bc796d4"}},{"code_sha256_prefix":"9c2425c71cab36a2","entry":"translate_x","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9c2425c71cab36a2"}},{"code_sha256_prefix":"bd8449369ce2815d","entry":"translate_y","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"bd8449369ce2815d"}},{"code_sha256_prefix":"845982ca54304048","entry":"translatex","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"845982ca54304048"}},{"code_sha256_prefix":"2c8f458ee8d12c14","entry":"translatey","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"2c8f458ee8d12c14"}},{"code_sha256_prefix":"ad7a01616e026f1c","entry":"RandAugment","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ad7a01616e026f1c"}},{"code_sha256_prefix":"1c3be67e92763d85","entry":"SolarizeAdd","repo":"pwc-1/Paper-9","repo_kind":"listed","path":"3/AVA_cifar/src/RandAugment/augmentations.py","file_url":"https://github.com/pwc-1/Paper-9/blob/HEAD/3/AVA_cifar/src/RandAugment/augmentations.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"1c3be67e92763d85"}},{"code_sha256_prefix":"89a74c24e1285658","entry":"apply_policy","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"89a74c24e1285658"}},{"code_sha256_prefix":"93e2ff77da69661e","entry":"cutout","repo":"lyxxn0414/test-data-generation","repo_kind":"listed","path":"auto_augment.py","file_url":"https://github.com/lyxxn0414/test-data-generation/blob/HEAD/auto_augment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"93e2ff77da69661e"}},{"code_sha256_prefix":"4b57170196836cae","entry":"get_transform","repo":"zhanghang1989/fast-autoaug-torch","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/zhanghang1989/fast-autoaug-torch/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4b57170196836cae"}},{"code_sha256_prefix":"3931a647e47e6c9e","entry":"solarizeadd","repo":"nachiket273/pytorch_resnet_rs","repo_kind":"listed","path":"model/randaugment.py","file_url":"https://github.com/nachiket273/pytorch_resnet_rs/blob/HEAD/model/randaugment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3931a647e47e6c9e"}},{"code_sha256_prefix":"50c88035541deccb","entry":"subsample_dataset","repo":"zhanghang1989/fast-autoaug-torch","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/zhanghang1989/fast-autoaug-torch/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"50c88035541deccb"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}