aws-samples / aws-ml-jp
File Size

The distribution of size of files (measured in lines of code).

Intro
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
File Size Overall
  • There are 68 files with 4,814 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 4 medium size files (1,115 lines of codeclsfd_ftr_w_mp_ins)
    • 12 small files (1,837 lines of code)
    • 52 very small files (1,862 lines of code)
0% | 0% | 23% | 38% | 38%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 25% | 39% | 35%
h0% | 0% | 0% | 100% | 0%
yaml0% | 0% | 0% | 0% | 100%
html0% | 0% | 0% | 0% | 100%
meta0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
vision/amazon-sagemaker-pytorch-detectron20% | 0% | 64% | 0% | 35%
sagemaker/distributed-training0% | 0% | 72% | 0% | 27%
sagemaker/sagemaker-inference0% | 0% | 0% | 78% | 21%
autogluon/tabular-prediction0% | 0% | 0% | 81% | 18%
sagemaker/hpo-pytorch-mnist0% | 0% | 0% | 72% | 27%
sagemaker/sagemaker-experiments0% | 0% | 0% | 84% | 15%
nlp/nlp_amazon_review0% | 0% | 0% | 63% | 36%
inference/edge0% | 0% | 0% | 25% | 74%
ai-services/forecast0% | 0% | 0% | 76% | 23%
sagemaker/workshop0% | 0% | 0% | 0% | 100%
mlops/sagemaker-pipelines0% | 0% | 0% | 0% | 100%
sagemaker/sagemaker-processing0% | 0% | 0% | 0% | 100%
mlops/edge-deploy0% | 0% | 0% | 0% | 100%
sagemaker/tensorflow2-training-and-serving0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
training.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k
 358 4
coco.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 289 6
train_pytorch_single_maskrcnn.py
in sagemaker/distributed-training
 235 5
train_pytorch_smdataparallel_maskrcnn.py
in sagemaker/distributed-training
 233 5
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6
train.py
in sagemaker/sagemaker-inference/pytorch/code_mme
 183 8
train.py
in sagemaker/sagemaker-inference/pytorch/code_inf1
 162 8
train.py
in sagemaker/sagemaker-inference/pytorch/code_async
 162 8
train.py
in sagemaker/sagemaker-inference/pytorch/code_byoc
 156 7
mnist.py
in sagemaker/hpo-pytorch-mnist
 153 9
mnist_train.py
in sagemaker/sagemaker-experiments/pytorch_mnist/src
 153 9
train.py
in sagemaker/sagemaker-inference/pytorch/code_lambda
 137 6
train_and_deploy.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src
 121 2
dlr.h
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 115 -
fcst_utils.py
in ai-services/forecast/amazon_forecast_tutorial/common/util
 104 7
cnn_mnist_after.py
in sagemaker/workshop/lab_bring-your-own-model/tensorflow
 92 4
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5
catalog.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/datasets
 90 4
classifier_train.py
in inference/edge/greengrass-ml-inference/src
 73 4
cnn_mnist_before.py
in sagemaker/workshop/lab_bring-your-own-model/tensorflow
 72 2
custom_trainer.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine
 65 5
predict_sku110k.py
in vision/amazon-sagemaker-pytorch-detectron2/container_serving
 65 5
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1
inference.py
in mlops/edge-deploy/artifacts
 60 3
input.html
in sagemaker/hpo-pytorch-mnist
 58 -
postprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess
 53 2
preprocess.py
in sagemaker/sagemaker-processing/processing_with_bring_your_own_container_for_beginner/preprocess_script
 51 1
subscriber.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4
utils.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 48 3
mnist.py
in sagemaker/tensorflow2-training-and-serving
 48 3
hooks.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine
 47 2
IoTPublisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1
IoTPublisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1
e2e_mask_rcnn_R_50_FPN_1x_64GPU_4bs.yaml
in sagemaker/distributed-training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_16GPU_4bs.yaml
in sagemaker/distributed-training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_32GPU_4bs.yaml
in sagemaker/distributed-training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_8GPU_4bs.yaml
in sagemaker/distributed-training
 45 -
preprocess.py
in sagemaker/sagemaker-processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code
 43 1
publisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 -
predictor.py
in sagemaker/sagemaker-inference/tensorflow/container/tfserve
 41 4
transform.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/data
 36 2
factory.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 34 2
meta
compiled.meta
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 33 -
classification.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/model
 32 4
notebook_utils.py
in ai-services/forecast/amazon_forecast_tutorial/common/util
 30 4
inference.py
in sagemaker/sagemaker-inference/pytorch/code_async
 29 4
mnist_deploy.py
in sagemaker/sagemaker-experiments/pytorch_mnist/src
 28 3
com.example.Publisher-1.0.0.yaml
in inference/edge/greengrass-ml-inference/src/ggv2/components/recipes
 22 -
com.example.Subscriber-1.0.0.yaml
in inference/edge/greengrass-ml-inference/src/ggv2/components/recipes
 22 -
Files With Most Units (Top 20)
File# lines# units
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14
mnist.py
in sagemaker/hpo-pytorch-mnist
 153 9
mnist_train.py
in sagemaker/sagemaker-experiments/pytorch_mnist/src
 153 9
train.py
in sagemaker/sagemaker-inference/pytorch/code_inf1
 162 8
train.py
in sagemaker/sagemaker-inference/pytorch/code_async
 162 8
train.py
in sagemaker/sagemaker-inference/pytorch/code_mme
 183 8
fcst_utils.py
in ai-services/forecast/amazon_forecast_tutorial/common/util
 104 7
train.py
in sagemaker/sagemaker-inference/pytorch/code_byoc
 156 7
coco.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 289 6
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6
train.py
in sagemaker/sagemaker-inference/pytorch/code_lambda
 137 6
custom_trainer.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine
 65 5
predict_sku110k.py
in vision/amazon-sagemaker-pytorch-detectron2/container_serving
 65 5
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5
train_pytorch_single_maskrcnn.py
in sagemaker/distributed-training
 235 5
train_pytorch_smdataparallel_maskrcnn.py
in sagemaker/distributed-training
 233 5
classifier_train.py
in inference/edge/greengrass-ml-inference/src
 73 4
subscriber.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4
classification.py
in nlp/nlp_amazon_review/GluonNLP_BERT/src/bert/model
 32 4
notebook_utils.py
in ai-services/forecast/amazon_forecast_tutorial/common/util
 30 4
Files With Long Lines (Top 10)

There are 10 files with lines longer than 120 characters. In total, there are 12 long lines.

File# lines# units# long lines
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6 3
classifier_train.py
in inference/edge/greengrass-ml-inference/src
 73 4 1
IoTPublisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1 1
IoTPublisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1 1
publisher.py
in inference/edge/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 - 1
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1 1
factory.py
in vision/amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/evaluation
 34 2 1
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14 1
inference.py
in sagemaker/sagemaker-inference/tensorflow/code
 14 2 1
predictor.py
in sagemaker/sagemaker-inference/tensorflow/container/tfserve
 41 4 1