aws-samples / amazon-sagemaker-examples-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 37 files with 2,718 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 2 medium size files (468 lines of codeclsfd_ftr_w_mp_ins)
    • 7 small files (1,037 lines of code)
    • 28 very small files (1,213 lines of code)
0% | 0% | 17% | 38% | 44%
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% | 20% | 40% | 39%
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
distributed_training0% | 0% | 72% | 0% | 27%
autogluon0% | 0% | 0% | 81% | 18%
hpo_pytorch_mnist0% | 0% | 0% | 72% | 27%
sagemaker-experiments0% | 0% | 0% | 84% | 15%
nlp_amazon_review0% | 0% | 0% | 63% | 36%
edge_inference0% | 0% | 0% | 25% | 74%
amazon_forecast_tutorial0% | 0% | 0% | 76% | 23%
workshop0% | 0% | 0% | 0% | 100%
mlops0% | 0% | 0% | 0% | 100%
sagemaker_processing0% | 0% | 0% | 0% | 100%
tensorflow2_training_and_serving0% | 0% | 0% | 0% | 100%
Longest Files (Top 37)
File# lines# units
train_pytorch_single_maskrcnn.py
in distributed_training
 235 5
train_pytorch_smdataparallel_maskrcnn.py
in 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
mnist.py
in hpo_pytorch_mnist
 153 9
mnist_train.py
in sagemaker-experiments/pytorch_mnist/src
 153 9
train_and_deploy.py
in nlp_amazon_review/GluonNLP_BERT/src
 121 2
dlr.h
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 115 -
fcst_utils.py
in amazon_forecast_tutorial/common/util
 104 7
cnn_mnist_after.py
in workshop/lab_bring-your-own-model/tensorflow
 92 4
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5
classifier_train.py
in edge_inference/greengrass-ml-inference/src
 73 4
cnn_mnist_before.py
in workshop/lab_bring-your-own-model/tensorflow
 72 2
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1
input.html
in hpo_pytorch_mnist
 58 -
postprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess
 53 2
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/preprocess_script
 51 1
subscriber.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4
mnist.py
in tensorflow2_training_and_serving
 48 3
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1
e2e_mask_rcnn_R_50_FPN_1x_64GPU_4bs.yaml
in distributed_training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_16GPU_4bs.yaml
in distributed_training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_32GPU_4bs.yaml
in distributed_training
 45 -
e2e_mask_rcnn_R_50_FPN_1x_8GPU_4bs.yaml
in distributed_training
 45 -
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1
preprocess.py
in sagemaker_processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code
 43 1
publisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 -
transform.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 36 2
meta
compiled.meta
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1/classifier
 33 -
classification.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
 32 4
notebook_utils.py
in amazon_forecast_tutorial/common/util
 30 4
mnist_deploy.py
in sagemaker-experiments/pytorch_mnist/src
 28 3
com.example.Publisher-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 -
com.example.Subscriber-1.0.0.yaml
in edge_inference/greengrass-ml-inference/src/ggv2/components/recipes
 22 -
__init__.py
in amazon_forecast_tutorial/common/util
 2 -
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
 1 -
__init__.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 1 -
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 hpo_pytorch_mnist
 153 9
mnist_train.py
in sagemaker-experiments/pytorch_mnist/src
 153 9
fcst_utils.py
in amazon_forecast_tutorial/common/util
 104 7
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6
train_pytorch_single_maskrcnn.py
in distributed_training
 235 5
train_pytorch_smdataparallel_maskrcnn.py
in distributed_training
 233 5
inference.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 91 5
classification.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/model
 32 4
notebook_utils.py
in amazon_forecast_tutorial/common/util
 30 4
cnn_mnist_after.py
in workshop/lab_bring-your-own-model/tensorflow
 92 4
classifier_train.py
in edge_inference/greengrass-ml-inference/src
 73 4
subscriber.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Subscriber/1.0.0
 49 4
mnist.py
in tensorflow2_training_and_serving
 48 3
mnist_deploy.py
in sagemaker-experiments/pytorch_mnist/src
 28 3
train_and_deploy.py
in nlp_amazon_review/GluonNLP_BERT/src
 121 2
transform.py
in nlp_amazon_review/GluonNLP_BERT/src/bert/data
 36 2
postprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/postprocess
 53 2
cnn_mnist_before.py
in workshop/lab_bring-your-own-model/tensorflow
 72 2
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1
Files With Long Lines (Top 7)

There are 7 files with lines longer than 120 characters. In total, there are 9 long lines.

File# lines# units# long lines
train.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/container-training
 191 6 3
preprocess.py
in mlops/sagemaker-pipelines/sagemaker-pipelines-sample/preprocess
 64 1 1
ag_utils.py
in autogluon/tabular-prediction/AutoGluon-Tabular-with-SageMaker/utils
 200 14 1
classifier_train.py
in edge_inference/greengrass-ml-inference/src
 73 4 1
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.0
 46 1 1
IoTPublisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.IoTPublisher/1.0.1
 45 1 1
publisher.py
in edge_inference/greengrass-ml-inference/src/ggv2/components/artifacts/com.example.Publisher/1.0.0
 41 - 1