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.
File Size Overall
- There are 537 files with 40,351 lines of code.
- 2 very long files (6,994 lines of code)
- 4 long files (2,326 lines of code)
- 30 medium size files (9,570 lines of codeclsfd_ftr_w_mp_ins)
- 70 small files (10,326 lines of code)
- 431 very small files (11,135 lines of code)
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
File Size per Logical Decomposition
primary
Longest Files (Top 50)
| File | # lines | # units |
|---|---|---|
saved_model.pb in tfx/benchmarks/datasets/chicago_taxi/model/tft_saved_model |
5944 | - |
 executor.py in tfx/components/transform |
1050 | 56 |
metadata.py in tfx/orchestration |
715 | 36 |
pipeline_state.py in tfx/orchestration/experimental/core |
557 | 64 |
pipeline_ops.py in tfx/orchestration/experimental/core |
527 | 22 |
metadata_test_utils.py in tfx/orchestration |
527 | 19 |
pipeline.proto in tfx/proto/orchestration |
478 | - |
placeholder.py in tfx/dsl/placeholder |
475 | 71 |
artifact.py in tfx/types |
474 | 46 |
step_builder.py in tfx/orchestration/kubeflow/v2 |
463 | 12 |
utils.py in tfx/components/example_gen |
436 | 17 |
tfma_v2_benchmark_base.py in tfx/benchmarks |
424 | 29 |
compiler.py in tfx/dsl/compiler |
419 | 22 |
launcher.py in tfx/orchestration/portable |
414 | 15 |
placeholder_utils.py in tfx/dsl/compiler |
408 | 20 |
partial_run_utils.py in tfx/orchestration/portable |
396 | 29 |
standard_component_specs.py in tfx/types |
382 | - |
prediction_clients.py in tfx/extensions/google_cloud_ai_platform |
330 | 14 |
sync_pipeline_task_gen.py in tfx/orchestration/experimental/core |
321 | 14 |
tft_benchmark_base.py in tfx/benchmarks |
284 | 17 |
pipeline.py in tfx/tools/cli/commands |
280 | 8 |
compiler_utils.py in tfx/orchestration/kubeflow/v2 |
276 | 14 |
container_entrypoint.py in tfx/orchestration/kubeflow |
275 | 12 |
executor.py in tfx/components/infra_validator |
266 | 14 |
executor.py in tfx/components/evaluator |
255 | 2 |
run.py in tfx/tools/cli/commands |
253 | 7 |
component_spec.py in tfx/types |
249 | 21 |
task_manager.py in tfx/orchestration/experimental/core |
244 | 19 |
kubernetes_runner.py in tfx/components/infra_validator/model_server_runners |
243 | 14 |
container_based_test_case.py in tfx/experimental/templates |
241 | 26 |
infra_validator.proto in tfx/proto |
233 | - |
placeholder.proto in tfx/proto/orchestration |
222 | - |
async_pipeline_task_gen.py in tfx/orchestration/experimental/core |
214 | 8 |
udf_utils.py in tfx/components/util |
208 | 14 |
graph_partition.py in tfx/experimental/distributed_inference/graphdef_experiments/subgraph_partitioning |
205 | 22 |
setup.py in root |
202 | 8 |
kubeflow_dag_runner.py in tfx/orchestration/kubeflow |
195 | 15 |
training_clients.py in tfx/extensions/google_cloud_ai_platform |
194 | 20 |
request_builder.py in tfx/components/infra_validator |
194 | 13 |
tfma_benchmark_base.py in tfx/benchmarks |
194 | 8 |
executor.py in tfx/extensions/google_cloud_ai_platform/tuner |
193 | 8 |
data_types_utils.py in tfx/orchestration |
192 | 12 |
outputs_utils.py in tfx/orchestration/portable |
191 | 15 |
dataset.py in tfx/benchmarks/datasets/chicago_taxi |
190 | 14 |
executor.py in tfx/components/bulk_inferrer |
189 | 6 |
base_driver.py in tfx/dsl/components/base |
187 | 9 |
base_handler.py in tfx/tools/cli/handler |
187 | 22 |
tfxio_utils.py in tfx/components/util |
187 | 10 |
beam_dag_runner.py in tfx/orchestration/beam |
187 | 12 |
kubeflow_handler.py in tfx/tools/cli/handler |
182 | 20 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
placeholder.py in tfx/dsl/placeholder |
475 | 71 |
pipeline_state.py in tfx/orchestration/experimental/core |
557 | 64 |
executor.py in tfx/components/transform |
1050 | 56 |
artifact.py in tfx/types |
474 | 46 |
metadata.py in tfx/orchestration |
715 | 36 |
partial_run_utils.py in tfx/orchestration/portable |
396 | 29 |
tfma_v2_benchmark_base.py in tfx/benchmarks |
424 | 29 |
container_based_test_case.py in tfx/experimental/templates |
241 | 26 |
context_manager.py in tfx/dsl/context_managers |
95 | 25 |
resolver_op.py in tfx/dsl/input_resolution |
170 | 25 |
graph_partition.py in tfx/experimental/distributed_inference/graphdef_experiments/subgraph_partitioning |
205 | 22 |
compiler.py in tfx/dsl/compiler |
419 | 22 |
base_handler.py in tfx/tools/cli/handler |
187 | 22 |
pipeline_ops.py in tfx/orchestration/experimental/core |
527 | 22 |
base_node.py in tfx/dsl/components/base |
123 | 21 |
component_spec.py in tfx/types |
249 | 21 |
training_clients.py in tfx/extensions/google_cloud_ai_platform |
194 | 20 |
placeholder_utils.py in tfx/dsl/compiler |
408 | 20 |
kubeflow_handler.py in tfx/tools/cli/handler |
182 | 20 |
task_manager.py in tfx/orchestration/experimental/core |
244 | 19 |
Files With Long Lines (Top 4)
There are 4 files with lines longer than 120 characters. In total, there are 227 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
saved_model.pb in tfx/benchmarks/datasets/chicago_taxi/model/tft_saved_model |
5944 | - | 223 |
base_handler.py in tfx/tools/cli/handler |
187 | 22 | 2 |
infra_validator.proto in tfx/proto |
233 | - | 1 |
__init__.py in tfx/v1/extensions/google_cloud_ai_platform/experimental |
5 | - | 1 |