Formatting modifications

- added __DEV_CONFIG__.json to prettierignore - start dev server on port 5000 - add F821 non imported objects to flake8 tests - utils Formatting - trainers Formatting

Author: theory-in-progress

.prettierignore

@@ -1,2 +1,3 @@
 dist
 pnpm-lock.yaml
+**/__DEV_CONFIG__.json

package.json

@@ -2,11 +2,11 @@
  "name": "@pytorch-ignite/code-generator",
  "version": "0.3.0",
  "scripts": {
- "dev": "vite",
+ "dev": "vite --port 5000",
  "build": "vite build",
  "serve": "vite preview",
- "test": "jest --color --runInBand",
- "test:ci": "rm -rf ./dist-tests && start-server-and-test --expect 200 serve http://127.0.0.1:5000 test",
+ "test": "rm -rf ./dist-tests && jest --color --runInBand",
+ "test:ci": "start-server-and-test --expect 200 serve http://127.0.0.1:5000 test",
  "release": "node scripts/release.js",
  "fmt": "prettier --write . && bash scripts/run_code_style.sh fmt",
  "min_lint": "prettier --check . && bash scripts/run_code_style.sh min_lint",

scripts/run_code_style.sh

@@ -6,7 +6,7 @@ if [ $1 == "lint" ]; then
  # Check that ./dist-tests/ exists and code is unzipped
  ls ./dist-tests/vision-classification-all/main.py
  ufmt diff .
- flake8 --select F401 ./dist-tests # find unused imports
+ flake8 --select F401,F821 ./dist-tests # find unused imports and non imported objects
 elif [ $1 == "min_lint" ]; then
  ufmt diff .
 elif [ $1 == "fmt" ]; then

src/templates/template-common/utils.py

@@ -16,7 +16,14 @@
 
 #::: } :::#
 #::: if (it.save_training || it.save_evaluation) { :::#
-from ignite.handlers import Checkpoint, DiskSaver, global_step_from_engine
+from ignite.handlers import (
+ Checkpoint,
+ DiskSaver,
+ global_step_from_engine,
+) # usort: skip
+
+#::: } else { :::#
+from ignite.handlers import Checkpoint
 
 #::: } :::#
 #::: if (it.patience) { :::#

src/templates/template-text-classification/trainers.py

@@ -2,14 +2,7 @@
 
 import ignite.distributed as idist
 import torch
-
-#::: if(it.deterministic) { :::#
-from ignite.engine import DeterministicEngine, Engine, Events # usort: skip
-
-#::: } else { :::#
-from ignite.engine import Engine, Events
-
-#::: } :::#
+from ignite.engine import DeterministicEngine, Engine, Events
 from ignite.metrics.metric import Metric
 from torch import nn
 from torch.cuda.amp import autocast, GradScaler

src/templates/template-vision-classification/trainers.py

@@ -2,14 +2,7 @@
 
 import ignite.distributed as idist
 import torch
-
-#::: if(it.deterministic) { :::#
-from ignite.engine import DeterministicEngine, Engine, Events # usort: skip
-
-#::: } else { :::#
-from ignite.engine import Engine, Events
-
-#::: } :::#
+from ignite.engine import DeterministicEngine, Engine, Events
 from torch.cuda.amp import autocast
 from torch.nn import Module
 from torch.optim import Optimizer

src/templates/template-vision-dcgan/trainers.py

@@ -2,14 +2,7 @@
 
 import ignite.distributed as idist
 import torch
-
-#::: if(it.deterministic) { :::#
-from ignite.engine import DeterministicEngine, Engine, Events # usort: skip
-
-#::: } else { :::#
-from ignite.engine import Engine, Events
-
-#::: } :::#
+from ignite.engine import DeterministicEngine, Engine, Events
 from torch.cuda.amp import autocast
 from torch.nn import Module
 from torch.optim import Optimizer

src/templates/template-vision-segmentation/trainers.py

@@ -3,14 +3,7 @@
 import ignite.distributed as idist
 import torch
 from data import prepare_image_mask
-
-#::: if(it.deterministic) { :::#
-from ignite.engine import DeterministicEngine, Engine, Events # usort: skip
-
-#::: } else { :::#
-from ignite.engine import Engine, Events
-
-#::: } :::#
+from ignite.engine import DeterministicEngine, Engine, Events
 from ignite.metrics import Metric
 from torch.cuda.amp import autocast, GradScaler
 from torch.nn import Module