Update ALGO_HASH (Project-MONAI#6384)

Fixes Project-MONAI#6378 .

### Description

- Project-MONAI/research-contributions#221
- Project-MONAI/research-contributions#219

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: Mingxin Zheng <[email protected]>
Signed-off-by: Wenqi Li <[email protected]>
Co-authored-by: Wenqi Li <[email protected]>
Co-authored-by: Wenqi Li <[email protected]>

monai/apps/auto3dseg/bundle_gen.py

@@ -36,7 +36,7 @@
 from monai.utils.enums import AlgoKeys
 
 logger = get_logger(module_name=__name__)
-ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "80c832e")
+ALGO_HASH = os.environ.get("MONAI_ALGO_HASH", "629ec7e")
 
 __all__ = ["BundleAlgo", "BundleGen"]
 
@@ -174,7 +174,7 @@ def _create_cmd(self, train_params: None | dict = None) -> tuple[str, str]:
 
         if os.path.isdir(config_dir):
             base_cmd = ""
-            for file in os.listdir(config_dir):
+            for file in sorted(os.listdir(config_dir)):
                 if not (file.endswith("yaml") or file.endswith("json")):
                     continue
                 base_cmd += f"{train_py} run --config_file=" if len(base_cmd) == 0 else ","

monai/apps/datasets.py

@@ -586,7 +586,7 @@ def _download_series_reference_data(self, series_uid: str, download_dir: str) ->
         download_tcia_series_instance(
             series_uid=series_uid, download_dir=download_dir, output_dir=seg_first_dir, check_md5=False
         )
-        dicom_files = [f for f in os.listdir(seg_first_dir) if f.endswith(".dcm")]
+        dicom_files = [f for f in sorted(os.listdir(seg_first_dir)) if f.endswith(".dcm")]
         # achieve series number and patient id from the first dicom file
         dcm_path = os.path.join(seg_first_dir, dicom_files[0])
         ds = PydicomReader(stop_before_pixels=True, specific_tags=self.load_tags).read(dcm_path)

tests/test_integration_autorunner.py

@@ -58,6 +58,7 @@
         "num_warmup_epochs": 1,
         "use_pretrain": False,
         "pretrained_path": "",
+        "num_steps_per_image": 1,
     }
     if torch.cuda.is_available()
     else {}