Simplify and remove hashes

Author: lauraporta

derotation/sample_data.py

@@ -10,26 +10,18 @@
 import pooch
 
 # URL to the remote data repository on GIN
-DATA_URL = "https://gin.g-node.org/l.porta/derotation_examples/src/master/"
+DATA_URL = "https://gin.g-node.org/l.porta/derotation_examples/raw/master/"
 
 # Save data in ~/.derotation/data
 DATA_DIR = Path("~", ".derotation", "data").expanduser()
 DATA_DIR.mkdir(parents=True, exist_ok=True)
 
-# File registry with SHA-256 checksums
+# File registry without checksums (just for file validation)
 REGISTRY = {
-    "angles_per_line.npy": (  # noqa: E501
-        "sha256:0a5dab081acdfb47ebd5cdda4094cc622b1ff708c63f6fadc1e7898d30789896"
-    ),
-    "rotation_sample.tif": (  # noqa: E501
-        "sha256:ad8aae61cda9495d9006fb37a1f87be8b6dd6477318b1e8a409417cace208f56"
-    ),
-    "analog_signals.npy": (  # noqa: E501
-        "sha256:e04437f86d07db8077c256f912e2bcca75794712d66715f301b99cd9a8d66d95"
-    ),
-    "stimulus_randperm.csv": (  # noqa: E501
-        "sha256:214617992d786ee210a7d2f22dbe7420997016846a79c673979913a5b77f0a11"
-    ),
+    "angles_per_line.npy": None,
+    "rotation_sample.tif": None,
+    "analog_signals.npy": None,
+    "stimulus_randperm.csv": None,
 }
 
 # Create a download manager
@@ -55,24 +47,8 @@ def fetch_data(filename: str) -> Path:
     """
     if filename not in REGISTRY:
         raise ValueError(
-            f"File '{filename}' not found in registry."
+            f"File '{filename}' not found in registry. "
             f"Available files: {list(REGISTRY.keys())}"
         )
 
     return Path(SAMPLE_DATA.fetch(filename, progressbar=True))
-
-
-def get_data_path(filename: str) -> Path:
-    """Get the path to a sample data file, downloading it if necessary.
-
-    Parameters
-    ----------
-    filename : str
-        Name of the file to get.
-
-    Returns
-    -------
-    Path
-        Path to the data file.
-    """
-    return fetch_data(filename)

examples/core_function.py

@@ -26,19 +26,19 @@
 import tifffile
 
 from derotation.derotate_by_line import derotate_an_image_array_line_by_line
-from derotation.sample_data import get_data_path
+from derotation.sample_data import fetch_data
 
 # %%
 # Load per-line rotation angles
 
-angles_path = get_data_path("angles_per_line.npy")
+angles_path = fetch_data("angles_per_line.npy")
 print(f"Loading per-line rotation angles from {angles_path}")
 angles_per_line = np.load(angles_path)  # Shape: (height,)
 
 # %%
 # Load the TIFF stack (shape: num_frames × height × width)
 
-tif_path = get_data_path("rotation_sample.tif")
+tif_path = fetch_data("rotation_sample.tif")
 print(f"Loading image stack from {tif_path}")
 image_stack = tifffile.imread(tif_path)
 

examples/pipeline_with_real_data.py

@@ -36,7 +36,7 @@
 
 from derotation.analysis.full_derotation_pipeline import FullPipeline
 from derotation.config.load_config import load_config, update_config_paths
-from derotation.sample_data import get_data_path
+from derotation.sample_data import fetch_data
 
 # %%
 # Load and update configuration
@@ -47,9 +47,9 @@
 config = load_config()
 config = update_config_paths(
     config=config,
-    tif_path=str(get_data_path("rotation_sample.tif")),
-    aux_path=str(get_data_path("analog_signals.npy")),
-    stim_randperm_path=str(get_data_path("stimulus_randperm.csv")),
+    tif_path=str(fetch_data("rotation_sample.tif")),
+    aux_path=str(fetch_data("analog_signals.npy")),
+    stim_randperm_path=str(fetch_data("stimulus_randperm.csv")),
     output_folder=str(current_module_path),
 )
 

examples/use_plotting_hooks.py

@@ -38,7 +38,7 @@
 
 from derotation.analysis.full_derotation_pipeline import FullPipeline
 from derotation.config.load_config import load_config, update_config_paths
-from derotation.sample_data import get_data_path
+from derotation.sample_data import fetch_data
 
 # %%
 # Load and configure paths
@@ -50,9 +50,9 @@
 config = load_config()
 config = update_config_paths(
     config=config,
-    tif_path=str(get_data_path("rotation_sample.tif")),
-    aux_path=str(get_data_path("analog_signals.npy")),
-    stim_randperm_path=str(get_data_path("stimulus_randperm.csv")),
+    tif_path=str(fetch_data("rotation_sample.tif")),
+    aux_path=str(fetch_data("analog_signals.npy")),
+    stim_randperm_path=str(fetch_data("stimulus_randperm.csv")),
     output_folder=str(output_folder),
 )