update

merge_hdf5.py

@@ -0,0 +1,56 @@
+# %%
+import os
+
+import h5py
+import matplotlib.pyplot as plt
+from tqdm import tqdm
+
+# %%
+h5_dir = "waveform_h5"
+h5_out = "waveform.h5"
+h5_train = "waveform_train.h5"
+h5_test = "waveform_test.h5"
+
+h5_files = sorted(os.listdir(h5_dir))
+train_files = h5_files[:-1]
+test_files = h5_files[-1:]
+print(f"train files: {train_files}")
+print(f"test files: {test_files}")
+
+# %%
+with h5py.File(h5_out, "w") as fp:
+    # external linked file
+    for h5_file in h5_files:
+        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
+            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
+                if event not in fp:
+                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
+                else:
+                    print(f"{event} already exists")
+                    continue
+
+# %%
+with h5py.File(h5_train, "w") as fp:
+    # external linked file
+    for h5_file in train_files:
+        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
+            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
+                if event not in fp:
+                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
+                else:
+                    print(f"{event} already exists")
+                    continue
+
+# %%
+with h5py.File(h5_test, "w") as fp:
+    # external linked file
+    for h5_file in test_files:
+        with h5py.File(os.path.join(h5_dir, h5_file), "r") as f:
+            for event in tqdm(f.keys(), desc=h5_file, total=len(f.keys())):
+                if event not in fp:
+                    fp[event] = h5py.ExternalLink(os.path.join(h5_dir, h5_file), event)
+                else:
+                    print(f"{event} already exists")
+                    continue
+
+# %%

upload.py

@@ -0,0 +1,11 @@
+from huggingface_hub import HfApi
+
+api = HfApi()
+
+# Upload all the content from the local folder to your remote Space.
+# By default, files are uploaded at the root of the repo
+api.upload_folder(
+    folder_path="./",
+    repo_id="AI4EPS/quakeflow_nc",
+    repo_type="space",
+)