Create test.py

test.py

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+from huggingface_hub import HfFileSystem
+
+def manage_hf_files(hf_token):
+    # Initialize the Hugging Face file system
+    fs = HfFileSystem(token = hf_token)
+
+    try:
+        # List all files in a directory
+        print("Listing all files in the directory:")
+        files_in_dir = fs.ls("datasets/bupa1018/Test/data", detail=False)
+        for file in files_in_dir:
+            print(file)
+
+        # List all ".csv" files in a repository
+        print("\nListing all '.csv' files in the repository:")
+        csv_files = fs.glob("datasets/my-username/my-dataset-repo/**/*.csv")
+        for csv_file in csv_files:
+            print(csv_file)
+
+        print("\nListing all '.csv' files in the repository:")
+        json_files = fs.glob("datasets/my-username/my-dataset-repo/**/*.json")
+        for json_file in json_files:
+            print("Json_File:", json_file)
+
+        # Read a remote file line-by-line
+        print("\nReading the content of 'repo_data.json' (line-by-line):")
+        with fs.open("datasets/bupa1018/Test/data/repo_data.json", "r") as f:
+            repo_data = f.readlines()
+            for line in repo_data:
+                print(line.strip())
+
+        # Read the content of a remote file as a single string
+        print("\nReading the content of 'repo_data.json' (as a single string):")
+        train_data = fs.read_text("datasets/bupa1018/Test/data/repo_data.json", revision="dev")
+        print("print the content of a remote file as a single string")
+        print(train_data)
+
+        # Write to a remote file
+        print("\nWriting to 'hello.csv':")
+        with fs.open("datasets/bupa1018/Test/data/hello.csv", "w") as f:
+            f.write("text,label\n")
+            f.write("Fantastic movie!,good\n")
+        print("Data successfully written to 'hello.csv'.")
+
+    except Exception as e:
+        print(f"An error occurred: {e}")