Update validate.py

Author: rich-iannone

pointblank/validate.py

@@ -735,11 +735,6 @@ def get_data_path(
                 return tmp_file.name
 
 
-# =============================================================================
-# Utility functions for processing input data (shared by preview() and Validate class)
-# =============================================================================
-
-
 def _process_data(data: FrameT | Any) -> FrameT | Any:
     """
     Centralized data processing pipeline that handles all supported input types.
@@ -749,6 +744,7 @@ def _process_data(data: FrameT | Any) -> FrameT | Any:
     sequence of transformations to handle different data source types.
 
     The processing order is important:
+
     1. GitHub URLs (must come before connection string processing)
     2. Database connection strings
     3. CSV file paths
@@ -758,41 +754,18 @@ def _process_data(data: FrameT | Any) -> FrameT | Any:
     ----------
     data : FrameT | Any
         The input data which could be:
-        - A DataFrame object (Polars, Pandas, Ibis, etc.)
-        - A GitHub URL pointing to a CSV or Parquet file
-        - A database connection string (e.g., "duckdb:///path/to/file.ddb::table_name")
-        - A CSV file path (string or Path object with .csv extension)
-        - A Parquet file path, glob pattern, directory, or partitioned dataset
-        - Any other data type (returned unchanged)
+        - a DataFrame object (Polars, Pandas, Ibis, etc.)
+        - a GitHub URL pointing to a CSV or Parquet file
+        - a database connection string (e.g., "duckdb:///path/to/file.ddb::table_name")
+        - a CSV file path (string or Path object with .csv extension)
+        - a Parquet file path, glob pattern, directory, or partitioned dataset
+        - any other data type (returned unchanged)
 
     Returns
     -------
     FrameT | Any
         Processed data as a DataFrame if input was a supported data source type,
         otherwise the original data unchanged.
-
-    Examples
-    --------
-    >>> # GitHub URL
-    >>> data = "https://github.com/user/repo/blob/main/data.csv"
-    >>> df = _process_data(data)
-
-    >>> # Database connection string
-    >>> data = "duckdb:///path/to/database.ddb::table_name"
-    >>> df = _process_data(data)
-
-    >>> # CSV file
-    >>> data = "data.csv"
-    >>> df = _process_data(data)
-
-    >>> # Parquet file/pattern
-    >>> data = "data/*.parquet"
-    >>> df = _process_data(data)
-
-    >>> # Already a DataFrame - returned unchanged
-    >>> import polars as pl
-    >>> df = pl.DataFrame({"a": [1, 2, 3]})
-    >>> result = _process_data(df)  # Same as input
     """
     # Handle GitHub URL input (e.g., "https://github.com/user/repo/blob/main/data.csv")
     data = _process_github_url(data)