add new function create mask hydro buffer

lidro/create_virtual_point/vectors/create_mask_hydro_buffer.py

@@ -0,0 +1,41 @@
+# -*- coding: utf-8 -*-
+""" Extract a Z elevation value every N meters along the hydrographic skeleton
+"""
+import geopandas as gpd
+from shapely.geometry import CAP_STYLE, MultiPolygon
+
+
+def apply_buffers_to_geometry(hydro_mask: gpd.GeoDataFrame, buffer: float) -> MultiPolygon:
+    """Buffer geometry
+    Objective: create a HYDRO mask largest
+
+    Args:
+        hydro_mask (gpd.GeoDataFrame): geopandas dataframe with input geometry
+        buffer (float): buffer to apply to the input geometry
+
+    Returns:
+        MutliPolygon: Mask Hydro with buffer
+    """
+    # Buffer
+    geom = hydro_mask.buffer(buffer, cap_style=CAP_STYLE.square)
+    return geom
+
+
+def create_mask_hydro_buffer(file_mask: str, buffer: float, crs: str | int) -> gpd.GeoDataFrame:
+    """Apply buffer (2 meters by default) from Mask Hydro
+
+    Args:
+        file_mask (str): Path from Mask Hydro
+        buffer (float): buffer to apply to the input geometry
+        crs (str | int): Make a CRS from an EPSG code : CRS WKT string
+
+    Returns:
+        gpd.GeoDataFrame : geometry columns are encoded to WKT
+    """
+    # Read Mask Hydro merged
+    gdf = gpd.read_file(file_mask, crs=crs).unary_union
+
+    # Apply buffer (2 meters by default) from Mask Hydro
+    gdf = apply_buffers_to_geometry(gdf, buffer)
+
+    return gdf