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from __future__ import annotations
from enum import Enum
from dataclasses import dataclass
from abc import ABC, abstractstaticmethod
import geopandas as gpd

# The current feature catalog class is doing a lot and feels overloaded.
# it's trying to be a factory/formatter class and a dataset class. I think
# we can split the dataset classes into a few separate concrete implementations
# of a FeatureCatalog abstract base class. This class will have it's own

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def alternate_raster_values(raster_filename, out_filename):
    with rasterio.open(raster_filename, "r") as src:
        data = src.read(1)
        profile = src.profile
        
    for i in range(data.shape[0]):
        data[i] = 0
        if i % 2 == 0:
            data[i][1::2] = 1
        else:

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