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""" | ||
gridfinder package contains the following modules: | ||
- _util.py : helper functions used internally | ||
- gridfinder.py : main implementation of Dijkstra's algorithm | ||
- post.py : postprocess the algorithm output and check accuracy | ||
- prepare.py : transforming input data into the cost and targets arrays | ||
""" | ||
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from importlib.metadata import version | ||
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from .gridfinder import * # NoQA | ||
from .post import * # NoQA | ||
from .prepare import * # NoQA | ||
from .util import * # NoQA | ||
from gridfinder.gridfinder import get_targets_costs, optimise | ||
from gridfinder.post import accuracy, raster_to_lines, thin, threshold, threshold_arr | ||
from gridfinder.prepare import ( | ||
clip_rasters, | ||
create_filter, | ||
drop_zero_pop, | ||
filter_func, | ||
merge_rasters, | ||
prepare_ntl, | ||
prepare_roads, | ||
) | ||
from gridfinder.util import clip_raster, save_raster | ||
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__version__ = version("gridfinder") | ||
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__all__ = [ | ||
"get_targets_costs", | ||
"optimise", | ||
"threshold", | ||
"threshold_arr", | ||
"thin", | ||
"raster_to_lines", | ||
"accuracy", | ||
"clip_rasters", | ||
"merge_rasters", | ||
"filter_func", | ||
"create_filter", | ||
"prepare_ntl", | ||
"drop_zero_pop", | ||
"prepare_roads", | ||
"save_raster", | ||
"clip_raster", | ||
] |
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