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gdal/swig/python/gdal-utils/osgeo_utils/auxiliary/array_util.py - add…
… ArrayLike, ScalarLike, ArrayOrScalarLike types (to be used instead of NumpyCompatibleArray, NumpyCompatibleArrayOrReal), removes numpy dependency osr_util.py, gdallocationinfo.py, numpy_util.py - use new types autotest/pyscripts/test_gdal_utils.py - test new types
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gdal/swig/python/gdal-utils/osgeo_utils/auxiliary/array_util.py
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#!/usr/bin/env python3 | ||
# -*- coding: utf-8 -*- | ||
# ****************************************************************************** | ||
# | ||
# Project: GDAL utils.auxiliary | ||
# Purpose: array and scalar related types functions | ||
# Author: Idan Miara <[email protected]> | ||
# | ||
# ****************************************************************************** | ||
# Copyright (c) 2021, Idan Miara <[email protected]> | ||
# | ||
# Permission is hereby granted, free of charge, to any person obtaining a | ||
# copy of this software and associated documentation files (the "Software"), | ||
# to deal in the Software without restriction, including without limitation | ||
# the rights to use, copy, modify, merge, publish, distribute, sublicense, | ||
# and/or sell copies of the Software, and to permit persons to whom the | ||
# Software is furnished to do so, subject to the following conditions: | ||
# | ||
# The above copyright notice and this permission notice shall be included | ||
# in all copies or substantial portions of the Software. | ||
# | ||
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS | ||
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL | ||
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING | ||
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER | ||
# DEALINGS IN THE SOFTWARE. | ||
# ****************************************************************************** | ||
import array | ||
import math | ||
from typing import Union, Sequence, TYPE_CHECKING | ||
|
||
ScalarLike = Union[ | ||
int, | ||
float, | ||
] | ||
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if TYPE_CHECKING: | ||
# avoid "TypeError: Subscripted generics cannot be used with class and instance checks" while using isinstance() | ||
ArrayLike = Union[ | ||
ScalarLike, | ||
Sequence[ScalarLike], | ||
array.array, | ||
] | ||
else: | ||
ArrayLike = Union[ | ||
ScalarLike, | ||
Sequence, | ||
array.array, | ||
] | ||
|
||
try: | ||
from numpy import ndarray | ||
ArrayLike = Union[ArrayLike, ndarray] | ||
except ImportError: | ||
pass | ||
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ArrayOrScalarLike = Union[ArrayLike, ScalarLike] | ||
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|
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def array_dist(x: ArrayOrScalarLike, y: ArrayOrScalarLike, is_max: bool = True) -> ScalarLike: | ||
if isinstance(x, ScalarLike.__args__): | ||
return abs(x-y) | ||
try: | ||
from osgeo_utils.auxiliary.numpy_util import array_dist as np_array_dist | ||
return np_array_dist(x=x, y=y, is_max=is_max) | ||
except ImportError as e: | ||
return max(abs(a-b) for a, b in zip(x, y)) if is_max else max(abs(a-b) for a, b in zip(x, y)) |
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