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""" | ||
Name: i.pca test | ||
Purpose: Tests i.pca. | ||
Author: Hamed Elgizery - [email protected] | ||
Copyright: (C) 2024 by Hamed Elgizery and the GRASS Development Team | ||
Licence: This program is free software under the GNU General Public | ||
License (>=v2). Read the file COPYING that comes with GRASS | ||
for details. | ||
""" | ||
from grass.gunittest.case import TestCase | ||
|
||
|
||
class TestReport(TestCase): | ||
@classmethod | ||
def setUpClass(cls): | ||
"""Use temporary region settings""" | ||
cls.runModule("g.region", raster="lsat7_2002_10@PERMANENT") | ||
cls.use_temp_region() | ||
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||
@classmethod | ||
def tearDownClass(cls): | ||
cls.runModule( | ||
"g.remove", | ||
flags="f", | ||
type="raster", | ||
name="lsat7_2002_pca.1,lsat7_2002_pca.2,lsat7_2002_pca.3,lsat7_2002_pca.4,lsat7_2002_pca.6", | ||
) | ||
cls.del_temp_region() | ||
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def test_pca_sample(self): | ||
"""Testing pca sample""" | ||
self.assertModule( | ||
"i.pca", | ||
input="lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40,lsat7_2002_50,lsat7_2002_70", | ||
output="lsat7_2002_pca", | ||
) | ||
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||
lsat7_2002_pca_info_out = """north=228513 | ||
south=214975.5 | ||
east=645012 | ||
west=629992.5 | ||
nsres=28.5 | ||
ewres=28.5 | ||
rows=475 | ||
cols=527 | ||
cells=250325 | ||
datatype=CELL | ||
ncats=0 | ||
comments=\"Eigen values, (vectors), and [percent importance]:PC1 4334.35 ( 0.2824, 0.3342, 0.5092,-0.0087, 0.5264, 0.5217) [83.04%]PC2 588.31 ( 0.2541, 0.1885, 0.2923,-0.7428,-0.5110,-0.0403) [11.27%]PC3 239.22 ( 0.3801, 0.3819, 0.2681, 0.6238,-0.4000,-0.2980) [ 4.58%]PC4 32.85 ( 0.1752,-0.0191,-0.4053, 0.1593,-0.4435, 0.7632) [ 0.63%]PC5 20.73 (-0.6170,-0.2514, 0.6059, 0.1734,-0.3235, 0.2330) [ 0.40%]PC6 4.08 (-0.5475, 0.8021,-0.2282,-0.0607,-0.0208, 0.0252) [ 0.08%]i.pca input=\"lsat7_2002_10,lsat7_2002_20,lsat7_2002_30,lsat7_2002_40\,lsat7_2002_50,lsat7_2002_70\" output=\"lsat7_2002_pca\" rescale=0,255 \percent=99" """ | ||
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lsat7_2002_pca_univar_out = [ | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=60.6958074503146 | ||
mean_of_abs=60.6958074503146 | ||
stddev=32.8850846003739 | ||
variance=1081.42878917375 | ||
coeff_var=54.1801583697417 | ||
sum=15193678 | ||
first_quartile=36 | ||
median=51 | ||
third_quartile=77 | ||
percentile_90=101""", | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=106.099418755618 | ||
mean_of_abs=106.099418755618 | ||
stddev=26.4487056926998 | ||
variance=699.534032819051 | ||
coeff_var=24.928228639612 | ||
sum=26559337 | ||
first_quartile=88 | ||
median=104 | ||
third_quartile=121 | ||
percentile_90=137""", | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=74.1768980325577 | ||
mean_of_abs=74.1768980325577 | ||
stddev=14.1956266450161 | ||
variance=201.515815844691 | ||
coeff_var=19.1375307158104 | ||
sum=18568332 | ||
first_quartile=67 | ||
median=74 | ||
third_quartile=81 | ||
percentile_90=88""", | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=113.285145311096 | ||
mean_of_abs=113.285145311096 | ||
stddev=10.689092045444 | ||
variance=114.256688755974 | ||
coeff_var=9.43556369733241 | ||
sum=28358104 | ||
first_quartile=109 | ||
median=114 | ||
third_quartile=118 | ||
percentile_90=122""", | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=110.346713272745 | ||
mean_of_abs=110.346713272745 | ||
stddev=8.43087149474902 | ||
variance=71.0795941609716 | ||
coeff_var=7.64034672596938 | ||
sum=27622541 | ||
first_quartile=106 | ||
median=110 | ||
third_quartile=114 | ||
percentile_90=118""", | ||
"""n=250325 | ||
null_cells=0 | ||
cells=250325 | ||
min=0 | ||
max=255 | ||
range=255 | ||
mean=115.238465994208 | ||
mean_of_abs=115.238465994208 | ||
stddev=8.97064489504434 | ||
variance=80.4724698329851 | ||
coeff_var=7.78441887233665 | ||
sum=28847069 | ||
first_quartile=110 | ||
median=115 | ||
third_quartile=121 | ||
percentile_90=126""", | ||
] | ||
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for i in range(1, 7): | ||
# Asserting the results givien from r.info | ||
self.assertRasterFitsInfo( | ||
raster=f"lsat7_2002_pca.{i}", | ||
reference=lsat7_2002_pca_info_out, | ||
precision=3, | ||
) | ||
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# Asserting the results givien from r.univar | ||
univar_out = lsat7_2002_pca_univar_out[i - 1] | ||
self.assertModuleKeyValue( | ||
"r.univar", | ||
flags="eg", | ||
map=f"lsat7_2002_pca.{i}", | ||
reference=univar_out, | ||
precision=3, | ||
sep="=", | ||
) | ||
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if __name__ == "__main__": | ||
from grass.gunittest.main import test | ||
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test() |
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