Merge pull request #60 from titanscouting/fix-test-analysis

Fixed test_analysis.py
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zpan1 2020-10-16 13:32:15 -05:00 committed by GitHub
commit f111c1c865
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3 changed files with 30 additions and 17 deletions

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@ -1,6 +1,15 @@
from tra_analysis import analysis as an from tra_analysis import Analysis as an
from tra_analysis import metrics from tra_analysis import Array
from tra_analysis import fits from tra_analysis import ClassificationMetric
from tra_analysis import CorrelationTest
from tra_analysis import Fit
from tra_analysis import KNN
from tra_analysis import NaiveBayes
from tra_analysis import RandomForest
from tra_analysis import RegressionMetric
from tra_analysis import Sort
from tra_analysis import StatisticalTest
from tra_analysis import SVM
def test_(): def test_():
test_data_linear = [1, 3, 6, 7, 9] test_data_linear = [1, 3, 6, 7, 9]
@ -21,15 +30,15 @@ def test_():
assert an.Metric().elo(1500, 1500, [1, 0], 400, 24) == 1512.0 assert an.Metric().elo(1500, 1500, [1, 0], 400, 24) == 1512.0
assert an.Metric().glicko2(1500, 250, 0.06, [1500, 1400], [250, 240], [1, 0]) == (1478.864307445517, 195.99122679202452, 0.05999602937563585) assert an.Metric().glicko2(1500, 250, 0.06, [1500, 1400], [250, 240], [1, 0]) == (1478.864307445517, 195.99122679202452, 0.05999602937563585)
#assert an.Metric().trueskill([[(25, 8.33), (24, 8.25), (32, 7.5)], [(25, 8.33), (25, 8.33), (21, 6.5)]], [1, 0]) == [(metrics.trueskill.Rating(mu=21.346, sigma=7.875), metrics.trueskill.Rating(mu=20.415, sigma=7.808), metrics.trueskill.Rating(mu=29.037, sigma=7.170)), (metrics.trueskill.Rating(mu=28.654, sigma=7.875), metrics.trueskill.Rating(mu=28.654, sigma=7.875), metrics.trueskill.Rating(mu=23.225, sigma=6.287))] #assert an.Metric().trueskill([[(25, 8.33), (24, 8.25), (32, 7.5)], [(25, 8.33), (25, 8.33), (21, 6.5)]], [1, 0]) == [(metrics.trueskill.Rating(mu=21.346, sigma=7.875), metrics.trueskill.Rating(mu=20.415, sigma=7.808), metrics.trueskill.Rating(mu=29.037, sigma=7.170)), (metrics.trueskill.Rating(mu=28.654, sigma=7.875), metrics.trueskill.Rating(mu=28.654, sigma=7.875), metrics.trueskill.Rating(mu=23.225, sigma=6.287))]
assert all(a == b for a, b in zip(an.Sort().quicksort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.quicksort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().mergesort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.mergesort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().introsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.heapsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().heapsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.introsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().insertionsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.insertionsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().timsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.timsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().selectionsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.selectionsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().shellsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.shellsort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().bubblesort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.bubblesort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().cyclesort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.cyclesort(test_data_scrambled), test_data_sorted))
assert all(a == b for a, b in zip(an.Sort().cocktailsort(test_data_scrambled), test_data_sorted)) assert all(a == b for a, b in zip(Sort.cocktailsort(test_data_scrambled), test_data_sorted))
assert fits.CircleFit(x=[0,0,-1,1], y=[1, -1, 0, 0]).LSC() == (0.0, 0.0, 1.0, 0.0) assert Fit.CircleFit(x=[0,0,-1,1], y=[1, -1, 0, 0]).LSC() == (0.0, 0.0, 1.0, 0.0)

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@ -1,5 +1,5 @@
# Titan Robotics Team 2022: Sort submodule # Titan Robotics Team 2022: Sort submodule
# Written by Arthur Lu # Written by Arthur Lu and James Pan
# Notes: # Notes:
# this should be imported as a python module using 'from tra_analysis import Sort' # this should be imported as a python module using 'from tra_analysis import Sort'
# setup: # setup:
@ -14,11 +14,14 @@ __changelog__ = """changelog:
__author__ = ( __author__ = (
"Arthur Lu <learthurgo@gmail.com>", "Arthur Lu <learthurgo@gmail.com>",
"James Pan <zpan@imsa.edu>"
) )
__all__ = [ __all__ = [
] ]
import numpy as np
def quicksort(a): def quicksort(a):
def sort(array): def sort(array):

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@ -1,5 +1,5 @@
# Titan Robotics Team 2022: tra_analysis package # Titan Robotics Team 2022: tra_analysis package
# Written by Arthur Lu, Jacob Levine, and Dev Singh # Written by Arthur Lu, Jacob Levine, Dev Singh, and James Pan
# Notes: # Notes:
# this should be imported as a python package using 'import tra_analysis' # this should be imported as a python package using 'import tra_analysis'
# this should be included in the local directory or environment variable # this should be included in the local directory or environment variable
@ -20,6 +20,7 @@ __author__ = (
"Arthur Lu <learthurgo@gmail.com>", "Arthur Lu <learthurgo@gmail.com>",
"Jacob Levine <jlevine@imsa.edu>", "Jacob Levine <jlevine@imsa.edu>",
"Dev Singh <dev@devksingh.com>", "Dev Singh <dev@devksingh.com>",
"James Pan <zpan@imsa.edu>"
) )
__all__ = [ __all__ = [