tra-analysis/analysis-master/test_analysis.py
Arthur Lu 2730e4fc91 Merge service-dev changes with master (#24)
* added config.json
removed old config files

Signed-off-by: Arthur <learthurgo@gmail.com>

* superscript.py v 0.0.6.000

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* changed data.py

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* changes to config.json

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* removed cells from visualize_pit.py

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* more changes to visualize_pit.py

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* added analysis-master/metrics/__pycache__ to git ignore
moved pit configs in config.json to the borrom
superscript.py v 0.0.6.001

Signed-off-by: Arthur <learthurgo@gmail.com>

* removed old database key

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* adjusted config files

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* Delete config-pop.json

* fixed .gitignore

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* analysis.py 1.2.1.003
added team kv pair to config.json

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* superscript.py v 0.0.6.002

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* finished app.py API
made minute changes to parentheses use in various packages

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* bug fixes in app.py

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* bug fixes in app.py

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* made changes to .gitignore

Signed-off-by: Arthur Lu <learthurgo@gmail.com>

* made changes to .gitignore

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* deleted a __pycache__ folder from metrics

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* more changes to .gitignore

Signed-off-by: Arthur Lu <learthurgo@gmail.com>

* additions to app.py

Signed-off-by: Arthur Lu <learthurgo@gmail.com>

* renamed app.py to api.py

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* removed extranneous files

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* renamed api.py to tra.py
removed rest api calls from tra.py

* renamed api.py to tra.py
removed rest api calls from tra.py

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* removed flask import from tra.py

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* changes to devcontainer.json

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* fixed unit tests to be correct
removed some tests regressions because of potential function overflow
removed trueskill unit test because of slight deviation chance

Signed-off-by: Arthur Lu <learthurgo@gmail.com>
2020-05-20 08:52:38 -05:00

18 lines
1.7 KiB
Python

from analysis import analysis as an
from analysis import metrics
def test_():
test_data_linear = [1, 3, 6, 7, 9]
y_data_ccu = [1, 3, 7, 14, 21]
y_data_ccd = [1, 5, 7, 8.5, 8.66]
assert an.basic_stats(test_data_linear) == {"mean": 5.2, "median": 6.0, "standard-deviation": 2.85657137141714, "variance": 8.16, "minimum": 1.0, "maximum": 9.0}
assert an.z_score(3.2, 6, 1.5) == -1.8666666666666665
assert an.z_normalize([test_data_linear], 1).tolist() == [[0.07537783614444091, 0.22613350843332272, 0.45226701686664544, 0.5276448530110863, 0.6784005252999682]]
assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["lin"])) == True
#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["log"])) == True
#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["exp"])) == True
#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["ply"])) == True
#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["sig"])) == True
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().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))]