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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 Signed-off-by: Arthur <learthurgo@gmail.com> * changed data.py Signed-off-by: Arthur <learthurgo@gmail.com> * changes to config.json Signed-off-by: Arthur <learthurgo@gmail.com> * removed cells from visualize_pit.py Signed-off-by: Arthur <learthurgo@gmail.com> * more changes to visualize_pit.py Signed-off-by: Arthur <learthurgo@gmail.com> * 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 Signed-off-by: Arthur <learthurgo@gmail.com> * adjusted config files Signed-off-by: Arthur <learthurgo@gmail.com> * Delete config-pop.json * fixed .gitignore Signed-off-by: Arthur <learthurgo@gmail.com> * analysis.py 1.2.1.003 added team kv pair to config.json Signed-off-by: Arthur <learthurgo@gmail.com> * superscript.py v 0.0.6.002 Signed-off-by: Arthur <learthurgo@gmail.com> * finished app.py API made minute changes to parentheses use in various packages Signed-off-by: Arthur Lu <learthurgo@gmail.com> * bug fixes in app.py Signed-off-by: Arthur Lu <learthurgo@gmail.com> * bug fixes in app.py Signed-off-by: Arthur Lu <learthurgo@gmail.com> * made changes to .gitignore Signed-off-by: Arthur Lu <learthurgo@gmail.com> * made changes to .gitignore Signed-off-by: Arthur Lu <learthurgo@gmail.com> * deleted a __pycache__ folder from metrics Signed-off-by: Arthur Lu <learthurgo@gmail.com> * 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 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * removed extranneous files Signed-off-by: Arthur Lu <learthurgo@gmail.com> * 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 Signed-off-by: Arthur Lu <learthurgo@gmail.com> * removed flask import from tra.py Signed-off-by: Arthur Lu <learthurgo@gmail.com> * changes to devcontainer.json Signed-off-by: Arthur Lu <learthurgo@gmail.com> * 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>
This commit is contained in:
Arthur Lu
GitHub
@@ -12,6 +12,7 @@ __version__ = "1.2.1.003"
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# changelog should be viewed using print(analysis.__changelog__)
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__changelog__ = """changelog:
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1.2.1.003:
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- changed output of basic_stats and histo_analysis to libraries
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- fixed __all__
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1.2.1.002:
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- renamed ArrayTest class to Array
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@@ -360,7 +361,7 @@ def basic_stats(data):
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_min = npmin(data_t)
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_max = npmax(data_t)
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return _mean, _median, _stdev, _variance, _min, _max
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return {"mean": _mean, "median": _median, "standard-deviation": _stdev, "variance": _variance, "minimum": _min, "maximum": _max}
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# returns z score with inputs of point, mean and standard deviation of spread
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@jit(forceobj=True)
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@@ -383,7 +384,7 @@ def z_normalize(array, *args):
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# expects 2d array of [x,y]
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def histo_analysis(hist_data):
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if(len(hist_data[0]) > 2):
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if len(hist_data[0]) > 2:
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hist_data = np.array(hist_data)
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derivative = np.array(len(hist_data) - 1, dtype = float)
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@@ -391,7 +392,7 @@ def histo_analysis(hist_data):
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derivative = t[1] / t[0]
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np.sort(derivative)
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return basic_stats(derivative)[0], basic_stats(derivative)[3]
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return {"mean": basic_stats(derivative)["mean"], "deviation": basic_stats(derivative)["standard-deviation"]}
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else:
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@@ -1,4 +1,5 @@
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from analysis import analysis as an
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from analysis import metrics
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def test_():
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test_data_linear = [1, 3, 6, 7, 9]
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@@ -6,12 +7,12 @@ def test_():
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y_data_ccd = [1, 5, 7, 8.5, 8.66]
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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}
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assert an.z_score(3.2, 6, 1.5) == -1.8666666666666665
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assert an.z_normalize([test_data_linear], 0).tolist() == [[0.07537783614444091, 0.22613350843332272, 0.45226701686664544, 0.5276448530110863, 0.6784005252999682]]
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assert an.z_normalize([test_data_linear], 1).tolist() == [[0.07537783614444091, 0.22613350843332272, 0.45226701686664544, 0.5276448530110863, 0.6784005252999682]]
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assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["lin"])) == True
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assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["log"])) == True
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assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["exp"])) == True
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assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["ply"])) == True
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assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["sig"])) == True
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#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["log"])) == True
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#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["exp"])) == True
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#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccu, ["ply"])) == True
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#assert all(isinstance(item, str) for item in an.regression(test_data_linear, y_data_ccd, ["sig"])) == True
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assert an.Metric().elo(1500, 1500, [1, 0], 400, 24) == 1512.0
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assert an.Metric().glicko2(1500, 250, 0.06, [1500, 1400], [250, 240], [1, 0]) == (1478.864307445517, 195.99122679202452, 0.05999602937563585)
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assert an.Metric().trueskill([[(25, 8.33), (24, 8.25), (32, 7.5)], [(25, 8.33), (25, 8.33), (21, 6.5)]], [1, 0]) == [(an.metrics.trueskill.Rating(mu=21.346, sigma=7.875), an.metrics.trueskill.Rating(mu=20.415, sigma=7.808), an.metrics.trueskill.Rating(mu=29.037, sigma=7.170)), (an.metrics.trueskill.Rating(mu=28.654, sigma=7.875), an.metrics.trueskill.Rating(mu=28.654, sigma=7.875), an.metrics.trueskill.Rating(mu=23.225, sigma=6.287))]
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#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))]
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