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https://github.com/titanscouting/tra-analysis.git
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rename analysis to tra_analysis, bump version to 2.0.0
Signed-off-by: Dev Singh <dev@devksingh.com>
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@ -7,8 +7,8 @@ with open("requirements.txt", 'r') as file:
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requirements.append(line)
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requirements.append(line)
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setuptools.setup(
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setuptools.setup(
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name="analysis",
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name="tra_analysis",
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version="1.0.0.012",
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version="2.0.0",
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author="The Titan Scouting Team",
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author="The Titan Scouting Team",
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author_email="titanscout2022@gmail.com",
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author_email="titanscout2022@gmail.com",
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description="analysis package developed by Titan Scouting for The Red Alliance",
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description="analysis package developed by Titan Scouting for The Red Alliance",
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@ -1,5 +1,5 @@
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from analysis import analysis as an
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from tra_analysis import analysis as an
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from analysis import metrics
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from tra_analysis import metrics
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def test_():
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def test_():
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test_data_linear = [1, 3, 6, 7, 9]
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test_data_linear = [1, 3, 6, 7, 9]
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@ -1,7 +1,7 @@
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# Titan Robotics Team 2022: Data Analysis Module
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# Titan Robotics Team 2022: Data Analysis Module
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# Written by Arthur Lu & Jacob Levine
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# Written by Arthur Lu & Jacob Levine
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# Notes:
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# Notes:
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# this should be imported as a python module using 'from analysis import analysis'
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# this should be imported as a python module using 'from tra_analysis import analysis'
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# this should be included in the local directory or environment variable
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# this should be included in the local directory or environment variable
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# this module has been optimized for multhreaded computing
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# this module has been optimized for multhreaded computing
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# current benchmark of optimization: 1.33 times faster
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# current benchmark of optimization: 1.33 times faster
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@ -345,8 +345,8 @@ __all__ = [
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# imports (now in alphabetical order! v 1.0.3.006):
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# imports (now in alphabetical order! v 1.0.3.006):
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import csv
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import csv
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from analysis.metrics import elo as Elo
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from tra_analysis.metrics import elo as Elo
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from analysis.metrics import glicko2 as Glicko2
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from tra_analysis.metrics import glicko2 as Glicko2
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import math
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import math
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import numba
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import numba
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from numba import jit
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from numba import jit
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@ -355,7 +355,7 @@ import scipy
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from scipy import optimize, stats
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from scipy import optimize, stats
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import sklearn
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import sklearn
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from sklearn import preprocessing, pipeline, linear_model, metrics, cluster, decomposition, tree, neighbors, naive_bayes, svm, model_selection, ensemble
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from sklearn import preprocessing, pipeline, linear_model, metrics, cluster, decomposition, tree, neighbors, naive_bayes, svm, model_selection, ensemble
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from analysis.metrics import trueskill as Trueskill
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from tra_analysis.metrics import trueskill as Trueskill
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import warnings
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import warnings
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class error(ValueError):
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class error(ValueError):
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@ -110,7 +110,7 @@ __all__ = [
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# imports:
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# imports:
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from analysis import analysis as an
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from tra_analysis import analysis as an
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import data as d
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import data as d
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import json
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import json
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import numpy as np
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import numpy as np
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