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from django.db.models import Aggregate, FloatField, IntegerField
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__all__ = [
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'CovarPop', 'Corr', 'RegrAvgX', 'RegrAvgY', 'RegrCount', 'RegrIntercept',
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'RegrR2', 'RegrSlope', 'RegrSXX', 'RegrSXY', 'RegrSYY', 'StatAggregate',
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]
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class StatAggregate(Aggregate):
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output_field = FloatField()
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def __init__(self, y, x, output_field=None, filter=None, default=None):
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if not x or not y:
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raise ValueError('Both y and x must be provided.')
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super().__init__(y, x, output_field=output_field, filter=filter, default=default)
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class Corr(StatAggregate):
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function = 'CORR'
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class CovarPop(StatAggregate):
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def __init__(self, y, x, sample=False, filter=None, default=None):
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self.function = 'COVAR_SAMP' if sample else 'COVAR_POP'
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super().__init__(y, x, filter=filter, default=default)
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class RegrAvgX(StatAggregate):
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function = 'REGR_AVGX'
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class RegrAvgY(StatAggregate):
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function = 'REGR_AVGY'
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class RegrCount(StatAggregate):
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function = 'REGR_COUNT'
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output_field = IntegerField()
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empty_result_set_value = 0
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class RegrIntercept(StatAggregate):
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function = 'REGR_INTERCEPT'
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class RegrR2(StatAggregate):
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function = 'REGR_R2'
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class RegrSlope(StatAggregate):
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function = 'REGR_SLOPE'
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class RegrSXX(StatAggregate):
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function = 'REGR_SXX'
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class RegrSXY(StatAggregate):
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function = 'REGR_SXY'
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class RegrSYY(StatAggregate):
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function = 'REGR_SYY'
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