atoti.math package¶
Module contents¶
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atoti.math.abs(measure)¶ Return a measure equal to the absolute value of the passed measure.
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atoti.math.ceil(measure)¶ Return a measure equal to the smallest integer that is >= to the passed measure.
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atoti.math.cos(measure)¶ Return a measure equal to the cosine of the passed measure in radians.
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atoti.math.erf(measure)¶ Return the error function of the input measure.
This can be used to compute traditional statistical measures such as the cumulative standard normal distribution.
For more information read:
Python’s built-in
math.erf()
- Return type
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atoti.math.erfc(measure)¶ Return the complementary error function of the input measure.
This is the complementary of
atoti.math.erf(). It is defined as1.0 - erf. It can be used for large values of x where a subtraction from one would cause a loss of significance.- Return type
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atoti.math.exp(measure)¶ Return a measure equal to the exponential value of the passed measure.
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atoti.math.floor(measure)¶ Return a measure equal to the largest integer <= to the passed measure.
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atoti.math.log(measure)¶ Return a measure equal to the natural logarithm (base e) of the passed measure.
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atoti.math.log10(measure)¶ Return a measure equal to the base 10 logarithm of the passed measure.
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atoti.math.max(*measures)¶ Return a measure equal to the maximum of the passed arguments.
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atoti.math.min(*measures)¶ Return a measure equal to the minimum of the passed arguments.
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atoti.math.round(measure)¶ Return a measure equal to the closest integer to the passed measure.
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atoti.math.sin(measure)¶ Return a measure equal to the sine of the passed measure in radians.
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atoti.math.sqrt(measure)¶ Return a measure equal to the square root of the passed measure.
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