module numbers.cbenchmark_sum_type

Short summary

module cpyquickhelper.numbers.cbenchmark_sum_type

Measures the execution time of functions implemented in C, the measures are also implemented in C. The functions proposes different implements of a sum of all elements in vector.

source on GitHub

Documentation

Measures the execution time of functions implemented in C, the measures are also implemented in C. The functions proposes different implements of a sum of all elements in vector.

cpyquickhelper.numbers.cbenchmark_sum_type.measure_scenario_Double(values: List[float], repeat: int = 100, number: int = 10, verbose: bool = False) → ExecutionStat

Measure C++ implementation. Sum all elements with a double accumulator.

cpyquickhelper.numbers.cbenchmark_sum_type.measure_scenario_Float(values: List[float], repeat: int = 100, number: int = 10, verbose: bool = False) → ExecutionStat

Measure C++ implementation. Sum all elements with a float accumulator.

cpyquickhelper.numbers.cbenchmark_sum_type.vector_double_sum(arg0: numpy.ndarray[numpy.float32]) → float

Computes a sum in C++ with vectors of floats and a double accumulator.

cpyquickhelper.numbers.cbenchmark_sum_type.vector_float_sum(arg0: numpy.ndarray[numpy.float32]) → float

Computes a sum in C++ with vectors of floats and a float accumulator.