A python 3.6 implementation of the Measurement Canada S-S-01—Specifications for random sampling and randomization
RandomSample() takes the following arguments
lotsize: int
sample_size: int
data: datetime
seed: int
single: boolfrom MC_Random import RandomSample
from datetime import dateime
date = datetime(2018-11-26)
sample = RandomSample(lot_size=3000, sample_size=80, single=True)
print(sample.samples)
print(f"seed 1: {sample.s_e}")
print(f"seed 2: {sample.seed}")[sample1, sample2]
seed 1: 596505600
seed 2: 1016303
Where sample1 and sample2 are lists of sample items. In the case of this example sample1 would be a list of 80 numbers and sample2 would be an empty list
date = current date using datetime.utcnow()
lot_size = 3000
sample_size = 80
single = True
RandomSample.s_e: seed 1 or seconds from 2000-01-01 00:00:00 to datetime specified
RandomSample.seed: automatically generated seed or the seed provided
RandomSample.samples: always returns a list of lists [sample1, sample2] samples are scaled to the lost_size
RandomSample.stat_sample: returns unscaled samples selected
RandomSample.start_array: returns the original shuffling array
RandomeSample.mode: returns 1 for single sample or 2 for double