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FROM nvcr.io/nvidia/cuda:11.0-devel-ubuntu18.04 | |
# GNU compiler | |
RUN apt-get update -y && \ | |
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \ | |
g++ \ | |
gcc \ | |
gfortran && \ | |
rm -rf /var/lib/apt/lists/* |
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#!/usr/bin/env python | |
import numpy as np | |
np.random.seed(124897) | |
# number of people to start with | |
num_start = 56000 | |
# number of times to repeat experiment | |
num_trials = 1000 | |
# some arrays to store individual trial results | |
rounds_counter = np.zeros(num_trials) |
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class Blinders(object): | |
def __init__(self, medusa, peripherals=['Std.Err.', 't', 'P>|t|']): | |
'''Helper to only view `peripherals` of `medusa`''' | |
# the coefficient we want to blind | |
self.medusa = medusa | |
# the stats we don't want to blind | |
self.peripherals = peripherals | |
def blind_summary(self, model): | |
'''Filters the result of `model.summary2()`''' |
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