mwyborski

import numpy as np

max_rnd_value = 100000
num_samples   = 100000

# do benford or uniform distribution
do_benford = True

if do_benford:
    num_factors = int(np.floor(np.log10(max_rnd_value)))

TakaoNarikawa

#! /usr/bin/env python
"""
Reads Darknet config and weights and creates Keras model with TF backend.

"""

import argparse
import configparser
import io
import os

tomtor

/*
  Blink ULP Hartbeat and read DHT22 in ULP code

  Tom Vijlbrief oct 2017
*/

#include <time.h>
#include <sys/time.h>

#include "driver/rtc_io.h"

ngryman

void usleep(DWORD waitTime){
	LARGE_INTEGER perfCnt, start, now;

	QueryPerformanceFrequency(&perfCnt);
	QueryPerformanceCounter(&start);

	do {
		QueryPerformanceCounter((LARGE_INTEGER*) &now);
	} while ((now.QuadPart - start.QuadPart) / float(perfCnt.QuadPart) * 1000 * 1000 < waitTime);
}