stavinsky

from sklearn.base import TransformerMixin


class TransformWrapper(TransformerMixin):
    """simple wrapper for instruments like LabelEncoder.
    It is usefull if we want to encode many features at one time. 
    They have a little bit different interface compairing to OneHotEncoder for example"""

    def __init__(self, enc):
        self.enc = enc

stavinsky

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

stavinsky

This is a test for my lcd display.

PINS DB7:0 connected to A7:0

Other pins connected as described in lcd.h

stavinsky

/*
 * rtc.c
 *
 *  Created on: 11 июн. 2017 г.
 *      Author: stavinsky
 */

#include "rtc.h"

stavinsky

add got_chars((char *)Buf, Len); to int8_t CDC_Receive_FS (uint8_t Buf, uint32_t *Len)

and add usb_out(); to main loop

stavinsky

import re
class NGram():
    pattern = re.compile('[^а-яА-Я ]+')
    _ngrams = dict()
    _it = 0
    
    def __init__(self):
        self.words = dict()
        self._it = 0

stavinsky

import argparse
import struct
from pyftdi.ftdi import Ftdi
from math import log2
from pyftdi.spi import SpiController


def calculate_adf4351_registers(
    f_out,
    f_ref,