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useful python things

Project description

useful python things


add class

class _type_sign(Enum):
SIGN=1
UNSIGN=2

env

from pyeco import *
from pyeco import _type_sign



function: dec2hex(_dec,_nbits)

_dec -> input decimal:
8 bits[-128,127],
16 bits[-32768,32767],
32 bits[-2147483648,2147483647]
_nbits -> _dec's number bits: 8,16,32
output -> dec to hex format

example:
print(dec2hex(-127,8))


function: hex2dec(_hex,_nbits,_s)
_hex -> input hex:
_nbits -> _dec's number bits: 8,16,32
_s -> _type_sign.UNSIGN/_type_sign.SIGN output decimal
output -> hex to decimal format

example:
print(hex2dec(0x81010181,32,_type_sign.UNSIGN))


function: dec2bin(_dec,_nbits)
_dec -> input decimal
_nbits -> _dec's number bits: 8,16,32
output -> dec to binary format

example:
print(dec2bin(-128,16))


function: bin2dec(_bin,_nbits,_s)
_bin -> input binary:
_nbits -> _dec's number bits: 8,16,32
_s -> _type_sign.UNSIGN/_type_sign.SIGN output decimal
output -> bin to decimal format

example:
print(bin2dec("11111111111111111111111110000000",32,_type_sign.UNSIGN))


function: hex2bin(_hex,_nbits)
_hex -> input hex:
_nbits -> _dec's number bits: 8,16,32
output -> hex to binary format

example:
print(hex2bin(0x81010181,32))

function: bin2hex(_bin,_nbits)
_bin -> input hex:
_nbits -> _dec's number bits: 8,16,32
output -> binary to hex format

example:
print(bin2hex("1100000000000011",16))

env

from pyeco import *
from pyeco import _adr_size

bindiff(_file1,_file2,_nbits,_size,_flag,_base_adr)
_file1 - first file,
_file2 - second file,
_nbits - word's number bits: 8,16,32,
_size - how much words to compare
_flag - screen adress by _nbits words or bytes
_base_adr - base adress, need for real dats location
output -> binary difference between _file1 and _file2

example:
bindiff("e:/spil.bin","e:/u-boot.bin",32,int(0xce0/4),_adr_size.BYTE,0xe6300000)
env

from pyeco import *

function: max_array(in_array)
in_array - входной массив
output -> вычисляет MAX значение числа из массива in_array и выводит на консоль

example:
import numpy as np

in_array = np.array([-176,3,148,-10,36,238,-76])

max_array(in_array)

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0.5

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