# create an object

# First, importing the basic library

import torch

import pandas

import numpy

import matplotlib

import pathlib

import PIL

import datetime

import sys

import psutil

# create class/object

class PacktDataAug(object):

#

# initialize the object

def __init__(self, name="Pluto", is_verbose=True,*args, **kwargs):

super(PacktDataAug, self).__init__(*args, **kwargs)

self.author = "Duc Haba"

self.version = 1.0

self.name = name

if (is_verbose):

self._ph()

self._pp("Hello from class", f"{self.__class__} Class: {self.__class__.__name__}")

self._pp("Code name", self.name)

self._pp("Author is", self.author)

self._ph()

#

return

#

# pretty print output name-value line

def _pp(self, a, b):

print("%28s : %s" % (str(a), str(b)))

return

#

# pretty print the header or footer lines

def _ph(self):

print("-" * 28, ":", "-" * 28)

return

# ---end of class

#

# Hack it! Add new decorator

# add_method() is inspired Michael Garod's blog,

# AND correction by: Филя Усков

#

import functools

def add_method(x):

def dec(z):

@functools.wraps(z)

def y(*args, **kwargs):

return z(*args, **kwargs)

setattr(x, z.__name__, y)

return z

return dec

#

pluto = PacktDataAug("Pluto")

@add_method(PacktDataAug)

def say_sys_info(self):

self._ph()

now = datetime.datetime.now()

self._pp("System time", now.strftime("%Y/%m/%d %H:%M"))

self._pp("Platform", sys.platform)

self._pp("Pluto Version (Chapter)", self.version)

v = sys.version.replace('\n', '')

self._pp("Python (3.7.10)", f'actual: {v}')

self._pp("PyTorch (1.11.0)", f'actual: {torch.__version__}')

self._pp("Pandas (1.3.5)", f'actual: {pandas.__version__}')

self._pp("PIL (9.0.0)", f'actual: {PIL.__version__}')

self._pp("Matplotlib (3.2.2)", f'actual: {matplotlib.__version__}')

#

try:

val = psutil.cpu_count()

self._pp("CPU count", val)

val = psutil.cpu_freq()

if (None != val):

val = val._asdict()

self._pp("CPU speed", f'{val["current"]/1000:.2f} GHz')

self._pp("CPU max speed", f'{val["max"]/1000:.2f} GHz')

else:

self._pp("*CPU speed", "NOT available")

except:

pass

self._ph()

return