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Regular Expressions

Basic Syntax

• /.../: Start and end regex delimiters
• |: Alternation
• (): Grouping

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import torch

print(torch.cuda.current_device()) #to check current device id
print(torch.cuda.device_count()) #to check number of devices
print(torch.cuda.get_device_name(0)) #to find device name

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import datetime
import logging
import os
import re

import constants

log_separator = "\n===================================================================================================="

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import pandas as pd
from pandas import DataFrame


# Prints a single line, It's same as println() in other languages, by default print single empty line or "\n"
printline = lambda times=1 : print("\n" * times)


# function that counts NaN values for whole dataframe
__checkAllNaNs = lambda dataframe: dataframe.isnull().sum()

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import re


def test_patterns(text, patterns):
    """Given source text and a list of patterns, look for
    matches for each pattern within the text and print
    them to stdout.
    """
    # Look for each pattern in the text and print the results
    for pattern, desc in patterns:

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# not 6 + 5 **(3//2) - 5 > 5 
# (6 * 3 > 5) and ((6//3) + 5 - 9 * 2 **3 < 56)
# ((6//3) + 5 - 9 * 2 **3 > 56) or 18 * 2 + 9//2 *(4-5) > 56