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### 6. Set random seed 
def reset_random_seeds(CUR_SEED=1234):
   os.environ['PYTHONHASHSEED']=str(CUR_SEED)
   tensorflow.random.set_seed(CUR_SEED)
   numpy.random.seed(CUR_SEED)
   random.seed(CUR_SEED)
   torch.manual_seed(CUR_SEED)
   torch.cuda.manual_seed(CUR_SEED)
   torch.cuda.manual_seed_all(CUR_SEED)
   torch.backends.cudnn.deterministic = True

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### numpy 
numpy.set_printoption(threshold=sys.maxsize, suppress=True)

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import pandas as pd
pd.options.display.max_columns = None
pd.options.display.max_rows = 999

## set max column width for strings
pd.options.display.max_colwidth = 20

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@timerWrapper
def getMultiplication(num):
    for val in range(num):
        print(10**(10**val))

getMultiplication(3)        
        

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### 4. Code timer as a decorator 
import time
import requests

def timerWrapper(func):
    """Code the timer"""

    def timer(*args, **kwargs):
        """Start timer"""
        start = time.perf_counter()

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### Nested list comprehension
[element for sublist in myLists for element in sublist]

## return: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

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### 3. Nested list comprehension
myLists =  [[0, 1, 2, 3], [4, 5, 6], [7, 8, 9], [10], [11, 12]]

Expected Output: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

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### 2. Operating system commands with os
import os
os.startfile('myFullFileName.ANYFORMAT')

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### 1. Dynamic execution
codeString = '''a,b = 4,5; print(f"a = {a} and b = {b}"); print(f"a+b = {a+b}")'''
output = exec(codeString)
## print the output
print(f'** Is the return from exec() is None? {output == None} **')

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exec(open("myFullFileName.py").read())