AntoineToubhans

AntoineToubhans

def _log(message):
    print('[BetterTimeTracker] {function_name} {total_time:.3f} {partial_time:.3f}'.format(**message))

@better_time_tracker(_log)
def load():
    df = pd.read_csv('/home/toubi/Works/sicara/h3/HyperCube/App/Demo/Demo/Titanic.csv', delimiter=';')
    
    return df

@better_time_tracker(_log)

AntoineToubhans

import time
from functools import wraps

_total_time_call_stack = [0]
    
def better_time_tracker(log_fun):
    def _better_time_tracker(fn):
        @wraps(fn)
        def wrapped_fn(*args, **kwargs):
            global _total_time_call_stack

AntoineToubhans

def _log(message):
    print('[SimpleTimeTracker] {function_name} {total_time:.3f}'.format(**message))

@simple_time_tracker(_log)
def load():
    df = pd.read_csv('/home/toubi/Works/sicara/h3/HyperCube/App/Demo/Demo/Titanic.csv', delimiter=';')
    
    return df

@simple_time_tracker(_log)

AntoineToubhans

from time import time
from functools import wraps

def simple_time_tracker(log_fun):
    def _simple_time_tracker(fn):
        @wraps(fn)
        def wrapped_fn(*args, **kwargs):
            start_time = time()

            try:

AntoineToubhans

         8347 function calls (8300 primitive calls) in 0.012 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        6    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:402(parent)
       55    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:989(_handle_fromlist)
        1    0.000    0.000    0.005    0.005 <ipython-input-119-9a494182bfd0>:11(normalize_ticket_price_per_class)
     1309    0.000    0.000    0.000    0.000 <ipython-input-119-9a494182bfd0>:13(<lambda>)
        1    0.000    0.000    0.011    0.011 <ipython-input-119-9a494182bfd0>:15(run)

AntoineToubhans

4145 function calls (4134 primitive calls) in 0.008 seconds

   Ordered by: standard name

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        6    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:402(parent)
       51    0.000    0.000    0.000    0.000 <frozen importlib._bootstrap>:989(_handle_fromlist)
        1    0.000    0.000    0.007    0.007 <ipython-input-1-0a0672299ac8>:11(run)
        1    0.000    0.000    0.006    0.006 <ipython-input-1-0a0672299ac8>:3(load)
        1    0.000    0.000    0.001    0.001 <ipython-input-1-0a0672299ac8>:8(normalize_ticket_price_per_class)

AntoineToubhans

import cProfile    
cProfile.run('run()')

AntoineToubhans

import pandas as pd

def load():
    df = pd.read_csv('/home/toubi/Titanic.csv', delimiter=';')
    
    return df

def compute_max_ticket_price_per_class(df):
    return { cl: df[cl == df.Class]['Ticket price'].max() for cl in range(1, 4) }

AntoineToubhans

applications:
- buildpack: staticfile_buildpack
  disk_quota: 128M
  memory: 128M
  name: MyAwesomeAppFrontEnd
  path: webapp
  routes:
  - route: my-awesome-app.io