Why do I get long delays when using LDTP (Cobra/PyATOM) - python

I trying to write GUI tests using the Linux Desktop Testing Project (ldtp). It seems to work, except that I get long delays at unpredictable times.
For example, when I try:
import os
from ldtp import *
from ldtputils import *
from time import sleep
launchapp('gedit')
waittillguiexist('*-gedit')
ldtp.selectmenuitem ('*-gedit', 'mnuFile;mnuQuit')
It takes more than 30 sec to execute the line "ldtp.selectmenuitem ('*-gedit', 'mnuFile;mnuQuit')"

I feel more time is taken during following lines.
from ldtp import *
from ldtputils import *
There are two ways to improve the performance;
1st : Don't use from ldtp import * instead use import import ldtp. You need to use ldtp.<> everytime.
2nd: If you are using only one function (say selectmenuitem) then use from ldtp import selectmenuitem at the top.

Related

Performance impact in having a single import per line

does anybody know if there is a performance difference between having all imports from one module in a single line vs one per line.
For example, having:
from a import A, B, C, D, E, F, G
instead of:
from a import A
from a import B
from a import C
from a import D
from a import E
from a import F
from a import G
I'm trying to convince my team to use reorder-python-imports in our pre-commit hooks and this doubt is the only obstacle that prevents me from adding it.
Combining imports is technically faster but there should not be a noticeable performance difference in real world usage. Python modules execute only once, on their first time being imported. After being initialized, you only incur the negligible cost of the additional import statements themselves.
As long as you only do top-level imports, your imports will only ever execute during startup anyway. By combining them you might at best manage to shave off a negligible amount of milliseconds during startup. Read the Python docs on the import mechanism.
Here is my machine's performance after a million repetitions each:
test1.py
from timeit import timeit
print(timeit("""
from socket import socket
from socket import create_connection
from socket import has_dualstack_ipv6
from socket import getaddrinfo
from socket import gethostbyaddr
"""))
# Prints 2.8450163
test2.py
from timeit import timeit
print(timeit("""
from socket import socket, create_connection, has_dualstack_ipv6, getaddrinfo, gethostbyaddr
"""))
# Prints 0.6992155

How can i run import statements from a seperate .py file?

So I routinely call the same 15-20 import statements prior to running multiple, but different .py scripts. This can sort of look clunky and I was wondering if I could, for the sake of condensing, store all of these import statements in a separate .py file, then call those import statements using a 1 - liner at the beginning of these .py scripts.
e.g.:
import a
import b
import c
import d
import e
import f
(and so on so forth)
into:
import import_list import imports
I've tried search around but I'm not sure I'm using the correct language to get my answer. I'm sure this has been asked quite a few times though. can anybody help? thanks!
If your import list is constant, you could do something like creating a separate python file like
import_list.py
import a
import b
import c
import d
import e
import f
Then add 1 liner to your files:
from import_list import *

__init__.py file selective import

In order to simplify my imports, I added the following code to my __init__.py:
from varro.algo.models.model import *
from varro.algo.models.fpga import *
from varro.algo.models.nn import *
so that I can do from varro.algo.models import ModelNN
If I want to import a different kind of model that doesn't require Tensorflow (as ModelNN does), I don't want to import it, as it takes a long time to load and may not be installed on all systems I'm working on.
However, importing from varro.algo.models import ModelFPGA loads Tensorflow, even though I never import ModelNN.
Is there a way I can simplify the imports without having to import ModelNN every time? (I figured I could just put the import statement for Tensorflow in the class itself, but I want a more robust solution.)

Writing a Python module to import other modules

I want to write a Python module that automatically imports all the good stuff for me (about 50 other modules) so I don't have to copy and past them every time I start a new script. I attempted this by defining the following method in my module, soon to realize when I import my module and call this method, the imports take place locally.
def auto_import():
import os
import sys
# plus 50 other modules...
How can I accomplish this automation using modular programming? (I am using Python 3.6. on Ubuntu.)
You don't need a function to do that, you can simply make a file like commonimports.py which looks like this:
import os
import numpy as np
import sys
#and so on...
And add this import statement in other files
from commonimports import *
And you'll have all the modules ready to use within that namespace
Just make the name of your imported modules global:
def auto_import():
import os
import sys
global os, sys
This is not necessary to use this method if you def auto_import() then every time you have to use a autoimport function whenever you want to use those module.

Python Module Import: Single-line vs Multi-line

When importing modules in Python, what is the difference between this:
from module import a, b, c, d
and this
from module import a
from module import b
from module import c
from module import d
To me it makes sense always to condense code and use the first example, but I've been seeing some code samples out there dong the second. Is there any difference at all or is it all in the preference of the programmer?
There is no difference at all. They both function exactly the same.
However, from a stylistic perspective, one might be more preferable than the other. And on that note, the PEP-8 for imports says that you should compress from module import name1, name2 onto a single line and leave import module1 on multiple lines:
Yes: import os
import sys
No: import sys, os
Ok: from subprocess import Popen, PIPE
In response to #teewuane's comment (repeated here in case the comment gets deleted):
#inspectorG4dget What if you have to import several functions from one
module and it ends up making that line longer than 80 char? I know
that the 80 char thing is "when it makes the code more readable" but I
am still wondering if there is a more tidy way to do this. And I don't
want to do from foo import * even though I am basically importing
everything.
The issue here is that doing something like the following could exceed the 80 char limit:
from module import func1, func2, func3, func4, func5
To this, I have two responses (I don't see PEP8 being overly clear about this):
Break it up into two imports:
from module import func1, func2, func3
from module import func4, func5
Doing this has the disadvantage that if module is removed from the codebase or otherwise refactored, then both import lines will need to be deleted. This could prove to be painful
Split the line:
To mitigate the above concern, it may be wiser to do
from module import func1, func2, func3, \
func4, func5
This would result in an error if the second line is not deleted along with the first, while still maintaining the singular import statement
To add to some of the questions raised from inspectorG4dget's answer, you can also use tuples to do multi-line imports when folder structures start getting deeply nested or you have modules with obtuse names.
from some.module.submodule.that_has_long_names import (
first_item,
second_item,
more_imported_items_with_really_enormously_long_names_that_might_be_too_descriptive,
that_would_certainly_not_fit,
on_one_line,
)
This also works, though I'm not a fan of this style:
from module import (a_ton, of, modules, that_seem, to_keep, needing,
to_be, added, to_the_list, of_required_items)
I would suggest not to follow PEP-8 blindly. When you have about half screen worth of imports, things start becoming uncomfortable and PEP-8 is then in conflicts with PEP-20 readability guidelines.
My preference is,
Put all built-in imports on one line such as sys, os, time etc.
For other imports, use one line per package (not module)
Above gives you good balance because the reader can still quickly glance the dependencies while achieving reasonable compactness.
For example,
My Preference
# one line per package
import os, json, time, sys, math
import numpy as np
import torch, torch.nn as nn, torch.autograd, torch.nn.functional as F
from torchvision models, transforms
PEP-8 Recommandation
# one line per module or from ... import statement
import os
import json
import time
import sys
import math
import numpy as np
import torch
from torch import nn as nn, autograd, nn.functional as F
from torchvision import models, transforms
A concern not mentioned by other answers is git merge conflicts.
Let's say you start with this import statement:
import os
If you change this line to import os, sys in one branch and import json, os in another branch, you will get this conflict when you attempt to merge them:
<<<<<<< HEAD
import os, sys
=======
import json, os
>>>>>>> branch
But if you add import sys and import json on separate lines, you get a nice merge commit with no conflicts:
--- a/foo.py
+++ b/foo.py
### -1,2 -1,2 +1,3 ###
+ import json
import os
+import sys
You will still get a conflict if the two imports were added at the same location, as git doesn't know which order they should appear in. So if you had imported time instead of json, for example:
import os
<<<<<<< HEAD
import sys
=======
import time
>>>>>>> branch
Still, it can be worth sticking with this style for the occasions where it does avoid merge conflicts.
Imports should usually be on separate lines as per PEP 8 guidelines.
# Wrong Use
import os, sys
# Correct Use
import os
import sys
For more import based PEP 8 violations and fixes please check this out https://ayush-raj-blogs.hashnode.dev/making-clean-pr-for-open-source-contributors-pep-8-style.
Both are same.
Use from module import a, b, c, d.
If you want to import only one part of a module, use:
from module import a
If u want to import multiple codes from same module, use:
from module import a,b,c,d
No need to write all in separate lines when both are same.

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