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I don't see why slowdown makes the results useless. Surely memory that is leaked is leaked regardless of the speed at which the program runs. The point of these tools is to find leaks, so where's the problem? Did it run so slowly that you couldn't physically get it to cover all code paths in order to profile them?

underscore_d
– underscore_d

2017-01-17 01:08:07 +00:00
Commented Jan 17, 2017 at 1:08

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Correct minor typos or mistakes
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Always respect the author’s intent
Don’t use edits to reply to the author

create code fences with backticks ` or tildes ~
```
like so
```
add language identifier to highlight code
```python
def function(foo):
print(foo)
```
put returns between paragraphs
for linebreak add 2 spaces at end
_italic_ or **bold**
indent code by 4 spaces
backtick escapes `like _so_`
quote by placing > at start of line
to make links (use https whenever possible)

<https://example.com>

[example](https://example.com)

<a href="https://example.com">example</a>

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