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private[this] vs private
...rotected over public doesn't apply.
Use private[this] where performance really matters (since you'll get direct field access instead of methods this way). Otherwise, just settle on one style so people don't need to figure out why this property is private and that one is private[this].
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Why aren't python nested functions called closures?
...s in Python, and they match the definition of a closure. So why are they called nested functions instead of closures ?
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View array in Visual Studio debugger? [duplicate]
...ter or go to http://visualstudiogallery.msdn.microsoft.com/2fde2c3c-5b83-4d2a-a71e-5fdd83ce6b96?SRC=Home
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What is a “callable”?
...t's clear what a metaclass is , there is an associated concept that I use all the time without knowing what it really means.
...
Efficiently updating database using SQLAlchemy ORM
...ngs in mind when using the ORM and plain SQL in the same transaction. Basically, from one side, ORM data modifications will only hit the database when you flush the changes from your session. From the other side, SQL data manipulation statements don't affect the objects that are in your session.
So...
tinyxml XML解析库下载(tinyxml2.h 和 tinyxml2.cpp) - 源码下载 - 清泛...
...>
# include <cstdarg>
#endif
/*
TODO: intern strings instead of allocation.
*/
/*
gcc:
g++ -Wall -DDEBUG tinyxml2.cpp xmltest.cpp -o gccxmltest.exe
Formatting, Artistic Style:
AStyle.exe --style=1tbs --indent-switches --break-closing-brackets --indent-preproce...
How do I determine the size of an object in Python?
...turn the size of an object in bytes.
The object can be any type of object.
All built-in objects will return
correct results, but this does not
have to hold true for third-party
extensions as it is implementation
specific.
Only the memory consumption directly attributed to the object is
accounted for...
Is there a typical state machine implementation pattern?
...
Really nice touch how NUM_STATES is defined.
– Albin Stigo
Dec 19 '15 at 19:38
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Iterate over the lines of a string
...())'
10000 loops, best of 3: 61.5 usec per loop
Note we need the list() call to ensure the iterators are traversed, not just built.
IOW, the naive implementation is so much faster it isn't even funny: 6 times faster than my attempt with find calls, which in turn is 4 times faster than a lower-lev...
Split data frame string column into multiple columns
...ry(tidyr)
before <- data.frame(
attr = c(1, 30 ,4 ,6 ),
type = c('foo_and_bar', 'foo_and_bar_2')
)
before %>%
separate(type, c("foo", "bar"), "_and_")
## attr foo bar
## 1 1 foo bar
## 2 30 foo bar_2
## 3 4 foo bar
## 4 6 foo bar_2
...
