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Why do I need an IoC container as opposed to straightforward DI code? [closed]
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I think you have your facts mixed up a bit Joel. IoC and containers came first, then came the treatise by Martin, not vice-versa.
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Git for beginners: The definitive practical guide
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git tag [tag name] [revision SHA1 hash]
For example:
git tag 1.1.1 81b15a68c6c3e71f72e766931df4e6499990385b
Note: by default, git creates a "lightweight" tag (basically a reference to a specific revision). The "right" way is to use the -a flag. This will launch your editor asking for a t...
How are virtual functions and vtable implemented?
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Lou FrancoLou Franco
81.9k1414 gold badges126126 silver badges181181 bronze badges
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Nearest neighbors in high-dimensional data?
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81
+50
I. The D...
Is either GET or POST more secure than the other?
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(note: I c...
Floating point vs integer calculations on modern hardware
...short mul/div: 3.926543 [0]
long add/sub: 0.000000 [0]
long mul/div: 7.378581 [0]
long long add/sub: 0.000000 [0]
long long mul/div: 7.378593 [0]
float add/sub: 0.993583 [0]
float mul/div: 1.821565 [0]
double add/sub: 0.993884 [0]
double mul/div: 1.988664 [0]
32-bit Dual Core AMD Opteron(tm) Proce...
How to make a great R reproducible example
..., "S", "T", "U","V", "W", "X", "Y"), class = "factor"),
X1 = c(809L, 81L, 862L,747L, 224L, 721L, 310L, 53L, 853L, 642L),
X2 = c(926L, 409L,825L, 702L, 803L, 63L, 319L, 941L, 598L, 830L),
X16 = c(447L,164L, 8L, 775L, 471L, 196L, 30L, 420L, 47L, 327L),
X22 = c(335L,164L, 503L, ...
Programmatically Lighten or Darken a hex color (or rgb, and blend colors)
... you get 8.8 which rounds to 9. Then take 9.09% away from 9 and you get 8.1819. Which rounds to 8 so that's a bad example. But it still illustrates that you are taking 9.09% of 9 and not 8.8. So there might be some numbers in there that don't round back out exactly the same as my example here.
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Is there a unique Android device ID?
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Anthony ForloneyAnthony Forloney
81k1313 gold badges111111 silver badges112112 bronze badges
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LINGO使用指南 - 更多技术 - 清泛网 - 专注C/C++及内核技术
... .1e-5
全局最优求解程序的最优性误差限
81
GLBDLT
.1e-6
全局最优求解程序在凸化过程中增加的约束的误差限
82
GLBVBD
.1e+11
全局最优求解程序中变量的上界
83
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