... Messing with #line is very useful for pre-processors that want to keep errors reported in the user's C code in line with the user's source file. Yacc, Lex, and (more at home to me) ESQL/C preprocessors do that. share ...

... @David: thanks, I got the misimpression from the Comeau message error: function returning array is not allowed which occurs if you leave out the outer parens in the non-typedef syntax. Fortunately, today I reviewed the right-left rule for another question and managed to construct the righ...

...ivity are same before assigning activeActivity with null in order to avoid errors due to intermingled calling order of lifecycle methods of various activities. – Rahul Tiwari

... of the Array puzzle to know. While they do bounds checking (will throw an error), bounds checking can also be disabled on arrays. Again, the biggest hindrance to arrays is that they are not re-sizable. They have a "fixed" capacity. Introducing ArrayList and List(Of T) to our history: ArrayList - no...

...om vi to emacs for four reasons: (a) one click to get to the next compiler error, (b) gdb integration, (c) grep and find-grep. Is it possible to do these things in vim now? – zzz777 May 26 '17 at 17:57 ...

...rs start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren’t powerful enough to provide accurate models. 如果是小训练集，高偏差/低方差的分类器（比如朴素贝叶斯）要比低偏差/高方差的分类器（比如k...

...rs start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren’t powerful enough to provide accurate models. 如果是小训练集，高偏差/低方差的分类器（比如朴素贝叶斯）要比低偏差/高方差的分类器（比如k...

...rs start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren’t powerful enough to provide accurate models. 如果是小训练集，高偏差/低方差的分类器（比如朴素贝叶斯）要比低偏差/高方差的分类器（比如k...

...rs start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren’t powerful enough to provide accurate models. 如果是小训练集，高偏差/低方差的分类器（比如朴素贝叶斯）要比低偏差/高方差的分类器（比如k...

...rs start to win out as your training set grows (they have lower asymptotic error), since high bias classifiers aren’t powerful enough to provide accurate models. 如果是小训练集，高偏差/低方差的分类器（比如朴素贝叶斯）要比低偏差/高方差的分类器（比如k...