integer

问题 Good day everyone, I'm having a problem passing a numericupdown value into an interger. private void button5_Click(object sender, EventArgs e) { int count = numericUpDown1.Value; updateCount(count); } So, what I want to do it so pass the value of the numericupdown value into integer named count and then pass the value into a method that updates a table in my database. I just started c# lately and cant seem to understand some some documentation. Thank you guys! 回答1: NumericUpDown.Value returns

问题 does the following integer arithmetic property hold? (m/n)/l == m/(n*l) At first I thought I knew answer (does not hold), but now am not sure. Does it hold for all numbers or only for certain conditions, i.e. n > l ? the question pertains to computer arithmetic, namely q = n/m, q*m != n , ignoring overflow. 回答1: Case1 assume m = kn+b (b<n), left = (m/n)/l = ((kn+b)/n)/l = (k+b/n)/l = k/l (b/n=0, because b<n) right = (kn+b)/(n*l) = k/l + b/(n*l) = k/l (b/(n*l)=0, because b<n) => left = right

问题 I was wondering what the best way is to batch a given set of numbers in terms of a processing time. Take items: 9, 18, 7, 8, 4, 9, 11, 15, 3, 8, (item 1 has a processing time of 9, item 2 has a processing time of 18, etc.) If the batch processing time limit is set to say 20, then a possible grouping of the items into batches would be: {1, 3, 5} {2} {4, 6} {8, 9} {7, 10} (group 1 is 9+7+4=20) etc so 5 batches of items have been made where the contents are <= 20. Ideally i want it to sort them

问题 I can get integer permutations like this: myInt = 123456789 l = itertools.permutations(str(myInt)) [int(''.join(x)) for x in l] Is there a more efficient way to get integer permutations in Python, skipping the overhead of creating a string, then joining the generated tuples? Timing it, the tuple-joining process makes this 3x longer than list(l) . added supporting information myInt =123456789 def v1(i): #timeit gives 258ms l = itertools.permutations(str(i)) return [int(''.join(x)) for x in l]

问题 Is there any standard way to use integers of arbitrary length in Perl? I am working on code that generates x64 assembly for tests, and I'm tired of manipulating 32 bits at a time. I'm using Perl 5.10.0, for what it's worth. 回答1: If you only want to use big integers, you can use the bigint , which you can scope to a file: use bigint; or just a limited scope: { use bigint; ...; } If you need big floating point numbers as well as big integers, you can use the bignum pragma in the same way.

问题 I have to integrate my web application with a payment gateway. I want to input total amount in USD and then convert it into Cents as my payment gateway library accepts amount in Cents (of type Integer ). I found that Big Decimal in java is best way for manipulation of currency. Currently I take input as say USD 50 and convert it to Integer like this: BigDecimal rounded = amount.setScale(2, BigDecimal.ROUND_CEILING); BigDecimal bigDecimalInCents = rounded.multiply(new BigDecimal("100.00"));

问题 I was digging into how the Integer class actually uses cached objects, and I found the below code in the Integer.valueOf method: public static Integer valueOf(int i) { assert IntegerCache.high >= 127; if (i >= IntegerCache.low && i <= IntegerCache.high) return IntegerCache.cache[i + (-IntegerCache.low)]; return new Integer(i); } My question is: what is the use of assert IntegerCache.high >= 127; I read that assert provides an effective way to detect and correct programming errors. But this is

问题 first off I should ask: Does anyone knows of a current implementation 128b UINT for Java? I need something to hold natural cardinal values. ie: A huge counter. I know of BigIntegers, which are slow and immutable. A 128b UINT makes sense ... I was thinking about implementing an OWORD, using a pair of primitive longs. Overflows would throw an Exception and not Wraparound. What example sourcecode/blogs should I look to for implementing the workings of this class? 回答1: I would use 32 bit integers

问题 I have a csv that looks like (headers = first row): name,a,a1,b,b1 arnold,300311,arnld01,300311,arnld01 sam,300713,sam01,300713,sam01 When I run: df = pd.read_csv('file.csv') Columns a and b have a .0 attached to the end like so: df.head() name,a,a1,b,b1 arnold,300311.0,arnld01,300311.0,arnld01 sam,300713.0,sam01,300713.0,sam01 Columns a and b are integers or blanks so why does pd.read_csv() treat them like floats and how do I ensure they are integers on the read? 回答1: As root mentioned in

问题 I have currently created a C++ class for a thread safe integer which simply stores an integer privately and has public get a set functions which use a boost::mutex to ensure that only one change at a time can be applied to the integer. Is this the most efficient way to do it, I have been informed that mutexes are quite resource intensive? The class is used a lot, very rapidly so it could well be a bottleneck... Googleing C++ Thread Safe Integer returns unclear views and oppinions on the