boolean-operations

Use Boolean algebra in tsql to avoid CASE statement or deal complex WHERE conditions

余生颓废 提交于 2019-12-06 08:42:30
问题 I came across a scenario,I will explain it with some dummy data. See the table Below Select * from LUEmployee empId name joiningDate 1049 Jithin 3/9/2009 1017 Surya 1/2/2008 1089 Bineesh 8/24/2009 1090 Bless 7/15/2009 1014 Dennis 1/5/2008 1086 Sus 9/10/2009 I need to increment the year column by 1, only If the months are Jan, Mar, July Or Dec. empId name joiningDate derived Year 1049 Jithin 3/9/2009 2010 1017 Surya 1/2/2008 2009 1089 Bineesh 8/24/2009 2009 1090 Bless 7/15/2009 2010 1014

Why is 1 && 2 in C# false?

最后都变了- 提交于 2019-12-05 01:25:50
I got frustated with my other question . So i wrote up this example. In C the below is true. See demo int main() { printf("%d", 1 && 2); return 0; } Output: 1 In C#. It is FALSE. WHY is this false? Also i dont understand why i needed to create the bool operator in this example but not the one in my other question but no matter. Why is the below false? it makes no sense to me. BTW the logic making the below false is described here using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace ConsoleApplication1 { class Program { static void Main(string[] args)

algorithm to find subset of large int array which matches boolean query

廉价感情. 提交于 2019-12-04 16:35:55
问题 Say I have a large array of M 32 bit ints in which each value has no more than N bits set. Now I want to return the subset which matches the query Target AND Value == Target, i.e. values in which the targets bits appear set in the array's values. Brute force is easy, simply iterator the array and extract where target&value == target. This becomes way too slow if M gets very large. Anyone have an idea of how to convert the array into a data structure that is more optimal to search? One way is

Use Boolean algebra in tsql to avoid CASE statement or deal complex WHERE conditions

♀尐吖头ヾ 提交于 2019-12-04 12:35:45
I came across a scenario,I will explain it with some dummy data. See the table Below Select * from LUEmployee empId name joiningDate 1049 Jithin 3/9/2009 1017 Surya 1/2/2008 1089 Bineesh 8/24/2009 1090 Bless 7/15/2009 1014 Dennis 1/5/2008 1086 Sus 9/10/2009 I need to increment the year column by 1, only If the months are Jan, Mar, July Or Dec. empId name joiningDate derived Year 1049 Jithin 3/9/2009 2010 1017 Surya 1/2/2008 2009 1089 Bineesh 8/24/2009 2009 1090 Bless 7/15/2009 2010 1014 Dennis 1/5/2008 2009 1086 Sus 9/10/2009 2009 derived Year is the required column We were able to achieve

How can i get count of number of rows that have boolean value true(or 1) in Room persistent database without using SELECT query?

只愿长相守 提交于 2019-12-03 11:20:22
I am working with Room persistent database in my project. I have a table in which there is a column for Boolean values as in 0 or 1, now i want the count of all Boolean values whose value is true (or 1). I know that i can achieve this using select query by getting the count of all selected rows using where clause! But i don't want to use Select query with where clause for this because it will load all the rows and then i will get the count, but i want the count without loading any rows! Suggest other simple solutions please! Thank you! Finally I got the perfect solution! Just add this method

OR, AND Operator

≯℡__Kan透↙ 提交于 2019-12-03 11:08:09
Newbie question. How to calculate the value of the formula A f B, where f - the binary function OR or AND? Martin Randall There is a distinction between the conditional operators && and || and the boolean operators & and |. Mainly it is a difference of precendence (which operators get evaluated first) and also the && and || are 'escaping'. This means that is a sequence such as... cond1 && cond2 && cond3 If cond1 is false, neither cond2 or cond3 are evaluated as the code rightly assumes that no matter what their value, the expression cannot be true. Likewise... cond1 || cond2 || cond3 If cond1

algorithm to find subset of large int array which matches boolean query

▼魔方 西西 提交于 2019-12-03 10:41:26
Say I have a large array of M 32 bit ints in which each value has no more than N bits set. Now I want to return the subset which matches the query Target AND Value == Target, i.e. values in which the targets bits appear set in the array's values. Brute force is easy, simply iterator the array and extract where target&value == target. This becomes way too slow if M gets very large. Anyone have an idea of how to convert the array into a data structure that is more optimal to search? One way is to store arrays or value for each bit (thus for 32 bit array you need 32 of these) and then only search

How to perform element wise boolean operations on numpy arrays [duplicate]

淺唱寂寞╮ 提交于 2019-12-03 06:28:34
问题 This question already has answers here : Logical operators for boolean indexing in Pandas (3 answers) Closed 10 months ago . For example I would like to create a mask that masks elements with value between 40 and 60: foo = np.asanyarray(range(100)) mask = (foo < 40).__or__(foo > 60) Which just looks ugly, I can't write: (foo < 40) or (foo > 60) because I end up with: ValueError Traceback (most recent call last) ... ----> 1 (foo < 40) or (foo > 60) ValueError: The truth value of an array with

What's the difference between the dual and the complement of a boolean expression?

时间秒杀一切 提交于 2019-12-03 05:01:26
Its the same thing right? Or is there a slight difference? I just wanna make sure I'm not misunderstanding anything. J.C.Morris Boolean duals are generated by simply replacing ANDs with ORs and ORs with ANDs. The complements themselves are unaffected, where as the complement of an expression is the negation of the variables WITH the replacement of ANDs with ORs and vice versa. Consider: A+B Complement: A'B' Dual: AB "The Dual of an identity is also an identity. This is called the Duality Principle". A Boolean Identity is X+0=X or X+X=X. There's lots of them. Duals only work with identities. To

How to perform element wise boolean operations on numpy arrays [duplicate]

谁都会走 提交于 2019-12-02 19:59:01
This question already has an answer here: Logical operators for boolean indexing in Pandas 3 answers For example I would like to create a mask that masks elements with value between 40 and 60: foo = np.asanyarray(range(100)) mask = (foo < 40).__or__(foo > 60) Which just looks ugly, I can't write: (foo < 40) or (foo > 60) because I end up with: ValueError Traceback (most recent call last) ... ----> 1 (foo < 40) or (foo > 60) ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() Is there a canonical way of doing element wise boolean operations on