indexed | Emulation of old 8-bit indexed color mode in webgl | Graphics library

I am solving this problem on dynamic array in which input first line contains two space-separated integers,n, the size of arr to create, and q, the number of queries, respectively. Each of the q subsequent lines contains a query string,queries[i]. it expects to return int[]: the results of each type 2 query in the order they are presented.

i tried to attempt as below and my code seems fine to me but it gives segmentation fault error. please help me where I am getting conceptually wrong. thanks.

problem: Declare a 2-dimensional array,arr , of n empty arrays. All arrays are zero indexed. Declare an integer,last answer , and initialize it to zero.

There are 2 types of queries, given as an array of strings for you to parse:

Query: 1 x y

Let idx=((queries[i][1]^last_answer)%n);. Append the integer y to arr[idx].

Query: 2 x y

Let idx=((queries[i][1]^last_answer)%n);. Assign last_answer=arr[idx][queries[i][2]%(arr[idx].size())] . Store the new value of last_answer to an answers array.

input: 2 5

1 0 5

1 1 7

1 0 3

2 1 0

2 1 1

output:

7

3

I have a dataframe that contains two columns with dates astype Timestamps. I would like to plot a figure where the time between those dates is 1 and the time outside those dates is 0: kinda like an 'active on/off' binary situation. I have discretised and indexed the whole day in intervals of 1 minute. After that, I am checking if the index is between time1 and time2, if it is then I am putting 1 to a new column else 0. This works but I think it's an overkill

I want to create a Google script to check if a given URL is indexed by Google, so I write the following function:

Hello all!

I recently learned that in newer versions of SQL Server, the query optimizer can "expand" a SQL view and utilize inline performance benefits. This could have some drastic effects going forward on what kinds of database objects I create and why and when I create them, depending upon when this enhanced performance is achieved and when it is not.

For instance, I would not bother creating a parameterized inline table-valued function with a start date parameter and an end date parameter for an extremely large transaction table (where performance matters greatly) when I can just make a view and slap a WHERE statement at the bottom of the calling query, something like

I write a simple contract to test the event like the following code:

I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?

I did the following, but it is not working. The 'slope' column is created, but all of the values as NaN.

The associative array indexed by VARCHAR2(32000) store only 9 elements in this code below. while if i used an associative array indexed by pls_integer, I can store more than 9 elements (in my case 15 elements) in the data structure.

So why an associative array which use VARCHAR2 index dosen't accept more than 9 elements in my example.

code:

I'm facing a strange error when I try to execute a find near with pageable in Mongodb and spring boot. My collection have 5 stores. When I call the method with the params: Page 0 and Page Size of 5 or below it works. But when I call it with a PageSize equals or greather than the total of stores I get this error. I noticed that the error occurs when the spring data mongo calls the method doCount internally but I have no idea what is wrong.

Below is my code and the error:

----- Models ----

I have a very large pd.Dataframe contains millions of records where PID and Ses_ID are both index columns, and Var_3 indicates the occurrence of some event.

I want to remove/filter out sessions following and including the first occurrence of Var_3==1 from each person's (indexed by PID) records. Thus the provided example would result as:

I could iteratively add relevant sessions and corresponding PID to a new dataframe but that would be extremely time-consuming given the size of the current dataframe. What would be an efficient way of achieving this? Many thanks!

Updated situation: I have found many rows have the same Ses_ID. How do I remove sessions following (and including) the first occurrence of a particular column value? So for the example below, both rows for Ses_ID==005 would be removed because the event of Var_3==1 occurred in this session.

should be transformed to: