n64 | Int64 object for javascript | Wrapper library
kandi X-RAY | n64 Summary
kandi X-RAY | n64 Summary
Optimized int64 object for javascript. There are a few different int64 libraries which currently exist for javascript. Some native, some non-native. Most are lacking test coverage. n64 gives you a native and non-native version which both have full test coverage.
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Top functions reviewed by kandi - BETA
- run main function
- Convert a base
- Implementation of MathN .
- measures multiplication of N
- Modify a number
- divide number
- Add n name .
- Counts the number of bits in a word .
- Calculates the mu - Law
- Perform multiplication of N .
n64 Key Features
n64 Examples and Code Snippets
Community Discussions
Trending Discussions on n64
QUESTION
I am coding a script that is going to test all free proxies available on: https://free-proxy-list.net/
On this site there is a list with all available proxies, and I managed to make my script print them all but, I only want to print the proxy value if https is enabled.
This is how the Html looks when https is enabled:
...ANSWER
Answered 2022-Mar-16 at 15:54You can filter it using xpath //td[@class='hx' and text()='yes']/..
, this xpath will only check for class hx
and text()='yes'
Code:
QUESTION
I want to print code without \n
on the result.
This is my code
ANSWER
Answered 2021-Aug-27 at 13:21I had this same problem and I got an answer here.
It's is because the line you read is always followed by a \n character. You need to remove it. Hence, just replace that last part of your code with this. .strip() will do for you. str(current_location).strip("\n")
Whenever you read a line from a text file, it adds a \n character to tell that new line started from there. You need to remove that while printing or it will mess up with your current statement
QUESTION
I have a data frame like this:
...ANSWER
Answered 2021-Aug-03 at 17:51You could store your vectors in a list:
QUESTION
I have two datasets:
...ANSWER
Answered 2021-Aug-02 at 16:18How's this?
QUESTION
I'm currently trying to analyse the assembly of an old video game from N64. In order to do so, I'm using some N64 debugger to read and understand the underlying MIPS code.
In one of the calls I'm looking at, the prologue is defined as follows:
...ANSWER
Answered 2021-Apr-03 at 23:22One MIPS calling convention has the caller allocate stack memory space for all the parameters despite that the first 4 parameters (at least) are actually passed in registers.
This means that the called function can store $a0
, $a1
, $a2
, $a3
to the stack, expecting that those memory locations are available.
When a function calls another function, then as a caller it should also allocate those same 4 words of stack space. A function that calls another will need at least a minimal stack frame anyway, so having it allocate those 4 extra words is free in terms of prologue and epilogue.
Part of older calling conventions would tend to include support for varargs (variadic functions) that may not even be properly declared in C code as such. Allowing functions to store their parameters back to caller-allocated memory allows all the arguments to be flushed to memory and be contiguous, which is important for varargs functions. And doing it for all functions is overkill but simplifies some issues.
See https://courses.cs.washington.edu/courses/cse410/09sp/examples/MIPSCallingConventionsSummary.pdf for a picture of the stack frame that includes the 4 words for the register arguments.
In practice I believe that the reservation of 4 words for the callee to use in the caller's stack space is highly overrated, and as evidence would note that this has been dropped in RISC V, for example.
Some Intel systems use a red zone instead, which says that the system agrees not use your stack space within a certain small distance below the stack pointer (i.e. in the unallocated space of the stack). This makes sense on intel as the return address is automatically written to memory so doesn't need to be separately pushed like on MIPS, yet these systems also benefit from some pre-allocated stack space for simple functions to use without necessarily setting up a stack frame (i.e. the red zone).
QUESTION
I can't extract the ip from the register var after ping command from "shell" module.
ping.yml
...ANSWER
Answered 2021-Feb-25 at 16:29Your data structure in yaml looks like this
QUESTION
I am having trouble deleting specific rows from my dataframe. I first collected the rows I wanted to delete and stored them in a variable and tried to drop them from the df, but I'm running into trouble. Can someone guide me?
...ANSWER
Answered 2021-Feb-20 at 00:40This should work: df[~df["platform"].isin(n)] This will show the data frame masked where rows don't contain anything in list n
QUESTION
i have a dataframe of video game titles that were released across multiple platforms, along with their total sales. it looks like this:
...ANSWER
Answered 2021-Jan-17 at 21:49I think a histplot
would be a better way to visualize this problem if "ultimately, what i want to show is how the total sales of each title differs across platforms" This shows the frequency of games with standard deviations (grouped by game) in 0.1 bins. You can pass ddof=0
to not return NaN
values, but that will change the standard devation of all values.
QUESTION
I am using ansible telnet module to login to public route servers (ATT-route-server.ip.att.net) at http://www.routeservers.org/ and do a ping test. here is my script:
PART-A:
...ANSWER
Answered 2021-Jan-15 at 05:21Try this
QUESTION
I have a dataframe that consists of of video game titles on various platforms. it contains, among other values the name, critic's average score and user's average score. Many of them are missing scores for the user, critic and/or ESRB rating.
What i'd like to do is replace the missing rating, critic and user scores with those for the same game on a different platform (assuming they exist) i'm not quite sure how to approach this.(note - i don't want to drop the duplicate names, because they aren't truly duplicate rows)
here is a sample chunk of the dataframe (i've removed some unrelated columns to make it manageable):
...ANSWER
Answered 2021-Jan-14 at 02:26I'm pretty sure pandas.DataFrame.groupby
is what you need:
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